Neural prediction of multidimensional decisions in monkey superior colliculus

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

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

To examine the function of the superior colliculus (SC) in decision-making processes and the application of its single trial activity for "neural mind reading," we recorded from SC deep layers while two monkeys performed oculomotor go/no-go tasks. We have recently focused on monitoring single trial activities in single SC neurons, and designed a virtual decision function (VDF) to provide a good estimation of singledimensional decisions (go/no-go decisions for a cue presented at a specific visual field, a response field of each neuron). In this study, we used two VDFs for multidimensional decisions (go/no-go decisions at two cue locations) with the ensemble activity which was simultaneously recorded from a small group (4 to 6) of neurons at both sides of the SC. VDFs predicted cue locations as well as go/no-go decisions. These results suggest that monitoring of ensemble SC activity had sufficient capacity to predict multidimensional decisions on a trial-by-trial basis, which is an ideal candidate to serve for cognitive brain-machine interfaces (BMI) such as twodimensional word spellers.

Original languageEnglish (US)
Pages (from-to)2118-2124
Number of pages7
JournalIEICE Transactions on Communications
VolumeE91-B
Issue number7
DOIs
StatePublished - Jan 1 2008

Keywords

  • Brain-machine interface
  • Decision-making
  • Go/nogo
  • Prediction

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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