Prediction of a Go/No-go decision from single-trial activities of multiple neurons in monkey superior colliculus

Ryohei P. Hasegawa, Yukako T. Hasegawa, Mark A. Segraves

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

2 Scopus citations

Abstract

The purpose of this study was to develop an algorithm capable of transforming neural activity to correctly report behavioral outcome during a cognitive task. We recorded from small groups of 2-5 neurons in the superior colliculus (SC) while monkeys performed a go/no-go task. Depending upon the color of a peripheral stimulus, the monkey was required to either make a saccade to the stimulus (go) or maintain fixation (no-go). In order to replicate the progress of the decision-making process and generate a virtual decision function (VDF), we performed a multiple regression analysis, with 1 msec resolution, on neuron activity during individual trials. Post hoc analyses by VDF predicted the monkey's choice with nearly 90% accuracy. These results suggest that monitoring of a limited number of SC neurons has sufficient capacity to predict go/no-go decisions on a trial-by-trial basis, and serves as an ideal candidate for a cognitive brain-machine interface (BMI).

Original languageEnglish (US)
Title of host publicationNeural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers
Pages997-1006
Number of pages10
EditionPART 2
DOIs
StatePublished - Oct 23 2008
Event14th International Conference on Neural Information Processing, ICONIP 2007 - Kitakyushu, Japan
Duration: Nov 13 2007Nov 16 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume4985 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Neural Information Processing, ICONIP 2007
CountryJapan
CityKitakyushu
Period11/13/0711/16/07

Keywords

  • Brain-machine interface
  • Decision-making
  • Go/no-go
  • Prediction
  • Saccade
  • Superior colliculus

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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