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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Autores principales:	Andrea Insabato, Laura Dempere-Marco, Mario Pannunzi, Gustavo Deco, Ranulfo Romo
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/a8f9cf1d33d6467ca557fe35bdb102fb
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spelling	oai:doaj.org-article:a8f9cf1d33d6467ca557fe35bdb102fb2021-11-18T05:52:57ZThe influence of spatiotemporal structure of noisy stimuli in decision making.1553-734X1553-735810.1371/journal.pcbi.1003492https://doaj.org/article/a8f9cf1d33d6467ca557fe35bdb102fb2014-04-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24743140/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Decision 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.Andrea InsabatoLaura Dempere-MarcoMario PannunziGustavo DecoRanulfo RomoPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 10, Iss 4, p e1003492 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Andrea Insabato Laura Dempere-Marco Mario Pannunzi Gustavo Deco Ranulfo Romo The influence of spatiotemporal structure of noisy stimuli in decision making.
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.
format	article
author	Andrea Insabato Laura Dempere-Marco Mario Pannunzi Gustavo Deco Ranulfo Romo
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)
publishDate	2014
url	https://doaj.org/article/a8f9cf1d33d6467ca557fe35bdb102fb
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The influence of spatiotemporal structure of noisy stimuli in decision making.

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