A blind deconvolution method for neural spike identification

Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider the problem of estimating neural spikes from extracellular voltage recordings. Most current methods are based on clustering, which requires substantial human supervision and systematically mishandles temporally overlapping spikes. We formulate the problem as one of statistical inference, in which the recorded voltage is a noisy sum of the spike trains of each neuron convolved with its associated spike waveform. Joint maximum-a-posteriori (MAP) estimation of the waveforms and spikes is then a blind deconvolution problem in which the coefficients are sparse. We develop a block-coordinate descent procedure to approximate the MAP solution, based on our recently developed continuous basis pursuit method. We validate our method on simulated data as well as real data for which ground truth is available via simultaneous intracellular recordings. In both cases, our method substantially reduces the number of missed spikes and false positives when compared to a standard clustering algorithm, primarily by recovering overlapping spikes. The method offers a fully automated alternative to clustering methods that is less susceptible to systematic errors.

Original languageEnglish (US)
Title of host publicationAdvances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011
StatePublished - 2011
Event25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011 - Granada, Spain
Duration: Dec 12 2011Dec 14 2011

Other

Other25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011
CountrySpain
CityGranada
Period12/12/1112/14/11

Fingerprint

Deconvolution
Systematic errors
Electric potential
Clustering algorithms
Neurons

ASJC Scopus subject areas

  • Information Systems

Cite this

Ekanadham, C., Tranchina, D., & Simoncelli, E. P. (2011). A blind deconvolution method for neural spike identification. In Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011

A blind deconvolution method for neural spike identification. / Ekanadham, Chaitanya; Tranchina, Daniel; Simoncelli, Eero P.

Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011. 2011.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ekanadham, C, Tranchina, D & Simoncelli, EP 2011, A blind deconvolution method for neural spike identification. in Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011. 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011, Granada, Spain, 12/12/11.
Ekanadham C, Tranchina D, Simoncelli EP. A blind deconvolution method for neural spike identification. In Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011. 2011
Ekanadham, Chaitanya ; Tranchina, Daniel ; Simoncelli, Eero P. / A blind deconvolution method for neural spike identification. Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011. 2011.
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