‘Infotaxis’ as a strategy for searching without gradients
Information trail Chemotactic bacteria are guided towards the source of a nutrient by local concentration gradients. That works on the microscopic scale, but at larger scales such local cues are unreliable pointers — for example, wind or water currents may disperse odours sought by foraging animals....
Saved in:
| Published in | Nature Vol. 445; no. 7126; pp. 406 - 409 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
25.01.2007
Nature Publishing Nature Publishing Group |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0028-0836 1476-4687 1476-4687 1476-4679 |
| DOI | 10.1038/nature05464 |
Cover
| Abstract | Information trail
Chemotactic bacteria are guided towards the source of a nutrient by local concentration gradients. That works on the microscopic scale, but at larger scales such local cues are unreliable pointers — for example, wind or water currents may disperse odours sought by foraging animals. Using statistical techniques, Vergassola
et al
. have developed a general search algorithm for movement strategies based on the detection of sporadic cues and partial information. The strategy, termed 'infotaxis' as it maximizes the expected rate of information gain, could find application in the design of 'sniffer' robots.
A computational model of odour plume propagation and experimental data are used to devise a general search algorithm for movement strategies in chemotaxis, based on sporadic cues and partial information. The strategy is termed 'infotaxis' as it locally maximizes the expected rate of information gain.
Chemotactic bacteria rely on local concentration gradients to guide them towards the source of a nutrient
1
. Such local cues pointing towards the location of the source are not always available at macroscopic scales because mixing in a flowing medium breaks up regions of high concentration into random and disconnected patches. Thus, animals sensing odours in air or water detect them only intermittently as patches sweep by on the wind or currents
2
,
3
,
4
,
5
,
6
. A macroscopic searcher must devise a strategy of movement based on sporadic cues and partial information. Here we propose a search algorithm, which we call ‘infotaxis’, designed to work under such conditions. Any search process can be thought of as acquisition of information on source location; for infotaxis, information plays a role similar to concentration in chemotaxis. The infotaxis strategy locally maximizes the expected rate of information gain. We demonstrate its efficiency using a computational model of odour plume propagation and experimental data on mixing flows
7
. Infotactic trajectories feature ‘zigzagging’ and ‘casting’ paths similar to those observed in the flight of moths
8
. The proposed search algorithm is relevant to the design of olfactory robots
9
,
10
,
11
, but the general idea of infotaxis can be applied more broadly in the context of searching with sparse information. |
|---|---|
| AbstractList | Chemotactic bacteria rely on local concentration gradients to guide them towards the source of a nutrient. Such local cues pointing towards the location of the source are not always available at macroscopic scales because mixing in a flowing medium breaks up regions of high concentration into random and disconnected patches. Thus, animals sensing odours in air or water detect them only intermittently as patches sweep by on the wind or currents. A macroscopic searcher must devise a strategy of movement based on sporadic cues and partial information. Here we propose a search algorithm, which we call 'infotaxis', designed to work under such conditions. Any search process can be thought of as acquisition of information on source location; for infotaxis, information plays a role similar to concentration in chemotaxis. The infotaxis strategy locally maximizes the expected rate of information gain. We demonstrate its efficiency using a computational model of odour plume propagation and experimental data on mixing flows. Infotactic trajectories feature 'zigzagging' and 'casting' paths similar to those observed in the flight of moths. The proposed search algorithm is relevant to the design of olfactory robots, but the general idea of infotaxis can be applied more broadly in the context of searching with sparse information. Chemotactic bacteria rely on local concentration gradients to guide them towards the source of a nutrient. Such local cues pointing towards the location of the source are not always available at macroscopic scales because mixing in a flowing medium breaks up regions of high concentration into random and disconnected patches. Thus, animals sensing odours in air or water detect them only intermittently as patches sweep by on the wind or currents. A macroscopic searcher must devise a strategy of movement based on sporadic cues and partial information. Here we propose a search algorithm, which we call 'infotaxis', designed to work under such conditions. Any search process can be thought of as acquisition of information on source location; for infotaxis, information plays a role similar to concentration in chemotaxis. The infotaxis strategy locally maximizes the expected rate of information gain. We demonstrate its efficiency using a computational model of odour plume propagation and experimental data on mixing flows. Infotactic trajectories feature 'zigzagging' and 'casting' paths similar to those observed in the flight of moths. The proposed search algorithm is relevant to the design of olfactory robots, but the general idea of infotaxis can be applied more broadly in the context of searching with sparse information. [PUBLICATION ABSTRACT] Information trail Chemotactic bacteria are guided towards the source of a nutrient by local concentration gradients. That works on the microscopic scale, but at larger scales such local cues are unreliable pointers — for example, wind or water currents may disperse odours sought by foraging animals. Using statistical techniques, Vergassola et al . have developed a general search algorithm for movement strategies based on the detection of sporadic cues and partial information. The strategy, termed 'infotaxis' as it maximizes the expected rate of information gain, could find application in the design of 'sniffer' robots. A computational model of odour plume propagation and experimental data are used to devise a general search algorithm for movement strategies in chemotaxis, based on sporadic cues and partial information. The strategy is termed 'infotaxis' as it locally maximizes the expected rate of information gain. Chemotactic bacteria rely on local concentration gradients to guide them towards the source of a nutrient 1 . Such local cues pointing towards the location of the source are not always available at macroscopic scales because mixing in a flowing medium breaks up regions of high concentration into random and disconnected patches. Thus, animals sensing odours in air or water detect them only intermittently as patches sweep by on the wind or currents 2 , 3 , 4 , 5 , 6 . A macroscopic searcher must devise a strategy of movement based on sporadic cues and partial information. Here we propose a search algorithm, which we call ‘infotaxis’, designed to work under such conditions. Any search process can be thought of as acquisition of information on source location; for infotaxis, information plays a role similar to concentration in chemotaxis. The infotaxis strategy locally maximizes the expected rate of information gain. We demonstrate its efficiency using a computational model of odour plume propagation and experimental data on mixing flows 7 . Infotactic trajectories feature ‘zigzagging’ and ‘casting’ paths similar to those observed in the flight of moths 8 . The proposed search algorithm is relevant to the design of olfactory robots 9 , 10 , 11 , but the general idea of infotaxis can be applied more broadly in the context of searching with sparse information. Chemotactic bacteria rely on local concentration gradients to guide them towards the source of a nutrient. Such local cues pointing towards the location of the source are not always available at macroscopic scales because mixing in a flowing medium breaks up regions of high concentration into random and disconnected patches. Thus, animals sensing odours in air or water detect them only intermittently as patches sweep by on the wind or currents. A macroscopic searcher must devise a strategy of movement based on sporadic cues and partial information. Here we propose a search algorithm, which we call 'infotaxis', designed to work under such conditions. Any search process can be thought of as acquisition of information on source location; for infotaxis, information plays a role similar to concentration in chemotaxis. The infotaxis strategy locally maximizes the expected rate of information gain. We demonstrate its efficiency using a computational model of odour plume propagation and experimental data on mixing flows. Infotactic trajectories feature 'zigzagging' and 'casting' paths similar to those observed in the flight of moths. The proposed search algorithm is relevant to the design of olfactory robots, but the general idea of infotaxis can be applied more broadly in the context of searching with sparse information.Chemotactic bacteria rely on local concentration gradients to guide them towards the source of a nutrient. Such local cues pointing towards the location of the source are not always available at macroscopic scales because mixing in a flowing medium breaks up regions of high concentration into random and disconnected patches. Thus, animals sensing odours in air or water detect them only intermittently as patches sweep by on the wind or currents. A macroscopic searcher must devise a strategy of movement based on sporadic cues and partial information. Here we propose a search algorithm, which we call 'infotaxis', designed to work under such conditions. Any search process can be thought of as acquisition of information on source location; for infotaxis, information plays a role similar to concentration in chemotaxis. The infotaxis strategy locally maximizes the expected rate of information gain. We demonstrate its efficiency using a computational model of odour plume propagation and experimental data on mixing flows. Infotactic trajectories feature 'zigzagging' and 'casting' paths similar to those observed in the flight of moths. The proposed search algorithm is relevant to the design of olfactory robots, but the general idea of infotaxis can be applied more broadly in the context of searching with sparse information. |
| Audience | Academic |
| Author | Shraiman, Boris I. Villermaux, Emmanuel Vergassola, Massimo |
| Author_xml | – sequence: 1 givenname: Massimo surname: Vergassola fullname: Vergassola, Massimo organization: CNRS URA 2171, Institut Pasteur, “In Silico Genetics” – sequence: 2 givenname: Emmanuel surname: Villermaux fullname: Villermaux, Emmanuel organization: Université Aix Marseille 1, IRPHE, Technopole Chateau Gombert – sequence: 3 givenname: Boris I. surname: Shraiman fullname: Shraiman, Boris I. email: shraiman@kitp.ucsb.edu organization: Kavli Institute for Theoretical Physics, University of California |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18453631$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/17251974$$D View this record in MEDLINE/PubMed https://hal.science/hal-00326807$$DView record in HAL |
| BookMark | eNqF001r2zAYB3AzOta022n3YQYdlM2d3mxLhx1C6NZA2GDr2FE8lmVHxbFTSd7aWz9G9_X6SaaQLGlGRtBBIH76SzyPdBQdtF2ro-glRmcYUf6-Bd9bjVKWsSfRALM8S1jG84NogBDhCeI0O4yOnLtCCKU4Z8-iQ5yTFIucDaIPD3f347bqPNwY93D3OwYXQ-y8Ba_r27jqbOw0WDU1bR3_Mn7a9T6uLZRGt949j55W0Dj9YjUfR98_nl-OLpLJl0_j0XCSqIwTnwArkGC4KnQpCq6JolUleImpLnEBChVYZcBTTHiBU9A5gkoJXXIAhHBaInocnS5zp9DIuTUzsLeyAyMvhhO5WEOIkoyj_CcO9s3Szm133Wvn5cw4pZsGWt31TmZcMEIE3QtpxjgnmO-FBGPBKNmfiEWKac5ZgK__gVddb9tQQkkQS2kmhAgoWaIaGi3NokkWVK1bbaEJT6AyYXmIecoYpzTdhG55NTfX8jE624HCKPXMqJ2pp1sbgvH6xtfQOyfH375u27f_t8PLH6PP2_rVqgh9MdPluq9_H2cAJysATkFTWWiVcRvHF5Wii47jpVO2c87qSirjwZtwugXTSIzk4qPIRx9lc9X1nnXsTv1uqV1Qba3tpl-7-B9Ehx-1 |
| CODEN | NATUAS |
| CitedBy_id | crossref_primary_10_1371_journal_pone_0004018 crossref_primary_10_1016_j_cognition_2022_105117 crossref_primary_10_1016_j_inffus_2019_12_011 crossref_primary_10_1002_rob_21844 crossref_primary_10_1016_j_copbio_2017_01_009 crossref_primary_10_1016_j_tetlet_2017_07_024 crossref_primary_10_1103_RevModPhys_85_1115 crossref_primary_10_1038_s41567_023_02330_x crossref_primary_10_1016_j_eswa_2020_113484 crossref_primary_10_1111_j_1461_0248_2012_01856_x crossref_primary_10_1098_rsif_2024_0100 crossref_primary_10_1016_j_amc_2020_125621 crossref_primary_10_1098_rsif_2023_0746 crossref_primary_10_1016_j_measurement_2024_115562 crossref_primary_10_1073_pnas_2316799121 crossref_primary_10_1016_j_tins_2024_08_008 crossref_primary_10_1016_j_physa_2008_04_027 crossref_primary_10_1103_PhysRevResearch_4_013061 crossref_primary_10_3390_e24050639 crossref_primary_10_1038_nphys1941 crossref_primary_10_1038_s41586_020_2033_2 crossref_primary_10_1088_1478_3975_acfd7a crossref_primary_10_1109_OJSP_2023_3344076 crossref_primary_10_1007_s00265_021_03005_4 crossref_primary_10_1119_1_3293976 crossref_primary_10_4018_IJRAT_2017010102 crossref_primary_10_1108_17563781011094205 crossref_primary_10_7554_eLife_76989 crossref_primary_10_1016_j_bmc_2010_02_061 crossref_primary_10_1088_1748_3190_ab1d34 crossref_primary_10_1103_PhysRevE_107_024128 crossref_primary_10_23919_JSC_2023_0002 crossref_primary_10_1088_0953_8984_23_15_153102 crossref_primary_10_1109_LCSYS_2021_3085852 crossref_primary_10_1016_j_cub_2016_03_040 crossref_primary_10_7554_eLife_04220 crossref_primary_10_3354_meps10748 crossref_primary_10_1038_s42005_020_0312_8 crossref_primary_10_1016_j_jglr_2024_102398 crossref_primary_10_1016_j_neuron_2015_09_010 crossref_primary_10_3390_su14053049 crossref_primary_10_1371_journal_pcbi_0030153 crossref_primary_10_1016_j_neucom_2025_129729 crossref_primary_10_1109_TCST_2019_2897504 crossref_primary_10_1146_annurev_chembioeng_062011_081000 crossref_primary_10_1016_j_eswa_2022_119459 crossref_primary_10_3390_s19112465 crossref_primary_10_1007_s10827_014_0500_1 crossref_primary_10_1088_1742_5468_2011_06_P06022 crossref_primary_10_1109_TAES_2022_3184923 crossref_primary_10_1088_1742_5468_ac2cba crossref_primary_10_1088_1757_899X_705_1_012034 crossref_primary_10_1371_journal_pcbi_1004682 crossref_primary_10_1088_1751_8113_42_43_434010 crossref_primary_10_1186_s12915_016_0232_y crossref_primary_10_1111_cogs_13103 crossref_primary_10_3389_fphy_2018_00153 crossref_primary_10_7554_eLife_27670 crossref_primary_10_1038_d41586_022_03561_3 crossref_primary_10_1541_ieejsmas_143_357 crossref_primary_10_1016_j_automatica_2021_109851 crossref_primary_10_21105_joss_04266 crossref_primary_10_1016_j_jmarsys_2015_03_008 crossref_primary_10_1016_j_sigpro_2016_10_005 crossref_primary_10_1038_s42005_023_01432_5 crossref_primary_10_1109_TNNLS_2013_2271645 crossref_primary_10_1209_0295_5075_acc270 crossref_primary_10_1109_TAC_2023_3284595 crossref_primary_10_1146_annurev_control_073119_090634 crossref_primary_10_1016_j_ifacol_2022_10_428 crossref_primary_10_1186_1471_2229_10_32 crossref_primary_10_3389_fnbeh_2022_990792 crossref_primary_10_1016_j_robot_2019_103414 crossref_primary_10_1098_rsif_2021_0171 crossref_primary_10_1152_jn_00105_2024 crossref_primary_10_1523_JNEUROSCI_2512_18_2019 crossref_primary_10_1109_TRO_2024_3426368 crossref_primary_10_1098_rsbl_2020_0329 crossref_primary_10_1146_annurev_fluid_011212_140747 crossref_primary_10_1016_j_conb_2013_11_007 crossref_primary_10_7566_JPSJ_92_121003 crossref_primary_10_1103_PhysRevE_89_042145 crossref_primary_10_1016_j_snb_2013_05_027 crossref_primary_10_1021_acssensors_9b00809 crossref_primary_10_1038_s41567_018_0093_0 crossref_primary_10_1146_annurev_devpsych_070120_014806 crossref_primary_10_1523_JNEUROSCI_1422_21_2022 crossref_primary_10_1109_ACCESS_2022_3160192 crossref_primary_10_1016_j_surfcoat_2014_11_028 crossref_primary_10_3390_s18113720 crossref_primary_10_7554_eLife_76663 crossref_primary_10_3390_s23125387 crossref_primary_10_1016_j_mex_2021_101529 crossref_primary_10_1038_s41598_020_64766_y crossref_primary_10_1098_rspb_2013_3305 crossref_primary_10_1007_s10494_016_9774_x crossref_primary_10_1002_aisy_202300850 crossref_primary_10_1177_1059712311433131 crossref_primary_10_1209_0295_5075_94_20005 crossref_primary_10_7554_eLife_50532 crossref_primary_10_1016_j_robot_2019_03_014 crossref_primary_10_1016_j_mechatronics_2021_102576 crossref_primary_10_7554_eLife_72196 crossref_primary_10_1016_j_jtbi_2020_110510 crossref_primary_10_1038_nmat4239 crossref_primary_10_1109_JSEN_2012_2208740 crossref_primary_10_3390_s20123461 crossref_primary_10_1016_j_tins_2016_08_002 crossref_primary_10_1146_annurev_conmatphys_031214_014803 crossref_primary_10_1371_journal_pcbi_1005969 crossref_primary_10_3389_fnins_2020_00218 crossref_primary_10_1016_j_anucene_2023_110210 crossref_primary_10_1016_j_buildenv_2022_109266 crossref_primary_10_1080_01691864_2013_779052 crossref_primary_10_1111_j_1365_2656_2011_01817_x crossref_primary_10_3390_s17040918 crossref_primary_10_1088_1748_3182_6_1_016002 crossref_primary_10_3389_fnsys_2022_768201 crossref_primary_10_1109_TRO_2019_2912520 crossref_primary_10_1155_2020_4159241 crossref_primary_10_3390_s22145460 crossref_primary_10_1002_andp_201500133 crossref_primary_10_1073_pnas_1314081110 crossref_primary_10_1073_pnas_2107431118 crossref_primary_10_1177_17298806241233909 crossref_primary_10_1111_oik_01782 crossref_primary_10_1111_j_1365_2656_2009_01630_x crossref_primary_10_1007_s11071_025_10861_6 crossref_primary_10_3390_s17040904 crossref_primary_10_1086_656494 crossref_primary_10_1109_TCYB_2019_2924328 crossref_primary_10_1523_JNEUROSCI_1668_18_2018 crossref_primary_10_1109_TNNLS_2018_2885374 crossref_primary_10_1109_JSEN_2021_3069029 crossref_primary_10_1142_S0219525913500161 crossref_primary_10_3389_fevo_2021_698041 crossref_primary_10_3390_s150407512 crossref_primary_10_1016_j_atmosenv_2018_10_065 crossref_primary_10_7554_eLife_55195 crossref_primary_10_1016_j_physa_2020_125307 crossref_primary_10_1162_ARTL_a_00133 crossref_primary_10_1177_0278364917710541 crossref_primary_10_1109_JSEN_2020_3002273 crossref_primary_10_3389_frobt_2018_00052 crossref_primary_10_1016_j_robot_2018_12_008 crossref_primary_10_3389_fpsyg_2019_02688 crossref_primary_10_3390_electronics12143027 crossref_primary_10_1209_0295_5075_128_60003 crossref_primary_10_1146_annurev_ento_011019_024932 crossref_primary_10_1093_icb_icr004 crossref_primary_10_1109_TCYB_2018_2869224 crossref_primary_10_1017_S1473550418000046 crossref_primary_10_1109_ACCESS_2023_3315240 crossref_primary_10_1016_j_cois_2023_101082 crossref_primary_10_1093_g3journal_jkae111 crossref_primary_10_1109_LRA_2024_3511375 crossref_primary_10_1360_SSI_2022_0044 crossref_primary_10_1088_1742_6596_2099_1_012027 crossref_primary_10_1017_S0263574714000903 crossref_primary_10_3390_jmse5010003 crossref_primary_10_1371_journal_pcbi_1003861 crossref_primary_10_1109_TSMCB_2012_2215318 crossref_primary_10_1145_1922649_1922652 crossref_primary_10_3390_oceans2010001 crossref_primary_10_1007_s00162_020_00546_8 crossref_primary_10_1098_rspa_2022_0118 crossref_primary_10_1146_annurev_conmatphys_031720_032754 crossref_primary_10_5802_crmeca_250 crossref_primary_10_3390_s24247875 crossref_primary_10_1016_j_buildenv_2023_111062 crossref_primary_10_1016_j_jtbi_2012_02_016 crossref_primary_10_1093_icesjms_fst103 crossref_primary_10_1016_j_robot_2021_103914 crossref_primary_10_1103_PRXLife_2_023012 crossref_primary_10_1109_ACCESS_2023_3345801 crossref_primary_10_1016_j_bpj_2013_08_029 crossref_primary_10_1016_j_robot_2020_103619 crossref_primary_10_1017_jfm_2019_241 crossref_primary_10_1016_j_cels_2022_05_004 crossref_primary_10_3724_SP_J_1004_2009_01327 crossref_primary_10_7210_jrsj_42_725 crossref_primary_10_3182_20110828_6_IT_1002_01532 crossref_primary_10_1016_j_neubiorev_2021_06_040 crossref_primary_10_1016_j_jnlssr_2021_08_004 crossref_primary_10_1098_rsif_2014_1383 crossref_primary_10_1109_TAES_2021_3098132 crossref_primary_10_1016_j_jtbi_2024_111941 crossref_primary_10_1016_j_asr_2019_12_029 crossref_primary_10_3390_jmse11020366 crossref_primary_10_1016_j_eswa_2023_122569 crossref_primary_10_1063_5_0133953 crossref_primary_10_1016_j_atmosenv_2016_07_011 crossref_primary_10_1088_1751_8113_42_43_434009 crossref_primary_10_3389_frobt_2015_00012 crossref_primary_10_1016_j_snb_2016_05_098 crossref_primary_10_1209_0295_5075_ac6620 crossref_primary_10_1073_pnas_2304230120 crossref_primary_10_1103_PhysRevE_103_012114 crossref_primary_10_1016_j_jlp_2024_105276 crossref_primary_10_1371_journal_pone_0072808 crossref_primary_10_1103_PhysRevE_76_046315 crossref_primary_10_1016_j_robot_2018_11_014 crossref_primary_10_1109_JSEN_2024_3373610 crossref_primary_10_1109_TAC_2022_3221907 crossref_primary_10_1016_j_crci_2010_11_009 crossref_primary_10_1017_jfm_2016_799 crossref_primary_10_1109_TRO_2024_3454572 crossref_primary_10_1242_jeb_231829 crossref_primary_10_1016_j_eswa_2023_120033 crossref_primary_10_1371_journal_pcbi_1003826 crossref_primary_10_1016_j_ecss_2016_10_022 crossref_primary_10_3390_s24072309 crossref_primary_10_1016_j_inffus_2015_06_008 crossref_primary_10_1017_S0263574721000904 crossref_primary_10_1109_TNNLS_2022_3225184 crossref_primary_10_1007_s10846_019_01014_0 crossref_primary_10_1016_j_neucom_2022_04_131 crossref_primary_10_1109_TIM_2022_3218316 crossref_primary_10_1073_pnas_1406608111 crossref_primary_10_1016_j_buildenv_2020_107349 crossref_primary_10_1038_s41467_022_32247_7 crossref_primary_10_1039_D2OB02195A crossref_primary_10_1088_1478_3975_5_2_026007 crossref_primary_10_1371_journal_pone_0140428 crossref_primary_10_1103_PhysRevE_103_022124 crossref_primary_10_1016_j_atmosenv_2013_03_044 crossref_primary_10_1016_j_ast_2024_109330 crossref_primary_10_1098_rsif_2019_0174 crossref_primary_10_1088_1367_2630_abdb70 crossref_primary_10_1103_PhysRevLett_117_178102 crossref_primary_10_1109_TNNLS_2024_3349467 crossref_primary_10_1038_nri_2015_16 crossref_primary_10_1111_ele_12660 crossref_primary_10_1140_epjst_e2017_70067_1 crossref_primary_10_1007_s00359_011_0708_8 crossref_primary_10_1126_sciadv_adj4064 crossref_primary_10_1016_j_ins_2014_02_010 crossref_primary_10_1007_s10071_009_0294_0 crossref_primary_10_7554_eLife_57524 crossref_primary_10_1038_s41567_019_0460_5 crossref_primary_10_1038_s41598_019_48638_8 crossref_primary_10_1109_TCIAIG_2013_2295372 crossref_primary_10_1007_s11047_019_09766_2 crossref_primary_10_1007_s00359_013_0832_8 crossref_primary_10_1098_rstb_2019_0503 crossref_primary_10_1371_journal_pcbi_1006275 crossref_primary_10_3390_sym12040549 crossref_primary_10_1109_TAC_2012_2192356 crossref_primary_10_1109_ACCESS_2019_2940936 crossref_primary_10_1002_andp_202000508 crossref_primary_10_1016_j_ecocom_2013_08_001 crossref_primary_10_1038_s42003_022_04137_7 crossref_primary_10_1109_ACCESS_2019_2900475 crossref_primary_10_7554_eLife_37815 crossref_primary_10_1016_j_nucengdes_2023_112769 crossref_primary_10_1016_j_psep_2021_08_001 crossref_primary_10_1103_PhysRevE_89_032718 crossref_primary_10_1073_pnas_1202686109 crossref_primary_10_1103_PhysRevE_109_L052105 crossref_primary_10_1088_1751_8121_ad591f crossref_primary_10_1017_jfm_2017_137 crossref_primary_10_1016_j_inffus_2019_07_007 crossref_primary_10_3389_fbioe_2020_565963 crossref_primary_10_1038_srep12196 crossref_primary_10_1016_j_conb_2012_06_005 crossref_primary_10_1007_s10867_011_9253_5 crossref_primary_10_1038_nphys2010 crossref_primary_10_1016_j_measurement_2021_109725 crossref_primary_10_1038_445371a crossref_primary_10_1086_691099 crossref_primary_10_1016_j_cub_2021_08_004 crossref_primary_10_1007_s10955_015_1332_8 crossref_primary_10_1016_j_plrev_2019_11_008 crossref_primary_10_1093_chemse_bjz052 crossref_primary_10_1103_RevModPhys_83_81 crossref_primary_10_1109_ACCESS_2022_3228618 crossref_primary_10_3390_e16020789 crossref_primary_10_1016_j_physleta_2016_03_013 crossref_primary_10_1103_PhysRevE_107_055105 crossref_primary_10_1002_rob_22109 crossref_primary_10_7554_eLife_85910 crossref_primary_10_1080_18824889_2024_2374569 crossref_primary_10_1016_j_inffus_2016_11_010 crossref_primary_10_1007_s12046_020_1318_3 crossref_primary_10_1073_pnas_1221091110 crossref_primary_10_1109_LRA_2019_2893420 crossref_primary_10_1038_s41559_019_1008_x crossref_primary_10_1186_1756_3305_6_131 crossref_primary_10_3389_fnbot_2022_914706 crossref_primary_10_1007_s10514_019_09882_z crossref_primary_10_1007_s10980_012_9812_6 crossref_primary_10_1016_j_cub_2020_08_079 crossref_primary_10_2514_1_A34982 crossref_primary_10_1109_LRA_2022_3184787 crossref_primary_10_1007_s10514_013_9336_1 crossref_primary_10_1080_10962247_2022_2102093 crossref_primary_10_1103_PhysRevE_103_052123 crossref_primary_10_1073_pnas_0907929106 crossref_primary_10_1371_journal_pone_0198422 crossref_primary_10_1007_s00265_013_1494_9 crossref_primary_10_1016_j_scitotenv_2020_144029 crossref_primary_10_1109_TRO_2019_2894039 crossref_primary_10_1016_j_neucom_2023_126281 crossref_primary_10_1109_TMRB_2021_3129113 crossref_primary_10_1111_j_1469_185X_2008_00052_x crossref_primary_10_1007_s10514_011_9219_2 crossref_primary_10_1098_rsif_2022_0258 crossref_primary_10_3389_fpsyg_2016_00902 crossref_primary_10_3390_s18124174 crossref_primary_10_1016_j_physrep_2019_03_001 crossref_primary_10_1016_j_ifacol_2017_08_632 crossref_primary_10_1016_j_crhy_2015_09_004 crossref_primary_10_1371_journal_pcbi_1006109 crossref_primary_10_1038_nphys3413 crossref_primary_10_1109_LRA_2019_2895820 crossref_primary_10_1039_b811447c crossref_primary_10_3390_e26040302 crossref_primary_10_1016_j_jtbi_2012_04_034 crossref_primary_10_1139_cjfas_2013_0487 crossref_primary_10_1016_j_ast_2021_107315 crossref_primary_10_3390_s120404737 crossref_primary_10_3390_s23125716 crossref_primary_10_3390_s19030656 crossref_primary_10_1007_s00441_020_03400_9 crossref_primary_10_1103_PhysRevLett_114_158701 crossref_primary_10_7717_peerj_3121 crossref_primary_10_1016_j_atmosenv_2008_01_020 crossref_primary_10_7210_jrsj_35_440 crossref_primary_10_1038_s41586_021_03514_2 crossref_primary_10_1109_TFR_2024_3495613 crossref_primary_10_3389_fnbeh_2022_871884 crossref_primary_10_7554_eLife_52371 crossref_primary_10_1098_rspb_2015_1346 crossref_primary_10_1109_TFUZZ_2019_2915187 crossref_primary_10_3390_s19030520 crossref_primary_10_1007_s11721_018_0156_y crossref_primary_10_1016_j_neucom_2013_05_028 crossref_primary_10_1038_srep40029 crossref_primary_10_1103_PhysRevX_4_041015 crossref_primary_10_1088_1748_3182_8_4_046011 crossref_primary_10_3390_fluids5020082 crossref_primary_10_1109_TCNS_2023_3330197 crossref_primary_10_1103_PhysRevLett_109_068702 crossref_primary_10_3390_s19030478 crossref_primary_10_1093_nc_niz016 crossref_primary_10_1016_j_ins_2021_12_041 crossref_primary_10_1088_1742_5468_ad6c2c crossref_primary_10_1371_journal_pcbi_1003178 crossref_primary_10_1016_j_inffus_2024_102503 crossref_primary_10_1088_1742_5468_aa7dfc crossref_primary_10_1109_LRA_2021_3057290 crossref_primary_10_7554_eLife_72415 crossref_primary_10_1016_j_bica_2017_02_001 crossref_primary_10_1016_j_inffus_2017_10_009 crossref_primary_10_1371_journal_pone_0093036 crossref_primary_10_1007_s10955_015_1444_1 crossref_primary_10_1103_PhysRevLett_110_204501 crossref_primary_10_1007_s00232_011_9362_x crossref_primary_10_1073_pnas_1013499108 crossref_primary_10_1109_LRA_2019_2921948 crossref_primary_10_1113_JP271444 crossref_primary_10_1007_s10546_007_9246_x crossref_primary_10_1038_s41598_023_27662_9 crossref_primary_10_1088_1751_8113_49_37_374001 crossref_primary_10_1103_PhysRevE_106_054122 crossref_primary_10_1073_pnas_1812810116 crossref_primary_10_1371_journal_pone_0297754 crossref_primary_10_1103_PhysRevLett_128_094501 crossref_primary_10_1086_591687 crossref_primary_10_1073_pnas_1606195113 crossref_primary_10_1016_j_atmosenv_2017_03_009 crossref_primary_10_1371_journal_pone_0061220 crossref_primary_10_1016_j_celrep_2015_08_032 crossref_primary_10_1103_PhysRevLett_110_248106 crossref_primary_10_1063_1_4990866 crossref_primary_10_7453_gahmj_2013_058 crossref_primary_10_1109_TFUZZ_2020_3011741 crossref_primary_10_3390_s23031140 crossref_primary_10_1002_tee_23364 crossref_primary_10_1016_j_cub_2010_04_048 crossref_primary_10_1016_j_biosystems_2021_104524 crossref_primary_10_1093_icb_icv036 crossref_primary_10_3390_e22060635 crossref_primary_10_3390_s23208512 crossref_primary_10_1016_j_jtbi_2021_110607 crossref_primary_10_1073_pnas_2317618121 crossref_primary_10_2976_1_3171566 crossref_primary_10_7554_eLife_85756 crossref_primary_10_1088_1478_3975_aa84ea crossref_primary_10_1088_1367_2630_aba76b crossref_primary_10_1016_S1672_6529_14_60036_6 crossref_primary_10_1007_s10514_022_10063_8 crossref_primary_10_1109_TCST_2018_2860548 crossref_primary_10_1111_brv_12240 crossref_primary_10_1038_s41467_022_31795_2 crossref_primary_10_1126_scirobotics_aav6079 crossref_primary_10_2478_s13230_011_0020_x crossref_primary_10_1007_s10955_011_0251_6 crossref_primary_10_1073_pnas_2009821117 crossref_primary_10_1109_JSEN_2015_2393893 crossref_primary_10_1109_TMRB_2020_3007948 crossref_primary_10_1177_0278364920957090 crossref_primary_10_3390_e21121212 crossref_primary_10_1016_j_cam_2016_06_004 crossref_primary_10_1016_j_cobeha_2016_06_009 crossref_primary_10_3389_fphys_2022_1004124 crossref_primary_10_3390_s22031032 crossref_primary_10_1007_s10955_016_1521_0 crossref_primary_10_1111_j_1751_7915_2011_00309_x crossref_primary_10_1111_gbb_12793 crossref_primary_10_3390_environments12010018 crossref_primary_10_1146_annurev_micro_091208_073229 crossref_primary_10_1016_j_sigpro_2021_108430 crossref_primary_10_1088_1742_5468_ac57b9 crossref_primary_10_7554_eLife_43735 crossref_primary_10_1109_TITS_2023_3289173 crossref_primary_10_1021_es100776h crossref_primary_10_1109_MRA_2019_2943006 crossref_primary_10_1016_j_biosystems_2008_05_009 crossref_primary_10_1523_ENEURO_0212_19_2019 crossref_primary_10_1007_s10886_008_9483_6 crossref_primary_10_1103_PhysRevE_90_023003 crossref_primary_10_3389_fncel_2021_633757 crossref_primary_10_1038_s41598_019_53273_4 crossref_primary_10_1242_jeb_244590 crossref_primary_10_1299_transjsme_2014dr0131 crossref_primary_10_3389_fphy_2019_00112 crossref_primary_10_1088_1751_8121_ab5088 crossref_primary_10_1111_j_1756_8765_2009_01047_x crossref_primary_10_1016_j_ast_2021_107276 crossref_primary_10_1109_TIM_2017_2759378 crossref_primary_10_1007_s00018_024_05223_1 crossref_primary_10_1016_j_cois_2020_04_004 crossref_primary_10_1098_rsos_160128 crossref_primary_10_1186_s12862_022_02005_w crossref_primary_10_7554_eLife_85303 crossref_primary_10_1016_j_jhazmat_2025_137474 crossref_primary_10_1073_pnas_1618055114 crossref_primary_10_1016_j_buildenv_2023_109983 crossref_primary_10_3389_fncom_2021_629380 crossref_primary_10_1108_17563780911005863 crossref_primary_10_1016_j_cub_2024_07_009 crossref_primary_10_1007_s11063_023_11329_7 crossref_primary_10_1016_j_scitotenv_2020_141172 crossref_primary_10_1038_s42256_022_00599_w crossref_primary_10_1098_rsif_2012_0509 crossref_primary_10_1016_j_adhoc_2012_08_007 crossref_primary_10_1155_2015_678451 crossref_primary_10_1016_j_jnlssr_2024_09_001 crossref_primary_10_1016_j_conb_2017_09_002 crossref_primary_10_3390_s23229232 crossref_primary_10_1007_s00422_010_0398_2 crossref_primary_10_1093_icb_icv073 crossref_primary_10_1016_j_buildenv_2017_03_030 crossref_primary_10_1017_S0263574722001321 crossref_primary_10_1140_epje_s10189_023_00277_8 crossref_primary_10_1088_2632_072X_ac457a crossref_primary_10_1109_LRA_2022_3143890 crossref_primary_10_1007_s10955_017_1767_1 crossref_primary_10_1103_PhysRevE_110_L042101 crossref_primary_10_1515_nf_2022_0006 crossref_primary_10_1042_BST0381270 crossref_primary_10_1073_pnas_1703958114 |
| Cites_doi | 10.1016/S0921-8890(03)00120-9 10.1002/j.1538-7305.1948.tb01338.x 10.1016/S0921-8890(99)00068-8 10.1007/s10514-006-7536-7 10.1111/j.1365-3032.1981.tb00262.x 10.1038/369142a0 10.1007/s003590050261 10.1103/RevModPhys.73.913 10.1109/JSEN.2004.839597 10.1007/978-3-662-07911-9 10.1038/417359a 10.1109/JOE.2004.838066 10.1109/TSMCB.2003.810873 10.1038/35015000 10.1146/annurev.en.37.010192.002445 10.1002/0471200611 10.1038/ncb915 10.1142/4042 10.1016/0925-4005(96)01907-7 10.1177/10597123010093003 10.1016/S0956-5663(98)00106-7 10.1103/PhysRevLett.91.184501 10.1073/pnas.192393499 10.1016/S0006-3495(77)85544-6 |
| ContentType | Journal Article |
| Copyright | Springer Nature Limited 2006 2007 INIST-CNRS COPYRIGHT 2007 Nature Publishing Group Copyright Nature Publishing Group Jan 25, 2007 Distributed under a Creative Commons Attribution 4.0 International License |
| Copyright_xml | – notice: Springer Nature Limited 2006 – notice: 2007 INIST-CNRS – notice: COPYRIGHT 2007 Nature Publishing Group – notice: Copyright Nature Publishing Group Jan 25, 2007 – notice: Distributed under a Creative Commons Attribution 4.0 International License |
| DBID | AAYXX CITATION IQODW CGR CUY CVF ECM EIF NPM ATWCN 3V. 7QG 7QL 7QP 7QR 7RV 7SN 7SS 7ST 7T5 7TG 7TK 7TM 7TO 7U9 7X2 7X7 7XB 88A 88E 88G 88I 8AF 8AO 8C1 8FD 8FE 8FG 8FH 8FI 8FJ 8FK 8G5 ABJCF ABUWG AEUYN AFKRA ARAPS ATCPS AZQEC BBNVY BEC BENPR BGLVJ BHPHI BKSAR C1K CCPQU D1I DWQXO FR3 FYUFA GHDGH GNUQQ GUQSH H94 HCIFZ K9. KB. KB0 KL. L6V LK8 M0K M0S M1P M2M M2O M2P M7N M7P M7S MBDVC NAPCQ P5Z P62 P64 PATMY PCBAR PDBOC PHGZM PHGZT PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PSYQQ PTHSS PYCSY Q9U R05 RC3 S0X SOI 7T7 7SC 7SP 7SR 7TB 7U5 8BQ F28 JG9 JQ2 KR7 L7M L~C L~D 7X8 1XC |
| DOI | 10.1038/nature05464 |
| DatabaseName | CrossRef Pascal-Francis Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Middle School ProQuest Central (Corporate) Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Calcium & Calcified Tissue Abstracts Chemoreception Abstracts ProQuest Nursing & Allied Health Database Ecology Abstracts Entomology Abstracts (Full archive) Environment Abstracts Immunology Abstracts Meteorological & Geoastrophysical Abstracts Neurosciences Abstracts Nucleic Acids Abstracts Oncogenes and Growth Factors Abstracts Virology and AIDS Abstracts Agricultural Science Collection Health & Medical Collection ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) Psychology Database (Alumni) Science Database (Alumni Edition) STEM Database ProQuest Pharma Collection Public Health Database Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Journals Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Research Library Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection Agricultural & Environmental Science Collection ProQuest Central Essentials Biological Science Collection ProQuest eLibrary (NC LIVE) ProQuest Central Technology Collection Natural Science Collection ProQuest Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Materials Science Collection ProQuest Central Korea Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student Research Library Prep AIDS and Cancer Research Abstracts SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Materials Science Database Nursing & Allied Health Database (Alumni Edition) Meteorological & Geoastrophysical Abstracts - Academic ProQuest Engineering Collection Biological Sciences Agricultural Science Database Health & Medical Collection (Alumni Edition) Medical Database Psychology Database Research Library Science Database Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database Engineering Database Research Library (Corporate) Nursing & Allied Health Premium Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Environmental Science Database Earth, Atmospheric & Aquatic Science Database Materials Science Collection ProQuest Central Premium ProQuest One Academic ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest One Psychology Engineering Collection Environmental Science Collection ProQuest Central Basic University of Michigan Genetics Abstracts SIRS Editorial Environment Abstracts Industrial and Applied Microbiology Abstracts (Microbiology A) Computer and Information Systems Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts Mechanical & Transportation Engineering Abstracts Solid State and Superconductivity Abstracts METADEX ANTE: Abstracts in New Technology & Engineering Materials Research Database ProQuest Computer Science Collection Civil Engineering Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional MEDLINE - Academic Hyper Article en Ligne (HAL) |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Agricultural Science Database ProQuest One Psychology Research Library Prep ProQuest Central Student Oncogenes and Growth Factors Abstracts ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials Nucleic Acids Abstracts elibrary ProQuest AP Science SciTech Premium Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Meteorological & Geoastrophysical Abstracts Natural Science Collection Health & Medical Research Collection Biological Science Collection Chemoreception Abstracts ProQuest Central (New) ProQuest Medical Library (Alumni) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database Virology and AIDS Abstracts ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database Agricultural Science Collection ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database Ecology Abstracts Neurosciences Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Environmental Science Collection Entomology Abstracts Nursing & Allied Health Premium ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Environmental Science Database ProQuest Nursing & Allied Health Source (Alumni) Engineering Research Database ProQuest One Academic Calcium & Calcified Tissue Abstracts Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New) University of Michigan Technology Collection Technology Research Database ProQuest One Academic Middle East (New) SIRS Editorial Materials Science Collection ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing Research Library (Alumni Edition) ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Biology Journals (Alumni Edition) ProQuest Central Earth, Atmospheric & Aquatic Science Collection ProQuest Health & Medical Research Collection Genetics Abstracts ProQuest Engineering Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) Agricultural & Environmental Science Collection AIDS and Cancer Research Abstracts Materials Science Database ProQuest Research Library ProQuest Materials Science Collection ProQuest Public Health ProQuest Central Basic ProQuest Science Journals ProQuest Nursing & Allied Health Source ProQuest Psychology Journals (Alumni) ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest Medical Library ProQuest Psychology Journals Animal Behavior Abstracts Materials Science & Engineering Collection Immunology Abstracts Environment Abstracts ProQuest Central (Alumni) Industrial and Applied Microbiology Abstracts (Microbiology A) Materials Research Database Civil Engineering Abstracts Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts METADEX Computer and Information Systems Abstracts Professional Engineered Materials Abstracts Solid State and Superconductivity Abstracts Advanced Technologies Database with Aerospace ANTE: Abstracts in New Technology & Engineering MEDLINE - Academic |
| DatabaseTitleList | MEDLINE Engineering Research Database Entomology Abstracts MEDLINE - Academic Materials Research Database Agricultural Science Database |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 3 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Sciences (General) Physics Biology |
| EISSN | 1476-4687 1476-4679 |
| EndPage | 409 |
| ExternalDocumentID | oai:HAL:hal-00326807v1 1201972691 A185448335 17251974 18453631 10_1038_nature05464 |
| Genre | Research Support, Non-U.S. Gov't Journal Article |
| GroupedDBID | --- --Z -DZ -ET -~X .-4 .55 .CO .GJ .HR .XZ 00M 07C 08P 0R~ 0WA 123 186 1VR 29M 2KS 2XV 354 39C 3O- 3V. 4.4 41X 42X 4R4 53G 5RE 6TJ 70F 7RV 7X2 7X7 7XC 85S 88A 88E 88I 8AF 8AO 8C1 8CJ 8FE 8FG 8FH 8FI 8FJ 8G5 8R4 8R5 8WZ 97F 97L 9M8 A6W A7Z A8Z AAEEF AAHBH AAHTB AAIKC AAKAB AAKAS AAMNW AASDW AAYEP AAYOK AAYZH ABAWZ ABDBF ABDQB ABEFU ABFSI ABIVO ABJCF ABJNI ABLJU ABNNU ABOCM ABPEJ ABPPZ ABTAH ABUWG ABWJO ABZEH ACBEA ACBWK ACGFO ACGFS ACGOD ACIWK ACKOT ACMJI ACNCT ACPRK ACRPL ACUHS ACWUS ADBBV ADFRT ADNMO ADUKH ADYSU ADZCM AENEX AEUYN AFFDN AFFNX AFHKK AFKRA AFLOW AFRAH AFSHS AGAYW AGCDD AGGDT AGHSJ AGHTU AGNAY AGSOS AHMBA AHSBF AIDAL AIDUJ AIYXT ALFFA ALIPV ALMA_UNASSIGNED_HOLDINGS AMTXH APEBS ARAPS ARMCB ARTTT ASPBG ATCPS ATWCN AVWKF AXYYD AZFZN AZQEC B0M BBNVY BCR BCU BDKGC BEC BENPR BES BGLVJ BHPHI BIN BKEYQ BKKNO BKOMP BKSAR BLC BPHCQ BVXVI CCPQU CJ0 CS3 D1I D1J D1K DB5 DO4 DU5 DWQXO E.- E.L EAD EAP EAS EAZ EBC EBD EBO EBS ECC EE. EJD EMB EMF EMH EMK EMOBN EPL EPS ESE ESN ESX EX3 EXGXG F5P FEDTE FQGFK FSGXE FYUFA GNUQQ GUQSH HCIFZ HMCUK HVGLF HZ~ I-F IAO ICQ IEA IEP IGS IH2 IHR INH INR IOF IPY ISR ITC K6- KB. KOO L-9 L6V L7B LK5 LK8 M0K M0L M1P M2M M2O M2P M7P M7R M7S MVM N9A NAPCQ NEJ NEPJS O9- OBC OES OHH OHT OMK OVD P-O P2P P62 PATMY PCBAR PDBOC PEA PKN PM3 PQQKQ PROAC PSQYO PSYQQ PTHSS PYCSY Q2X R05 RND RNS RNT RNTTT RXW S0X SC5 SHXYY SIXXV SJFOW SJN SNYQT SOJ SV3 TAE TAOOD TBHMF TDRGL TEORI TH9 TN5 TSG TUS TWZ U5U UIG UKHRP UKR UMD UQL USG VOH VQA VVN WH7 WOW X7L X7M XIH XKW XZL Y6R YAE YCJ YFH YIF YIN YNT YOC YQT YR2 YR5 YXB YYP YZZ Z5M ZCA ZGI ZHY ZKB ZKG ZY4 ~02 ~7V ~88 ~8M ~G0 ~KM 1CY 1OL 1VW 3EH 41~ 663 79B AAJYS AARCD AAVBQ AAYXX ABDPE ABFSG ACBNA ACBTR ACSTC ACTDY ADGHP ADRHT ADXHL AETEA AEZWR AFANA AFBBN AFHIU AFKWF AGQPQ AHWEU AIXLP AJUXI ALPWD ATHPR CITATION ESTFP FA8 FAC HG6 J5H LGEZI LOTEE LSO N4W NADUK NFIDA NXXTH ODYON PHGZM PHGZT PJZUB PPXIY PQGLB PUEGO PV9 QS- R4F RHI SKT TUD UBY UHB XOL YJ6 YQI YQJ YV5 YXA YYQ ZCG ZE2 IQODW CGR CUY CVF ECM EIF NPM ABUFD ACMFV AEIIB PMFND 7QG 7QL 7QP 7QR 7SN 7SS 7ST 7T5 7TG 7TK 7TM 7TO 7U9 7XB 8FD 8FK C1K FR3 H94 K9. KL. M7N MBDVC P64 PKEHL PQEST PQUKI PRINS Q9U RC3 SOI 36B ABCQX AFWHJ AHBCP AHOSX AIBTJ D0L NNMJJ QF4 QM4 QN7 QO4 7T7 7SC 7SP 7SR 7TB 7U5 8BQ F28 JG9 JQ2 KR7 L7M L~C L~D 7X8 1XC AGSTI |
| ID | FETCH-LOGICAL-c682t-a4b0941fbed9b8e2c3ff98d13ed1bac0b1c6a85128b15ae70afc9ed8aa0015d03 |
| IEDL.DBID | BENPR |
| ISSN | 0028-0836 1476-4687 |
| IngestDate | Tue Oct 14 20:28:07 EDT 2025 Wed Oct 01 09:52:39 EDT 2025 Thu Oct 02 19:55:53 EDT 2025 Tue Oct 07 09:24:56 EDT 2025 Thu Oct 02 10:30:03 EDT 2025 Tue Oct 07 05:52:26 EDT 2025 Fri Jun 13 00:45:22 EDT 2025 Tue Jun 10 15:35:28 EDT 2025 Mon Oct 20 17:27:04 EDT 2025 Thu Oct 16 16:11:06 EDT 2025 Thu Oct 16 16:15:41 EDT 2025 Wed Feb 19 01:47:17 EST 2025 Mon Jul 21 09:14:48 EDT 2025 Wed Oct 01 03:36:28 EDT 2025 Thu Apr 24 22:59:59 EDT 2025 Fri Feb 21 02:37:52 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 7126 |
| Keywords | Simulation Taxis Bacteria Trajectory Detection Mathematical model Infotaxis Algorithm Odor |
| Language | English |
| License | http://www.springer.com/tdm CC BY 4.0 Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c682t-a4b0941fbed9b8e2c3ff98d13ed1bac0b1c6a85128b15ae70afc9ed8aa0015d03 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
| ORCID | 0000-0001-5130-4862 0000-0002-7212-8244 0000-0003-0886-8990 |
| PMID | 17251974 |
| PQID | 204536999 |
| PQPubID | 23462 |
| PageCount | 4 |
| ParticipantIDs | hal_primary_oai_HAL_hal_00326807v1 proquest_miscellaneous_68942293 proquest_miscellaneous_36488218 proquest_miscellaneous_21194323 proquest_miscellaneous_19513784 proquest_journals_204536999 gale_infotracgeneralonefile_A185448335 gale_infotraccpiq_185448335 gale_infotracacademiconefile_A185448335 gale_incontextgauss_ISR_A185448335 gale_incontextgauss_ATWCN_A185448335 pubmed_primary_17251974 pascalfrancis_primary_18453631 crossref_citationtrail_10_1038_nature05464 crossref_primary_10_1038_nature05464 springer_journals_10_1038_nature05464 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2007-01-25 |
| PublicationDateYYYYMMDD | 2007-01-25 |
| PublicationDate_xml | – month: 01 year: 2007 text: 2007-01-25 day: 25 |
| PublicationDecade | 2000 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationSubtitle | International weekly journal of science |
| PublicationTitle | Nature |
| PublicationTitleAbbrev | Nature |
| PublicationTitleAlternate | Nature |
| PublicationYear | 2007 |
| Publisher | Nature Publishing Group UK Nature Publishing Nature Publishing Group |
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing – name: Nature Publishing Group |
| References | B Webb (BFnature05464_CR10) 2002; 417 TM Cover (BFnature05464_CR27) 1991 RA Russell (BFnature05464_CR9) 1999 E Balkovsky (BFnature05464_CR29) 2002; 99 BS Hansson (BFnature05464_CR6) 1999 H Ishida (BFnature05464_CR13) 1996; 33 RA Russell (BFnature05464_CR16) 2003; 45 J Murlis (BFnature05464_CR3) 1992; 37 A Mafra-Neto (BFnature05464_CR5) 1994; 369 L Marques (BFnature05464_CR11) 2006; 20 JA Farrell (BFnature05464_CR20) 2005; 30 JS Kennedy (BFnature05464_CR8) 1983; 27 FW Grasso (BFnature05464_CR15) 2000; 30 J Murlis (BFnature05464_CR22) 1981; 6 TL Payne (BFnature05464_CR2) 1986 JA Farrell (BFnature05464_CR19) 2003; 33 H Ishida (BFnature05464_CR21) 2005; 5 BFnature05464_CR25 E Villermaux (BFnature05464_CR7) 2003; 91 BI Shraiman (BFnature05464_CR23) 2000; 405 CE Shannon (BFnature05464_CR26) 1948; 27 DB Dusenbery (BFnature05464_CR4) 1992 W Li (BFnature05464_CR18) 2001; 9 BC Berg (BFnature05464_CR1) 1993 HC Berg (BFnature05464_CR12) 1977; 20 Y Kuwana (BFnature05464_CR14) 1999; 14 G Falkovich (BFnature05464_CR24) 2001; 73 UB Kaupp (BFnature05464_CR30) 2003; 5 RS Sutton (BFnature05464_CR28) 1998 JH Belanger (BFnature05464_CR17) 1998; 183 17251964 - Nature. 2007 Jan 25;445(7126):371-2 |
| References_xml | – volume: 45 start-page: 83 year: 2003 ident: BFnature05464_CR16 publication-title: Rob. Auton. Syst. doi: 10.1016/S0921-8890(03)00120-9 – volume: 27 start-page: 379 year: 1948 ident: BFnature05464_CR26 publication-title: Bell Syst. Tech. J. doi: 10.1002/j.1538-7305.1948.tb01338.x – volume: 30 start-page: 115 year: 2000 ident: BFnature05464_CR15 publication-title: Rob. Auton. Syst. doi: 10.1016/S0921-8890(99)00068-8 – volume: 20 start-page: 183 year: 2006 ident: BFnature05464_CR11 publication-title: Auton. Robots doi: 10.1007/s10514-006-7536-7 – volume: 6 start-page: 71 year: 1981 ident: BFnature05464_CR22 publication-title: Physiol. Entomol. doi: 10.1111/j.1365-3032.1981.tb00262.x – volume: 369 start-page: 142 year: 1994 ident: BFnature05464_CR5 publication-title: Nature doi: 10.1038/369142a0 – volume: 183 start-page: 345 year: 1998 ident: BFnature05464_CR17 publication-title: J. Comp. Physiol. A doi: 10.1007/s003590050261 – volume: 73 start-page: 913 year: 2001 ident: BFnature05464_CR24 publication-title: Rev. Mod. Phys. doi: 10.1103/RevModPhys.73.913 – volume: 5 start-page: 537 year: 2005 ident: BFnature05464_CR21 publication-title: IEEE Sensors J. doi: 10.1109/JSEN.2004.839597 – volume-title: Insect Olfaction year: 1999 ident: BFnature05464_CR6 doi: 10.1007/978-3-662-07911-9 – volume: 417 start-page: 359 year: 2002 ident: BFnature05464_CR10 publication-title: Nature doi: 10.1038/417359a – volume: 30 start-page: 428 year: 2005 ident: BFnature05464_CR20 publication-title: IEEE J. Ocean. Eng. doi: 10.1109/JOE.2004.838066 – volume: 33 start-page: 850 year: 2003 ident: BFnature05464_CR19 publication-title: IEEE Trans. Syst. Man Cybern. B doi: 10.1109/TSMCB.2003.810873 – volume: 405 start-page: 639 year: 2000 ident: BFnature05464_CR23 publication-title: Nature doi: 10.1038/35015000 – volume: 27 start-page: 58 year: 1983 ident: BFnature05464_CR8 publication-title: Physiol. Entomol. – volume: 37 start-page: 505 year: 1992 ident: BFnature05464_CR3 publication-title: Annu. Rev. Entomol. doi: 10.1146/annurev.en.37.010192.002445 – volume-title: Mechanisms in Insect Olfaction year: 1986 ident: BFnature05464_CR2 – volume-title: Reinforcement Learning: An Introduction year: 1998 ident: BFnature05464_CR28 – volume-title: Elements of Information Theory year: 1991 ident: BFnature05464_CR27 doi: 10.1002/0471200611 – volume-title: Random Walks in Biology year: 1993 ident: BFnature05464_CR1 – volume: 5 start-page: 109 year: 2003 ident: BFnature05464_CR30 publication-title: Nature Cell Biol. doi: 10.1038/ncb915 – volume-title: Odor Detection by Mobile Robots year: 1999 ident: BFnature05464_CR9 doi: 10.1142/4042 – volume: 33 start-page: 115 year: 1996 ident: BFnature05464_CR13 publication-title: Sens. Actuators B doi: 10.1016/0925-4005(96)01907-7 – volume: 9 start-page: 143 year: 2001 ident: BFnature05464_CR18 publication-title: Adapt. Behav. doi: 10.1177/10597123010093003 – ident: BFnature05464_CR25 – volume-title: Sensory Ecology: How Organisms Acquire and Respond to Information year: 1992 ident: BFnature05464_CR4 – volume: 14 start-page: 195 year: 1999 ident: BFnature05464_CR14 publication-title: Biosens. Bioelectron. doi: 10.1016/S0956-5663(98)00106-7 – volume: 91 start-page: 184501 year: 2003 ident: BFnature05464_CR7 publication-title: Phys. Rev. Lett. doi: 10.1103/PhysRevLett.91.184501 – volume: 99 start-page: 12589 year: 2002 ident: BFnature05464_CR29 publication-title: Proc. Natl Acad. Sci. USA doi: 10.1073/pnas.192393499 – volume: 20 start-page: 193 year: 1977 ident: BFnature05464_CR12 publication-title: Biophys. J. doi: 10.1016/S0006-3495(77)85544-6 – reference: 17251964 - Nature. 2007 Jan 25;445(7126):371-2 |
| SSID | ssj0005174 ssj0014407 |
| Score | 2.473495 |
| Snippet | Information trail
Chemotactic bacteria are guided towards the source of a nutrient by local concentration gradients. That works on the microscopic scale, but... Chemotactic bacteria rely on local concentration gradients to guide them towards the source of a nutrient. Such local cues pointing towards the location of the... |
| SourceID | hal proquest gale pubmed pascalfrancis crossref springer |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 406 |
| SubjectTerms | Algorithms Animals Bacteria Bacteriology Biochemistry Biological and medical sciences Biomimetics - methods Chemotaxis - physiology Computer Simulation Engineering Sciences Entropy Experimental data Fluid mechanics Fluids mechanics Fundamental and applied biological sciences. Psychology General aspects Humanities and Social Sciences letter Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Mechanics Microbiology Models, Biological Moths - physiology Motility, taxis multidisciplinary Nutrient concentrations Odorants - analysis Odors Pheromones - analysis Physics Robotics - methods Robots Science Science (multidisciplinary) Search engines Smell Smell - physiology Wind |
| Title | ‘Infotaxis’ as a strategy for searching without gradients |
| URI | https://link.springer.com/article/10.1038/nature05464 https://www.ncbi.nlm.nih.gov/pubmed/17251974 https://www.proquest.com/docview/204536999 https://www.proquest.com/docview/19513784 https://www.proquest.com/docview/21194323 https://www.proquest.com/docview/36488218 https://www.proquest.com/docview/68942293 https://hal.science/hal-00326807 |
| Volume | 445 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 1476-4687 dateEnd: 20151119 omitProxy: true ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: ABDBF dateStart: 19970605 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 1476-4687 dateEnd: 20151130 omitProxy: true ssIdentifier: ssj0014407 issn: 0028-0836 databaseCode: ABDBF dateStart: 19990501 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVEBS databaseName: Food Science Source customDbUrl: eissn: 1476-4687 dateEnd: 20151119 omitProxy: false ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: A8Z dateStart: 19970605 isFulltext: true titleUrlDefault: https://search.ebscohost.com/login.aspx?authtype=ip,uid&profile=ehost&defaultdb=fsr providerName: EBSCOhost – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1476-4687 dateEnd: 20171231 omitProxy: true ssIdentifier: ssj0014407 issn: 0028-0836 databaseCode: 7X7 dateStart: 19990501 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1476-4687 dateEnd: 20241103 omitProxy: true ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: 7X7 dateStart: 19880107 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 1476-4687 dateEnd: 20241103 omitProxy: true ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: BENPR dateStart: 19880107 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 1476-4687 dateEnd: 20171231 omitProxy: true ssIdentifier: ssj0014407 issn: 0028-0836 databaseCode: BENPR dateStart: 19990501 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Technology Collection customDbUrl: eissn: 1476-4687 dateEnd: 20241103 omitProxy: true ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: 8FG dateStart: 19900104 isFulltext: true titleUrlDefault: https://search.proquest.com/technologycollection1 providerName: ProQuest – providerCode: PRVPQU databaseName: Public Health Database customDbUrl: eissn: 1476-4687 dateEnd: 20241103 omitProxy: true ssIdentifier: ssj0005174 issn: 0028-0836 databaseCode: 8C1 dateStart: 19880107 isFulltext: true titleUrlDefault: https://search.proquest.com/publichealth providerName: ProQuest |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1db9MwFLXWTkhICLHxFQolmgYFpGhJnDrOA0KlWimIVWhsom-R7SRlEkq7OkXw77k3cdoFWl7yEB8l8df1ie_1uYQcMyldqtzIEbDeOIEQniOTSDnIBSTLAhGWJ7zPJmx8GXya9qd75Kw-C4NhlbVNLA11Mle4R36CsumUAZ15t7h2MGkUOlfrDBrCZFZI3pYKYy2y76MwVpvsvz-dfDnfxHz8JctsDuy5lJ9UOppAYFjQWKKMoW59xzjJOwuhoemyKufFNlL6j0O1XKdG98hdQzDtQTUiDshemh-SW2Wgp9KH5MBMZm2_MorTr--TqIfOp0L8utI9W2hb2LoSrf1tA6e1jbshn9m4aztfFfZsWUaKFfoBuRydXgzHjsmp4CjG_cIRgYQfOi-TaRJJnvqKZlnEE4-miSeFcqWnmAAW5nPp9UUauiJTUZpwIZBdJS59SNr5PE8fE5tHbhLylCm4GwDvkKGSyD-yUPKM9_sWeVM3Y6yM4DjmvfgRl45vyuMbbW6R4zV4Uels7IBhf8SoXJFjaMxMrLSOBxffhpN4ANwD_jYphVcfbYN9_HreAPUMCFp4KZQwBxKgdqiJ1UB2Gki1uLqOb5S-bJTOqt7b9pgjGEXr6qGw93jwOcZ7YFt9xt3wp2eRbmOQbVqD4wSgAOjUoy429kbH69lhkefrUjAU6P0ReTpf6dgDLk1DHuxGoNhfQH26G0EZ2HsghbsRjEeBDxTSIo-qCbH5_rA8JA3vf1HPkM33b-nqJ_-tZ4fcrnbZPcfvPyXtYrlKnwE9LGSXtMJpCFc-9PA6-tA1ZuAPUExlKw |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1db9MwFLW2IQQSQmx8lcJmTRsFpGhJnCbOA0LVYGpZ1wfoRN-M7ThlEkq7OgX2o_iPXCdOu0DL217joyT-uNfHvtfHCB2EQrhEurHDYb5xAs49RySxdAwXEGEa8Kg44X02CLvnwcdRe7SBfldnYUxaZeUTC0edTKTZIz8ysukkBDrzbnrpmEujTHC1ukGjHBWn6uonrNj029576N5D3z_5MDzuOvZSAUeG1M8dHghY0XipUEksqPIlSdOYJh5RiSe4dIUnQw40xKfCa3MVuTyVsUoo54ZeJC6B926iWwEBVwLmE42iZUbJX6LP9jigS-hRqdIJ9CgMahOgnQY2v5kszHtTrqFj0vJGjVWU959wbTELnjxA9y19xZ1yvG2jDZXtoNtFGqnUO2jbugqNX1k969cPUdwyoa2c_7rQLcw15liXkrhXGBgztsGMbIzNnvBknuPxrMhDy_UjdH4jjfsYbWWTTD1FmMZuElEVSngaAKsRkRSG3aSRoClttxvoTdWMTFo5c3OrxndWhNUJZdfavIEOFuBpqeKxBmb6gxldjMwk3oz5XGvWGX45HrAOMBtYyxICn95fBet9_lQDtSwIWnjGJbfHHaB2RnGrhmzWkHJ6ccmulb6slY7L3lv1mn0YRYvqGdnwbqfPzDPw3H5I3eiH10C7tUG2bA1qzIsAoFmNOma9mWYL22ugvUUpuCETW-KZmsw184Cpk4gG6xFGSjAgPlmPICHMJkA51yNCGgc-ENQGelIaxPL_o-IINnz_sLKQ5f-v6Opn_63nHrrTHZ71Wb83OG2iu-V-vuf47edoK5_N1QsgornYLcwfo6837W_-ALxAmw4 |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1db9MwFLW2IRASQmx8lcJmTRsdSFGTOHWcB4SqjWplo0Kwib4Z20nKJJR2dQrsp_HvuE6cdoGWt73GR0lsX18f-14fI7RHpXSJciNHwHzjBEJ4jowj5RguIGkaiLA44f1hQI_Pg_fDznAN_a7Owpi0ysonFo46HiuzR942sumEAp1ppzYr4uNR7-3k0jEXSJlAa3WbRmkhJ8nVT1i96Tf9I-jqfd_vvTs7PHbsBQOOoszPHRFIWN14qUziSLLEVyRNIxZ7JIk9KZQrPUUFUBKfSa8jktAVqYqSmAlhqEbsEnjvOroVEhKZbMJwGC6yS_4SgLZHA13C2qViJ1AlGtQmQzslrH8zGZn3JkJDJ6Xl7RrL6O8_odtiRuw9QPctlcXd0vY20VqSbaHbRUqp0lto07oNjQ-stvWrhyhqmTBXLn5d6BYWGgusS3ncKwzsGdvARjbCZn94PMvxaFrkpOX6ETq_kcZ9jDaycZY8RZhFbhyyhCp4GgDDkaGShumkoWQp63Qa6HXVjFxZaXNzw8Z3XoTYCePX2ryB9ubgSanosQJm-oMbjYzMmNtIzLTm3bMvhwPeBZYD61pC4NO7y2D9z59qoJYFQQtPhRL26APUzqhv1ZDNGlJNLi75tdKXtdJR2XvLXrMLVjSvnpEQP-6ecvMMvLhPmRv-8Bpou2Zki9ZgZqgRADQrq-PWs2k-H4cNtDMvBZdk4kwiS8YzzT1g7SRkwWqEkRUMiE9WIwiFmQXo52oEZVHgA1ltoCflgFj8f1gcx4bv71cjZPH_S7r62X_ruYPugKfhp_3BSRPdLbf2PcfvPEcb-XSWvABOmsvtYvRj9PWm3c0fUIKfUQ |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%27Infotaxis%27+as+a+strategy+for+searching+without+gradients&rft.jtitle=Nature+%28London%29&rft.au=Vergassola%2C+Massimo&rft.au=Villermaux%2C+Emmanuel&rft.au=Shraiman%2C+Boris+I&rft.date=2007-01-25&rft.eissn=1476-4687&rft.volume=445&rft.issue=7126&rft.spage=406&rft_id=info:doi/10.1038%2Fnature05464&rft_id=info%3Apmid%2F17251974&rft.externalDocID=17251974 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0028-0836&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0028-0836&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0028-0836&client=summon |