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Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal
We consider approaches to brain dynamics and function that have been claimed to be Darwinian. These include Edelman’s theory of neuronal group selection, Changeux’s theory of synaptic selection and selective stabilization of pre-representations, Seung’s Darwinian synapse, Loewenstein’s synaptic meli...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3337445/ https://www.ncbi.nlm.nih.gov/pubmed/22557963 http://dx.doi.org/10.3389/fncom.2012.00024 |
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author | Fernando, Chrisantha Szathmáry, Eörs Husbands, Phil |
author_facet | Fernando, Chrisantha Szathmáry, Eörs Husbands, Phil |
author_sort | Fernando, Chrisantha |
collection | PubMed |
description | We consider approaches to brain dynamics and function that have been claimed to be Darwinian. These include Edelman’s theory of neuronal group selection, Changeux’s theory of synaptic selection and selective stabilization of pre-representations, Seung’s Darwinian synapse, Loewenstein’s synaptic melioration, Adam’s selfish synapse, and Calvin’s replicating activity patterns. Except for the last two, the proposed mechanisms are selectionist but not truly Darwinian, because no replicators with information transfer to copies and hereditary variation can be identified in them. All of them fit, however, a generalized selectionist framework conforming to the picture of Price’s covariance formulation, which deliberately was not specific even to selection in biology, and therefore does not imply an algorithmic picture of biological evolution. Bayesian models and reinforcement learning are formally in agreement with selection dynamics. A classification of search algorithms is shown to include Darwinian replicators (evolutionary units with multiplication, heredity, and variability) as the most powerful mechanism for search in a sparsely occupied search space. Examples are given of cases where parallel competitive search with information transfer among the units is more efficient than search without information transfer between units. Finally, we review our recent attempts to construct and analyze simple models of true Darwinian evolutionary units in the brain in terms of connectivity and activity copying of neuronal groups. Although none of the proposed neuronal replicators include miraculous mechanisms, their identification remains a challenge but also a great promise. |
format | Online Article Text |
id | pubmed-3337445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-33374452012-05-03 Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal Fernando, Chrisantha Szathmáry, Eörs Husbands, Phil Front Comput Neurosci Neuroscience We consider approaches to brain dynamics and function that have been claimed to be Darwinian. These include Edelman’s theory of neuronal group selection, Changeux’s theory of synaptic selection and selective stabilization of pre-representations, Seung’s Darwinian synapse, Loewenstein’s synaptic melioration, Adam’s selfish synapse, and Calvin’s replicating activity patterns. Except for the last two, the proposed mechanisms are selectionist but not truly Darwinian, because no replicators with information transfer to copies and hereditary variation can be identified in them. All of them fit, however, a generalized selectionist framework conforming to the picture of Price’s covariance formulation, which deliberately was not specific even to selection in biology, and therefore does not imply an algorithmic picture of biological evolution. Bayesian models and reinforcement learning are formally in agreement with selection dynamics. A classification of search algorithms is shown to include Darwinian replicators (evolutionary units with multiplication, heredity, and variability) as the most powerful mechanism for search in a sparsely occupied search space. Examples are given of cases where parallel competitive search with information transfer among the units is more efficient than search without information transfer between units. Finally, we review our recent attempts to construct and analyze simple models of true Darwinian evolutionary units in the brain in terms of connectivity and activity copying of neuronal groups. Although none of the proposed neuronal replicators include miraculous mechanisms, their identification remains a challenge but also a great promise. Frontiers Research Foundation 2012-04-26 /pmc/articles/PMC3337445/ /pubmed/22557963 http://dx.doi.org/10.3389/fncom.2012.00024 Text en Copyright © 2012 Fernando, Szathmáry and Husbands. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited. |
spellingShingle | Neuroscience Fernando, Chrisantha Szathmáry, Eörs Husbands, Phil Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal |
title | Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal |
title_full | Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal |
title_fullStr | Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal |
title_full_unstemmed | Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal |
title_short | Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal |
title_sort | selectionist and evolutionary approaches to brain function: a critical appraisal |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3337445/ https://www.ncbi.nlm.nih.gov/pubmed/22557963 http://dx.doi.org/10.3389/fncom.2012.00024 |
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