High Performance Decoding of Behavioral Information from Background Activity in Extracellular Neural Recordings Davranişla İlgili Bilgilerin Hücre Dişi Sinirsel Kayitlarda Arka Plan Etkinliǧinden Yüksek Başarimli Çikarimi

Okatan M., KOCATÜRK M.

2018 Medical Technologies National Congress, TIPTEKNO 2018, Magusa, Kıbrıs (Gkry), 8 - 10 Kasım 2018 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/tiptekno.2018.8597114
  • Basıldığı Şehir: Magusa
  • Basıldığı Ülke: Kıbrıs (Gkry)
  • Anahtar Kelimeler: brain-computer interface, scale estimation, spike train decoding, truncation thresholds
  • İstanbul Medipol Üniversitesi Adresli: Evet

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.