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 language | English (US) |
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Pages (from-to) | 2118-2124 |
Number of pages | 7 |
Journal | IEICE Transactions on Communications |
Volume | E91-B |
Issue number | 7 |
DOIs | |
State | Published - 2008 |
Keywords
- Brain-machine interface
- Decision-making
- Go/nogo
- Prediction
ASJC Scopus subject areas
- Software
- Computer Networks and Communications
- Electrical and Electronic Engineering