Bayesian action-perception computational model: interaction of production and recognition of cursive letters.

In this paper, we study the collaboration of perception and action representations involved in cursive letter recognition and production. We propose a mathematical formulation for the whole perception-action loop, based on probabilistic modeling and bayesian inference, which we call the Bayesian Act...

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Autores principales:	Estelle Gilet, Julien Diard, Pierre Bessière
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b82ca07535274421840e8e500aea7cd3
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id	oai:doaj.org-article:b82ca07535274421840e8e500aea7cd3
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spelling	oai:doaj.org-article:b82ca07535274421840e8e500aea7cd32021-11-18T06:52:44ZBayesian action-perception computational model: interaction of production and recognition of cursive letters.1932-620310.1371/journal.pone.0020387https://doaj.org/article/b82ca07535274421840e8e500aea7cd32011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21674043/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203In this paper, we study the collaboration of perception and action representations involved in cursive letter recognition and production. We propose a mathematical formulation for the whole perception-action loop, based on probabilistic modeling and bayesian inference, which we call the Bayesian Action-Perception (BAP) model. Being a model of both perception and action processes, the purpose of this model is to study the interaction of these processes. More precisely, the model includes a feedback loop from motor production, which implements an internal simulation of movement. Motor knowledge can therefore be involved during perception tasks. In this paper, we formally define the BAP model and show how it solves the following six varied cognitive tasks using bayesian inference: i) letter recognition (purely sensory), ii) writer recognition, iii) letter production (with different effectors), iv) copying of trajectories, v) copying of letters, and vi) letter recognition (with internal simulation of movements). We present computer simulations of each of these cognitive tasks, and discuss experimental predictions and theoretical developments.Estelle GiletJulien DiardPierre BessièrePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 6, p e20387 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Estelle Gilet Julien Diard Pierre Bessière Bayesian action-perception computational model: interaction of production and recognition of cursive letters.
description	In this paper, we study the collaboration of perception and action representations involved in cursive letter recognition and production. We propose a mathematical formulation for the whole perception-action loop, based on probabilistic modeling and bayesian inference, which we call the Bayesian Action-Perception (BAP) model. Being a model of both perception and action processes, the purpose of this model is to study the interaction of these processes. More precisely, the model includes a feedback loop from motor production, which implements an internal simulation of movement. Motor knowledge can therefore be involved during perception tasks. In this paper, we formally define the BAP model and show how it solves the following six varied cognitive tasks using bayesian inference: i) letter recognition (purely sensory), ii) writer recognition, iii) letter production (with different effectors), iv) copying of trajectories, v) copying of letters, and vi) letter recognition (with internal simulation of movements). We present computer simulations of each of these cognitive tasks, and discuss experimental predictions and theoretical developments.
format	article
author	Estelle Gilet Julien Diard Pierre Bessière
author_facet	Estelle Gilet Julien Diard Pierre Bessière
author_sort	Estelle Gilet
title	Bayesian action-perception computational model: interaction of production and recognition of cursive letters.
title_short	Bayesian action-perception computational model: interaction of production and recognition of cursive letters.
title_full	Bayesian action-perception computational model: interaction of production and recognition of cursive letters.
title_fullStr	Bayesian action-perception computational model: interaction of production and recognition of cursive letters.
title_full_unstemmed	Bayesian action-perception computational model: interaction of production and recognition of cursive letters.
title_sort	bayesian action-perception computational model: interaction of production and recognition of cursive letters.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/b82ca07535274421840e8e500aea7cd3
work_keys_str_mv	AT estellegilet bayesianactionperceptioncomputationalmodelinteractionofproductionandrecognitionofcursiveletters AT juliendiard bayesianactionperceptioncomputationalmodelinteractionofproductionandrecognitionofcursiveletters AT pierrebessiere bayesianactionperceptioncomputationalmodelinteractionofproductionandrecognitionofcursiveletters
_version_	1718424251670724608

Bayesian action-perception computational model: interaction of production and recognition of cursive letters.

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