Computational and cognitive neuroscience of vision

1 Neural Mechanisms of Saliency, Attention, and Orienting; Abstract; 1 Overview; 2 The Visual Orienting Network; 2.1 Superior Colliculus; 2.2 Occipital Cortex; 2.3 Fronto-Parietal Cortices; 2.4 Basal Ganglia; 2.5 Brainstem; 3 Neural Representations of Visual Saliency; 4 Neural Representations of Beh...

Full description

Saved in:
Bibliographic Details
Other Authors: Zhao, Qi.
Format: eBook
Language: English
Published: Singapore : Springer, 2016.
Series: Cognitive science and technology.
Subjects:
Computer vision.
Cognitive neuroscience.
Computational neuroscience.
elektronické knihy
electronic books
ISBN: 9789811002137
9789811002113
Physical Description: 1 online resource (vii, 315 pages)

Cover

Table of contents

LEADER 05395cam a2200505Mi 4500
001 99427
003 CZ-ZlUTB
005 20240914111903.0
006 m o d
007 cr cnu---unuuu
008 161008s2016 si ob 000 0 eng d
040 |a EBLCP  |b eng  |e pn  |c EBLCP  |d N$T  |d YDX  |d OCLCO  |d N$T  |d IDEBK  |d GW5XE  |d OCLCF  |d OCLCQ  |d UAB  |d MERER  |d OCLCQ  |d ESU  |d UKAHL  |d OCLCQ  |d VLB 
020 |a 9789811002137  |q (electronic bk.) 
020 |z 9789811002113 
035 |a (OCoLC)960166168  |z (OCoLC)959980203  |z (OCoLC)960090620  |z (OCoLC)960279044 
245 0 0 |a Computational and cognitive neuroscience of vision /  |c Qi Zhao, editor. 
264 1 |a Singapore :  |b Springer,  |c 2016. 
264 4 |c ©2017 
300 |a 1 online resource (vii, 315 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Cognitive Science and Technology 
504 |a Includes bibliographical references. 
505 0 |a Summary; 1 Neural Mechanisms of Saliency, Attention, and Orienting; Abstract; 1 Overview; 2 The Visual Orienting Network; 2.1 Superior Colliculus; 2.2 Occipital Cortex; 2.3 Fronto-Parietal Cortices; 2.4 Basal Ganglia; 2.5 Brainstem; 3 Neural Representations of Visual Saliency; 4 Neural Representations of Behavioral Priority; 4.1 Spatial Attention; 4.2 Target Selection; 5 Conclusion; References; 2 Insights on Vision Derived from Studying Human Single Neurons; 1 Latency; 2 Visual Selectivity of Neurons in the Human MTL; 3 Invariance; 4 Grandmother Cells; 5 Topography of Tuning. 
505 8 |a 6 Internally Generated Responses and Consciousness7 Memory; 8 Closing Remarks; References; 3 Recognition of Occluded Objects; 1 Visual System Hierarchy; 2 The Computational Problem of Object Completion; 2.1 Amodal Completion; 2.2 From Amodal Completion to Recognition of Occluded Objects; 3 Neural Representation of Occluded Objects; 4 Computational Models of Occluded Object Recognition; 4.1 Performance of Feed-Forward Models in Recognizing Occluded Objects; 4.2 Beyond Feed-Forward Models; References; Towards a Theory of Computation in the Visual Cortex. 
505 8 |a 1 Cortical Filter Models of Form Processing1.1 The Linear-Nonlinear (LN) Model; 1.2 Divisive Normalization; 1.3 LN Cascade; 2 Cortical Filter Models Across Visual Cues; 2.1 Color Processing; 2.2 Binocular Disparity Processing; 2.3 Motion Processing; 3 Completing the Hierarchy: Models of the Visual Cortex; 3.1 Hubel and Wiesel Model; 3.2 Hierarchical Models: Formalism; 3.3 Models of Object Recognition; 3.4 Models Across Visual Cues; 4 Discussion and Concluding Remarks; 4.1 Why Hierarchies?; 4.2 Limitations; References; Invariant Recognition Predicts Tuning of Neurons in Sensory Cortex. 
505 8 |a 1 Appendix1.1 Retinal Processing; 1.2 Additional Evidence for Gabor Shapes as Templates in V1; 1.3 Hebbian Rule and Gabor-Like Functions; 1.4 Motion Determines a Consistent Orientation of the Gabor-Like Eigenfunctions; 1.5 Phase of Gabor RFs; References; Speed Versus Accuracy in Visual Search: Optimal Performance and Neural Implementations; 1 The Phenomenology of Visual Search; 2 Ideal Observers; 2.1 Sensory Input; 2.2 Optimality; 3 The Sequential Probability Ratio Test; 3.1 Notations; 3.2 S(Xt) for Homogeneous Discrimination; 3.3 S(Xt) for Homogeneous Search. 
505 8 |a 3.4 S(Xt) for Heterogeneous Search4 Model Prediction and Human Psychophysics; 4.1 Qualitative Fits; 4.2 Quantitative Fits; 5 Optimality Analysis; 5.1 Solving for the Ideal Observer; 5.2 Dynamic Programming; 5.3 Comparison with SPRT; 6 Spiking Network Implementation; 7 Chapter Summary; References; 7 The Pupil as Marker of Cognitive Processes; 1 The Pupil Is a Readily Accessible Marker of Neural Processes; 2 Modulation of the Pupil's Response to Light by Cognitive Factors; 2.1 Awareness and Imaginary Light Sources Modulate the Pupil Light Reflex. 
500 |a 2.2 The Pupil Light Response Can Mark the Focus of Attention. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 1 Neural Mechanisms of Saliency, Attention, and Orienting; Abstract; 1 Overview; 2 The Visual Orienting Network; 2.1 Superior Colliculus; 2.2 Occipital Cortex; 2.3 Fronto-Parietal Cortices; 2.4 Basal Ganglia; 2.5 Brainstem; 3 Neural Representations of Visual Saliency; 4 Neural Representations of Behavioral Priority; 4.1 Spatial Attention; 4.2 Target Selection; 5 Conclusion; References; 2 Insights on Vision Derived from Studying Human Single Neurons; 1 Latency; 2 Visual Selectivity of Neurons in the Human MTL; 3 Invariance; 4 Grandmother Cells; 5 Topography of Tuning. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Computer vision. 
650 0 |a Cognitive neuroscience. 
650 0 |a Computational neuroscience. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Zhao, Qi. 
776 0 8 |i Print version:  |a Zhao, Qi.  |t Computational and Cognitive Neuroscience of Vision.  |d Singapore : Springer Singapore, ©2016  |z 9789811002113 
830 0 |a Cognitive science and technology. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-981-10-0213-7  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99427  |d 99427 
993 |x NEPOSILAT  |y EIZ 

Similar Items