Davranişla İlgili Bilgilerin Hücre Dişi Sinirsel Kayitlarda Arka Plan Etkinliǧinden Yüksek Başarimli Çikarimi

Translated title of the contribution: High Performance Decoding of Behavioral Information from Background Activity in Extracellular Neural Recordings

Murat Okatan, Mehmet Kocatürk

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The usual approach to extracting information from extracellular neural recordings is to set an amplitude threshold and extract the information contained in suprathreshold data. Subthreshold data, on the other hand, contain superimposed low-amplitude spike waveforms from distant neurons and are usually considered background noise. Here we show that the estimated standard deviation of this background activity strongly covaries with behavior and can be used to decode behavioral information with very high accuracy. Our method for extracting behavioral information from subthreshold data can be used with traditional methods in brain-machine interfaces to further improve decoding accuracy.

Translated title of the contributionHigh Performance Decoding of Behavioral Information from Background Activity in Extracellular Neural Recordings
Original languageTurkish
Title of host publication2018 Medical Technologies National Congress, TIPTEKNO 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538668528
DOIs
Publication statusPublished - 31 Dec 2018
Externally publishedYes
Event2018 Medical Technologies National Congress, TIPTEKNO 2018 - Magusa, Cyprus
Duration: 8 Nov 201810 Nov 2018

Publication series

Name2018 Medical Technologies National Congress, TIPTEKNO 2018

Conference

Conference2018 Medical Technologies National Congress, TIPTEKNO 2018
Country/TerritoryCyprus
CityMagusa
Period8/11/1810/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

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