Cargando…

Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays

Simultaneous electrical stimulation and recording using multi-electrode arrays can provide a valuable technique for studying circuit connectivity and engineering neural interfaces. However, interpreting these measurements is challenging because the spike sorting process (identifying and segregating...

Descripción completa

Detalles Bibliográficos
Autores principales: Mena, Gonzalo E., Grosberg, Lauren E., Madugula, Sasidhar, Hottowy, Paweł, Litke, Alan, Cunningham, John, Chichilnisky, E. J., Paninski, Liam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703587/
https://www.ncbi.nlm.nih.gov/pubmed/29131818
http://dx.doi.org/10.1371/journal.pcbi.1005842
_version_ 1783281711826599936
author Mena, Gonzalo E.
Grosberg, Lauren E.
Madugula, Sasidhar
Hottowy, Paweł
Litke, Alan
Cunningham, John
Chichilnisky, E. J.
Paninski, Liam
author_facet Mena, Gonzalo E.
Grosberg, Lauren E.
Madugula, Sasidhar
Hottowy, Paweł
Litke, Alan
Cunningham, John
Chichilnisky, E. J.
Paninski, Liam
author_sort Mena, Gonzalo E.
collection PubMed
description Simultaneous electrical stimulation and recording using multi-electrode arrays can provide a valuable technique for studying circuit connectivity and engineering neural interfaces. However, interpreting these measurements is challenging because the spike sorting process (identifying and segregating action potentials arising from different neurons) is greatly complicated by electrical stimulation artifacts across the array, which can exhibit complex and nonlinear waveforms, and overlap temporarily with evoked spikes. Here we develop a scalable algorithm based on a structured Gaussian Process model to estimate the artifact and identify evoked spikes. The effectiveness of our methods is demonstrated in both real and simulated 512-electrode recordings in the peripheral primate retina with single-electrode and several types of multi-electrode stimulation. We establish small error rates in the identification of evoked spikes, with a computational complexity that is compatible with real-time data analysis. This technology may be helpful in the design of future high-resolution sensory prostheses based on tailored stimulation (e.g., retinal prostheses), and for closed-loop neural stimulation at a much larger scale than currently possible.
format Online
Article
Text
id pubmed-5703587
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-57035872017-12-08 Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays Mena, Gonzalo E. Grosberg, Lauren E. Madugula, Sasidhar Hottowy, Paweł Litke, Alan Cunningham, John Chichilnisky, E. J. Paninski, Liam PLoS Comput Biol Research Article Simultaneous electrical stimulation and recording using multi-electrode arrays can provide a valuable technique for studying circuit connectivity and engineering neural interfaces. However, interpreting these measurements is challenging because the spike sorting process (identifying and segregating action potentials arising from different neurons) is greatly complicated by electrical stimulation artifacts across the array, which can exhibit complex and nonlinear waveforms, and overlap temporarily with evoked spikes. Here we develop a scalable algorithm based on a structured Gaussian Process model to estimate the artifact and identify evoked spikes. The effectiveness of our methods is demonstrated in both real and simulated 512-electrode recordings in the peripheral primate retina with single-electrode and several types of multi-electrode stimulation. We establish small error rates in the identification of evoked spikes, with a computational complexity that is compatible with real-time data analysis. This technology may be helpful in the design of future high-resolution sensory prostheses based on tailored stimulation (e.g., retinal prostheses), and for closed-loop neural stimulation at a much larger scale than currently possible. Public Library of Science 2017-11-13 /pmc/articles/PMC5703587/ /pubmed/29131818 http://dx.doi.org/10.1371/journal.pcbi.1005842 Text en © 2017 Mena et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mena, Gonzalo E.
Grosberg, Lauren E.
Madugula, Sasidhar
Hottowy, Paweł
Litke, Alan
Cunningham, John
Chichilnisky, E. J.
Paninski, Liam
Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays
title Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays
title_full Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays
title_fullStr Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays
title_full_unstemmed Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays
title_short Electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays
title_sort electrical stimulus artifact cancellation and neural spike detection on large multi-electrode arrays
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5703587/
https://www.ncbi.nlm.nih.gov/pubmed/29131818
http://dx.doi.org/10.1371/journal.pcbi.1005842
work_keys_str_mv AT menagonzaloe electricalstimulusartifactcancellationandneuralspikedetectiononlargemultielectrodearrays
AT grosberglaurene electricalstimulusartifactcancellationandneuralspikedetectiononlargemultielectrodearrays
AT madugulasasidhar electricalstimulusartifactcancellationandneuralspikedetectiononlargemultielectrodearrays
AT hottowypaweł electricalstimulusartifactcancellationandneuralspikedetectiononlargemultielectrodearrays
AT litkealan electricalstimulusartifactcancellationandneuralspikedetectiononlargemultielectrodearrays
AT cunninghamjohn electricalstimulusartifactcancellationandneuralspikedetectiononlargemultielectrodearrays
AT chichilniskyej electricalstimulusartifactcancellationandneuralspikedetectiononlargemultielectrodearrays
AT paninskiliam electricalstimulusartifactcancellationandneuralspikedetectiononlargemultielectrodearrays