The brain’s router : a cortical network model of serial processing in the primate brain

The human brain efficiently solves certain operations such as object recognition and categorization through a massively parallel network of dedicated processors. However, human cognition also relies on the ability to perform an arbitrarily large set of tasks by flexibly recombining different process...

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Detalles Bibliográficos
Autor principal: Zylberberg, Ariel
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: 2018
Materias:
Neurons
Motor neurons
Neural networks
Cognition
Memory
Senosry neurons
Action potentials
Sensory receptors
Acceso en línea:https://doi.org/10.1371/journal.pcbi.1000765
https://repositorio.utdt.edu/handle/20.500.13098/11085
Aporte de:
Repositorio Digital Universidad Torcuato Di Tella de Universidad Torcuato Di Tella
id I57-R16320.500.13098-11085
record_format dspace
institution Universidad Torcuato Di Tella
institution_str I-57
repository_str R-163
collection Repositorio Digital Universidad Torcuato Di Tella
language Inglés
orig_language_str_mv eng
topic Neurons
Motor neurons
Neural networks
Cognition
Memory
Senosry neurons
Action potentials
Sensory receptors
spellingShingle Neurons
Motor neurons
Neural networks
Cognition
Memory
Senosry neurons
Action potentials
Sensory receptors
Zylberberg, Ariel
The brain’s router : a cortical network model of serial processing in the primate brain
description The human brain efficiently solves certain operations such as object recognition and categorization through a massively parallel network of dedicated processors. However, human cognition also relies on the ability to perform an arbitrarily large set of tasks by flexibly recombining different processors into a novel chain. This flexibility comes at the cost of a severe slowing down and a seriality of operations (100–500 ms per step). A limit on parallel processing is demonstrated in experimental setups such as the psychological refractory period (PRP) and the attentional blink (AB) in which the processing of an element either significantly delays (PRP) or impedes conscious access (AB) of a second, rapidly presented element. Here we present a spiking-neuron implementation of a cognitive architecture where a large number of local parallel processors assemble together to produce goal-driven behavior. The precise mapping of incoming sensory stimuli onto motor representations relies on a ‘‘router’’ network capable of flexibly interconnecting processors and rapidly changing its configuration from one task to another. Simulations show that, when presented with dual-task stimuli, the network exhibits parallel processing at peripheral sensory levels, a memory buffer capable of keeping the result of sensory processing on hold, and a slow serial performance at the router stage, resulting in a performance bottleneck. The network captures the detailed dynamics of human behavior during dual-task-performance, including both mean RTs and RT distributions, and establishes concrete predictions on neuronal dynamics during dual-task experiments in humans and non-human primates.
format Artículo
publishedVersion
author Zylberberg, Ariel
author_facet Zylberberg, Ariel
author_sort Zylberberg, Ariel
title The brain’s router : a cortical network model of serial processing in the primate brain
title_short The brain’s router : a cortical network model of serial processing in the primate brain
title_full The brain’s router : a cortical network model of serial processing in the primate brain
title_fullStr The brain’s router : a cortical network model of serial processing in the primate brain
title_full_unstemmed The brain’s router : a cortical network model of serial processing in the primate brain
title_sort brain’s router : a cortical network model of serial processing in the primate brain
publishDate 2018
url https://doi.org/10.1371/journal.pcbi.1000765
https://repositorio.utdt.edu/handle/20.500.13098/11085
work_keys_str_mv AT zylberbergariel thebrainsrouteracorticalnetworkmodelofserialprocessingintheprimatebrain
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bdutipo_str Repositorios
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