The influence of spatiotemporal structure of noisy stimuli in decision making.

Decision making is a process of utmost importance in our daily lives, the study of which has been receiving notable attention for decades. Nevertheless, the neural mechanisms underlying decision making are still not fully understood. Computational modeling has revealed itself as a valuable asset to...

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Main Authors: Andrea Insabato, Laura Dempere-Marco, Mario Pannunzi, Gustavo Deco, Ranulfo Romo
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-04-01
Series:PLoS Computational Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24743140/pdf/?tool=EBI
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spelling doaj-a8f9cf1d33d6467ca557fe35bdb102fb2021-04-21T15:36:03ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582014-04-01104e100349210.1371/journal.pcbi.1003492The influence of spatiotemporal structure of noisy stimuli in decision making.Andrea InsabatoLaura Dempere-MarcoMario PannunziGustavo DecoRanulfo RomoDecision making is a process of utmost importance in our daily lives, the study of which has been receiving notable attention for decades. Nevertheless, the neural mechanisms underlying decision making are still not fully understood. Computational modeling has revealed itself as a valuable asset to address some of the fundamental questions. Biophysically plausible models, in particular, are useful in bridging the different levels of description that experimental studies provide, from the neural spiking activity recorded at the cellular level to the performance reported at the behavioral level. In this article, we have reviewed some of the recent progress made in the understanding of the neural mechanisms that underlie decision making. We have performed a critical evaluation of the available results and address, from a computational perspective, aspects of both experimentation and modeling that so far have eluded comprehension. To guide the discussion, we have selected a central theme which revolves around the following question: how does the spatiotemporal structure of sensory stimuli affect the perceptual decision-making process? This question is a timely one as several issues that still remain unresolved stem from this central theme. These include: (i) the role of spatiotemporal input fluctuations in perceptual decision making, (ii) how to extend the current results and models derived from two-alternative choice studies to scenarios with multiple competing evidences, and (iii) to establish whether different types of spatiotemporal input fluctuations affect decision-making outcomes in distinctive ways. And although we have restricted our discussion mostly to visual decisions, our main conclusions are arguably generalizable; hence, their possible extension to other sensory modalities is one of the points in our discussion.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24743140/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Andrea Insabato
Laura Dempere-Marco
Mario Pannunzi
Gustavo Deco
Ranulfo Romo
spellingShingle Andrea Insabato
Laura Dempere-Marco
Mario Pannunzi
Gustavo Deco
Ranulfo Romo
The influence of spatiotemporal structure of noisy stimuli in decision making.
PLoS Computational Biology
author_facet Andrea Insabato
Laura Dempere-Marco
Mario Pannunzi
Gustavo Deco
Ranulfo Romo
author_sort Andrea Insabato
title The influence of spatiotemporal structure of noisy stimuli in decision making.
title_short The influence of spatiotemporal structure of noisy stimuli in decision making.
title_full The influence of spatiotemporal structure of noisy stimuli in decision making.
title_fullStr The influence of spatiotemporal structure of noisy stimuli in decision making.
title_full_unstemmed The influence of spatiotemporal structure of noisy stimuli in decision making.
title_sort influence of spatiotemporal structure of noisy stimuli in decision making.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2014-04-01
description Decision making is a process of utmost importance in our daily lives, the study of which has been receiving notable attention for decades. Nevertheless, the neural mechanisms underlying decision making are still not fully understood. Computational modeling has revealed itself as a valuable asset to address some of the fundamental questions. Biophysically plausible models, in particular, are useful in bridging the different levels of description that experimental studies provide, from the neural spiking activity recorded at the cellular level to the performance reported at the behavioral level. In this article, we have reviewed some of the recent progress made in the understanding of the neural mechanisms that underlie decision making. We have performed a critical evaluation of the available results and address, from a computational perspective, aspects of both experimentation and modeling that so far have eluded comprehension. To guide the discussion, we have selected a central theme which revolves around the following question: how does the spatiotemporal structure of sensory stimuli affect the perceptual decision-making process? This question is a timely one as several issues that still remain unresolved stem from this central theme. These include: (i) the role of spatiotemporal input fluctuations in perceptual decision making, (ii) how to extend the current results and models derived from two-alternative choice studies to scenarios with multiple competing evidences, and (iii) to establish whether different types of spatiotemporal input fluctuations affect decision-making outcomes in distinctive ways. And although we have restricted our discussion mostly to visual decisions, our main conclusions are arguably generalizable; hence, their possible extension to other sensory modalities is one of the points in our discussion.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24743140/pdf/?tool=EBI
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