Neural Prediction of Multidimensional Decisions in Monkey Superior Colliculus

Ryohei P. HASEGAWA; Yukako T. HASEGAWA; Mark A. SEGRAVES

doi:10.1093/ietcom/e91-b.7.2118

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Neural Prediction of Multidimensional Decisions in Monkey Superior Colliculus

Ryohei P. HASEGAWA, Yukako T. HASEGAWA, Mark A. SEGRAVES

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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 single-dimensional 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 two-dimensional word spellers.

Publication: IEICE TRANSACTIONS on Communications Vol.E91-B No.7 pp.2118-2124

Publication Date: 2008/07/01

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Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e91-b.7.2118

Type of Manuscript: Special Section INVITED PAPER (Special Section on Brain Communication)

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Ryohei P. HASEGAWA, Yukako T. HASEGAWA, Mark A. SEGRAVES, "Neural Prediction of Multidimensional Decisions in Monkey Superior Colliculus" in IEICE TRANSACTIONS on Communications, vol. E91-B, no. 7, pp. 2118-2124, July 2008, doi: 10.1093/ietcom/e91-b.7.2118.
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 single-dimensional 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 two-dimensional word spellers.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.7.2118/_p

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@ARTICLE{e91-b_7_2118,
author={Ryohei P. HASEGAWA, Yukako T. HASEGAWA, Mark A. SEGRAVES, },
journal={IEICE TRANSACTIONS on Communications},
title={Neural Prediction of Multidimensional Decisions in Monkey Superior Colliculus},
year={2008},
volume={E91-B},
number={7},
pages={2118-2124},
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 single-dimensional 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 two-dimensional word spellers.},
keywords={},
doi={10.1093/ietcom/e91-b.7.2118},
ISSN={1745-1345},
month={July},}

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TY - JOUR
TI - Neural Prediction of Multidimensional Decisions in Monkey Superior Colliculus
T2 - IEICE TRANSACTIONS on Communications
SP - 2118
EP - 2124
AU - Ryohei P. HASEGAWA
AU - Yukako T. HASEGAWA
AU - Mark A. SEGRAVES
PY - 2008
DO - 10.1093/ietcom/e91-b.7.2118
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2008
AB - 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 single-dimensional 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 two-dimensional word spellers.
ER -