Neural computations that underlie decisions about sensory stimuli. Export

@article{citeulike:86939, abstract = {Decision-making behavior has been studied extensively, but the neurophysiological mechanisms responsible for this remarkable cognitive ability are just beginning to be understood. Here we propose neural computations that can account for the formation of categorical decisions about sensory stimuli by accumulating information over time into a single quantity: the logarithm of the likelihood ratio favoring one alternative over another. We also review electrophysio-logical studies that have identified brain structures that may be involved in computing this sort of decision variable. The ideas presented constitute a framework for understanding how and where perceptual decisions are formed in the brain.}, address = {Department of Physiology and Biophysics, HHMI and Regional Primate Research Center, University of Washington Medical School, Box 357290, 98195-7290, Seattle, WA, USA}, author = {Gold, J I. and Shadlen, M N.}, citeulike-article-id = {86939}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/11164731}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=11164731}, day = {1}, issn = {1364-6613}, journal = {Trends Cogn Sci}, keywords = {bayesian, coding, likelihood, model, review}, month = {January}, number = {1}, pages = {10--16}, posted-at = {2008-10-20 16:18:26}, priority = {0}, title = {Neural computations that underlie decisions about sensory stimuli.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/11164731}, volume = {5}, year = {2001} }

TY - JOUR ID - citeulike:86939 L3 - citeulike-article-id:86939 N2 - Decision-making behavior has been studied extensively, but the neurophysiological mechanisms responsible for this remarkable cognitive ability are just beginning to be understood. Here we propose neural computations that can account for the formation of categorical decisions about sensory stimuli by accumulating information over time into a single quantity: the logarithm of the likelihood ratio favoring one alternative over another. We also review electrophysio-logical studies that have identified brain structures that may be involved in computing this sort of decision variable. The ideas presented constitute a framework for understanding how and where perceptual decisions are formed in the brain. IS - 1 JF - Trends Cogn Sci SN - 1364-6613 AD - Department of Physiology and Biophysics, HHMI and Regional Primate Research Center, University of Washington Medical School, Box 357290, 98195-7290, Seattle, WA, USA EP - 16 TI - Neural computations that underlie decisions about sensory stimuli. VL - 5 SP - 10 KW - bayesian KW - coding KW - likelihood KW - model KW - review AU - Gold, J AU - Shadlen, M PY - 2001/01/01/ UR - http://view.ncbi.nlm.nih.gov/pubmed/11164731 ER -