Can monkeys choose optimally when faced with noisy stimuli and unequal rewards?

We review the leaky competing accumulator model for two-alternative forced-choice decisions with cued responses, and propose extensions to account for the influence of unequal rewards. Assuming that stimulus information is integrated until the cue to respond arrives and that firing rates of stimulus...

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Autores principales:	Samuel Feng, Philip Holmes, Alan Rorie, William T Newsome
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2009
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/262534faff4b4a73a2e0e235aa2ccdc3
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spelling	oai:doaj.org-article:262534faff4b4a73a2e0e235aa2ccdc32021-11-25T05:41:51ZCan monkeys choose optimally when faced with noisy stimuli and unequal rewards?1553-734X1553-735810.1371/journal.pcbi.1000284https://doaj.org/article/262534faff4b4a73a2e0e235aa2ccdc32009-02-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19214201/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358We review the leaky competing accumulator model for two-alternative forced-choice decisions with cued responses, and propose extensions to account for the influence of unequal rewards. Assuming that stimulus information is integrated until the cue to respond arrives and that firing rates of stimulus-selective neurons remain well within physiological bounds, the model reduces to an Ornstein-Uhlenbeck (OU) process that yields explicit expressions for the psychometric function that describes accuracy. From these we compute strategies that optimize the rewards expected over blocks of trials administered with mixed difficulty and reward contingencies. The psychometric function is characterized by two parameters: its midpoint slope, which quantifies a subject's ability to extract signal from noise, and its shift, which measures the bias applied to account for unequal rewards. We fit these to data from two monkeys performing the moving dots task with mixed coherences and reward schedules. We find that their behaviors averaged over multiple sessions are close to optimal, with shifts erring in the direction of smaller penalties. We propose two methods for biasing the OU process to produce such shifts.Samuel FengPhilip HolmesAlan RorieWilliam T NewsomePublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 5, Iss 2, p e1000284 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Samuel Feng Philip Holmes Alan Rorie William T Newsome Can monkeys choose optimally when faced with noisy stimuli and unequal rewards?
description	We review the leaky competing accumulator model for two-alternative forced-choice decisions with cued responses, and propose extensions to account for the influence of unequal rewards. Assuming that stimulus information is integrated until the cue to respond arrives and that firing rates of stimulus-selective neurons remain well within physiological bounds, the model reduces to an Ornstein-Uhlenbeck (OU) process that yields explicit expressions for the psychometric function that describes accuracy. From these we compute strategies that optimize the rewards expected over blocks of trials administered with mixed difficulty and reward contingencies. The psychometric function is characterized by two parameters: its midpoint slope, which quantifies a subject's ability to extract signal from noise, and its shift, which measures the bias applied to account for unequal rewards. We fit these to data from two monkeys performing the moving dots task with mixed coherences and reward schedules. We find that their behaviors averaged over multiple sessions are close to optimal, with shifts erring in the direction of smaller penalties. We propose two methods for biasing the OU process to produce such shifts.
format	article
author	Samuel Feng Philip Holmes Alan Rorie William T Newsome
author_facet	Samuel Feng Philip Holmes Alan Rorie William T Newsome
author_sort	Samuel Feng
title	Can monkeys choose optimally when faced with noisy stimuli and unequal rewards?
title_short	Can monkeys choose optimally when faced with noisy stimuli and unequal rewards?
title_full	Can monkeys choose optimally when faced with noisy stimuli and unequal rewards?
title_fullStr	Can monkeys choose optimally when faced with noisy stimuli and unequal rewards?
title_full_unstemmed	Can monkeys choose optimally when faced with noisy stimuli and unequal rewards?
title_sort	can monkeys choose optimally when faced with noisy stimuli and unequal rewards?
publisher	Public Library of Science (PLoS)
publishDate	2009
url	https://doaj.org/article/262534faff4b4a73a2e0e235aa2ccdc3
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Can monkeys choose optimally when faced with noisy stimuli and unequal rewards?

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