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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Bibliographic Details
Published in2009 4th International IEEE/EMBS Conference on Neural Engineering pp. 415 - 418
Main Authors Alvarado, A.S., Principe, J.C., Harris, J.G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2009
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ISBN1424420725
9781424420728
ISSN1948-3546
DOI10.1109/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.
ISBN:1424420725
9781424420728
ISSN:1948-3546
DOI:10.1109/NER.2009.5109321