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

Murat Okatan; Mehmet Kocatürk

doi:10.1109/TIPTEKNO.2018.8597114

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

Murat Okatan
, Mehmet Kocatürk

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

3 Atıf (Scopus)

Özet

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.

Tercüme edilen katkı başlığı	High Performance Decoding of Behavioral Information from Background Activity in Extracellular Neural Recordings
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2018 Medical Technologies National Congress, TIPTEKNO 2018
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781538668528
DOI'lar	https://doi.org/10.1109/TIPTEKNO.2018.8597114
Yayın durumu	Yayınlandı - 31 Ara 2018
Harici olarak yayınlandı	Evet
Etkinlik	2018 Medical Technologies National Congress, TIPTEKNO 2018 - Magusa, Cyprus Süre: 8 Kas 2018 → 10 Kas 2018

Yayın serisi

Adı	2018 Medical Technologies National Congress, TIPTEKNO 2018

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2018 Medical Technologies National Congress, TIPTEKNO 2018
Ülke/Bölge	Cyprus
Şehir	Magusa
Periyot	8/11/18 → 10/11/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

Keywords

brain-computer interface
scale estimation
spike train decoding
truncation thresholds

Belgeye Erişim

10.1109/TIPTEKNO.2018.8597114

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Okatan, M., & Kocatürk, M. (2018). Davranişla İlgili Bilgilerin Hücre Dişi Sinirsel Kayitlarda Arka Plan Etkinliǧinden Yüksek Başarimli Çikarimi. In 2018 Medical Technologies National Congress, TIPTEKNO 2018 Makale 8597114 (2018 Medical Technologies National Congress, TIPTEKNO 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TIPTEKNO.2018.8597114

@inproceedings{ba06c2b6c81f42fe9e908ea90dc28050,

title = "Davrani{\c s}la İlgili Bilgilerin H{\"u}cre Di{\c s}i Sinirsel Kayitlarda Arka Plan Etkinliǧinden Y{\"u}ksek Ba{\c s}arimli {\c C}ikarimi",

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.",

keywords = "brain-computer interface, scale estimation, spike train decoding, truncation thresholds",

author = "Murat Okatan and Mehmet Kocat{\"u}rk",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 Medical Technologies National Congress, TIPTEKNO 2018 ; Conference date: 08-11-2018 Through 10-11-2018",

year = "2018",

month = dec,

day = "31",

doi = "10.1109/TIPTEKNO.2018.8597114",

language = "T{\"u}rk{\c c}e",

series = "2018 Medical Technologies National Congress, TIPTEKNO 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2018 Medical Technologies National Congress, TIPTEKNO 2018",

address = "United States",

}

Okatan, M & Kocatürk, M 2018, Davranişla İlgili Bilgilerin Hücre Dişi Sinirsel Kayitlarda Arka Plan Etkinliǧinden Yüksek Başarimli Çikarimi. in 2018 Medical Technologies National Congress, TIPTEKNO 2018., 8597114, 2018 Medical Technologies National Congress, TIPTEKNO 2018, Institute of Electrical and Electronics Engineers Inc., 2018 Medical Technologies National Congress, TIPTEKNO 2018, Magusa, Cyprus, 8/11/18. https://doi.org/10.1109/TIPTEKNO.2018.8597114

Davranişla İlgili Bilgilerin Hücre Dişi Sinirsel Kayitlarda Arka Plan Etkinliǧinden Yüksek Başarimli Çikarimi. / Okatan, Murat; Kocatürk, Mehmet.
2018 Medical Technologies National Congress, TIPTEKNO 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8597114 (2018 Medical Technologies National Congress, TIPTEKNO 2018).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Davranişla İlgili Bilgilerin Hücre Dişi Sinirsel Kayitlarda Arka Plan Etkinliǧinden Yüksek Başarimli Çikarimi

AU - Okatan, Murat

AU - Kocatürk, Mehmet

PY - 2018/12/31

Y1 - 2018/12/31

N2 - 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.

AB - 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.

KW - brain-computer interface

KW - scale estimation

KW - spike train decoding

KW - truncation thresholds

UR - https://www.scopus.com/pages/publications/85061712484

U2 - 10.1109/TIPTEKNO.2018.8597114

DO - 10.1109/TIPTEKNO.2018.8597114

M3 - Konferans katkısı

AN - SCOPUS:85061712484

T3 - 2018 Medical Technologies National Congress, TIPTEKNO 2018

BT - 2018 Medical Technologies National Congress, TIPTEKNO 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 Medical Technologies National Congress, TIPTEKNO 2018

Y2 - 8 November 2018 through 10 November 2018

ER -

Okatan M, Kocatürk M. Davranişla İlgili Bilgilerin Hücre Dişi Sinirsel Kayitlarda Arka Plan Etkinliǧinden Yüksek Başarimli Çikarimi. In 2018 Medical Technologies National Congress, TIPTEKNO 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8597114. (2018 Medical Technologies National Congress, TIPTEKNO 2018). doi: 10.1109/TIPTEKNO.2018.8597114

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap