Stimulus reconstruction from the biphasic integrate-and-fire sampler
An algorithm to recover the encoded stimulus from a biphasic integrate-and-fire model has been proposed using the sampling framework for local averages. The algorithm converges for sparse sampling sets, common in extracellular neural recordings. Moreover, the spike region can be recovered with up to...
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Published in | 2009 4th International IEEE/EMBS Conference on Neural Engineering pp. 415 - 418 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.04.2009
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Subjects | |
Online Access | Get full text |
ISBN | 1424420725 9781424420728 |
ISSN | 1948-3546 |
DOI | 10.1109/NER.2009.5109321 |
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Summary: | An algorithm to recover the encoded stimulus from a biphasic integrate-and-fire model has been proposed using the sampling framework for local averages. The algorithm converges for sparse sampling sets, common in extracellular neural recordings. Moreover, the spike region can be recovered with up to 50 dB accuracy even though the instantaneous and overall pulse rates are below the Nyquist bound. |
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ISBN: | 1424420725 9781424420728 |
ISSN: | 1948-3546 |
DOI: | 10.1109/NER.2009.5109321 |