A probabilistic, distributed, recursive mechanism for decision-making in the brain

Decision formation recruits many brain regions, but the procedure they jointly execute is unknown. Here we characterize its essential composition, using as a framework a novel recursive Bayesian algorithm that makes decisions based on spike-trains with the statistics of those in sensory cortex (MT)....

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Veröffentlicht in:	PLoS computational biology Jg. 14; H. 4; S. e1006033
Hauptverfasser:	Caballero, Javier A., Humphries, Mark D., Gurney, Kevin N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 01.04.2018 Public Library of Science (PLoS)
Schlagworte:	Algorithms Animals Basal ganglia Bayes Theorem Bayesian analysis Biology and Life Sciences Brain Brain - anatomy & histology Brain - physiology Brain Mapping Brain research Computational Biology Computer Simulation Corpus Striatum - physiology Cortex (somatosensory) Decision making Decision Making - physiology Decisions Economic forecasting Electrophysiological Phenomena Electrophysiology Funding Ganglia Haplorhini - anatomy & histology Haplorhini - physiology Haplorhini - psychology Mathematical models Medicine and Health Sciences Models, Neurological Models, Psychological Models, Statistical Monkeys Monkeys & apes Neostriatum Neural circuitry Physiological aspects Probabilistic inference Reaction Time - physiology Sensorimotor Cortex - physiology Social Sciences Somatosensory cortex Statistical analysis Thalamus United Kingdom > UK
ISSN:	1553-7358, 1553-734X, 1553-7358
Online-Zugang:	Volltext
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