Perception and hierarchical dynamics
In this paper, we suggest that perception could be modeled by assuming that sensory input is generated by a hierarchy of attractors in a dynamic system. We describe a mathematical model which exploits the temporal structure of rapid sensory dynamics to track the slower trajectories of their underlyi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2009-07-01
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| Series: | Frontiers in Neuroinformatics |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/neuro.11.020.2009/full |
| _version_ | 1819094379073110016 |
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| author | Stefan J Kiebel Jean Daunizeau Karl J Friston |
| author_facet | Stefan J Kiebel Jean Daunizeau Karl J Friston |
| author_sort | Stefan J Kiebel |
| collection | DOAJ |
| description | In this paper, we suggest that perception could be modeled by assuming that sensory input is generated by a hierarchy of attractors in a dynamic system. We describe a mathematical model which exploits the temporal structure of rapid sensory dynamics to track the slower trajectories of their underlying causes. This model establishes a proof of concept that slowly changing neuronal states can encode the trajectories of faster sensory signals. We link this hierarchical account to recent developments in the perception of human action; in particular artificial speech recognition. We argue that these hierarchical models of dynamical systems are a plausible starting point to develop robust recognition schemes, because they capture critical temporal dependencies induced by deep hierarchical structure. We conclude by suggesting that a fruitful computational neuroscience approach may emerge from modeling perception as non-autonomous recognition dynamics enslaved by autonomous hierarchical dynamics in the sensorium. |
| first_indexed | 2024-12-21T23:26:28Z |
| format | Article |
| id | doaj.art-460be380d57f4a389ef5eb17decae98b |
| institution | Directory Open Access Journal |
| issn | 1662-5196 |
| language | English |
| last_indexed | 2024-12-21T23:26:28Z |
| publishDate | 2009-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroinformatics |
| spelling | doaj.art-460be380d57f4a389ef5eb17decae98b2022-12-21T18:46:37ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962009-07-01310.3389/neuro.11.020.2009569Perception and hierarchical dynamicsStefan J Kiebel0Jean Daunizeau1Karl J Friston2Max Planck Institute for Human Cognitive and Brain SciencesUCLUCLIn this paper, we suggest that perception could be modeled by assuming that sensory input is generated by a hierarchy of attractors in a dynamic system. We describe a mathematical model which exploits the temporal structure of rapid sensory dynamics to track the slower trajectories of their underlying causes. This model establishes a proof of concept that slowly changing neuronal states can encode the trajectories of faster sensory signals. We link this hierarchical account to recent developments in the perception of human action; in particular artificial speech recognition. We argue that these hierarchical models of dynamical systems are a plausible starting point to develop robust recognition schemes, because they capture critical temporal dependencies induced by deep hierarchical structure. We conclude by suggesting that a fruitful computational neuroscience approach may emerge from modeling perception as non-autonomous recognition dynamics enslaved by autonomous hierarchical dynamics in the sensorium.http://journal.frontiersin.org/Journal/10.3389/neuro.11.020.2009/fullPerceptionSpeechenvironmentrecognitionbirdsongBayesian inversion |
| spellingShingle | Stefan J Kiebel Jean Daunizeau Karl J Friston Perception and hierarchical dynamics Frontiers in Neuroinformatics Perception Speech environment recognition birdsong Bayesian inversion |
| title | Perception and hierarchical dynamics |
| title_full | Perception and hierarchical dynamics |
| title_fullStr | Perception and hierarchical dynamics |
| title_full_unstemmed | Perception and hierarchical dynamics |
| title_short | Perception and hierarchical dynamics |
| title_sort | perception and hierarchical dynamics |
| topic | Perception Speech environment recognition birdsong Bayesian inversion |
| url | http://journal.frontiersin.org/Journal/10.3389/neuro.11.020.2009/full |
| work_keys_str_mv | AT stefanjkiebel perceptionandhierarchicaldynamics AT jeandaunizeau perceptionandhierarchicaldynamics AT karljfriston perceptionandhierarchicaldynamics |