Publication
On the relevance of the neurobiological analogue of the finite-state architecture
dc.contributor.author | Magnus Petersson, Karl | |
dc.date.accessioned | 2018-12-07T14:53:35Z | |
dc.date.available | 2018-12-07T14:53:35Z | |
dc.date.issued | 2005-06 | |
dc.description.abstract | We present two simple arguments for the potential relevance of a neurobiological analogue of the finite-state architecture. The first assumes the classical cognitive framework, is well-known, and is based on the assumption that the brain is finite with respect to its memory organization. The second is formulated within a general dynamical systems framework and is based on the assumption that the brain sustains some level of noise and/or does not utilize infinite precision processing. We briefly review the classical cognitive framework based on Church-Turing computability and non-classical approaches based on analog processing in dynamical systems. We conclude that the dynamical neurobiological analogue of the finite-state architecture appears to be relevant, at least at an implementational level, for cognitive brain systems. | |
dc.identifier.doi | 10.1016/j.neucom.2004.10.108 | |
dc.identifier.issn | 0925-2312 | |
dc.identifier.uri | http://hdl.handle.net/10400.1/11585 | |
dc.language.iso | eng | |
dc.peerreviewed | yes | |
dc.publisher | Elsevier | |
dc.subject | Language | |
dc.subject | Cognition | |
dc.subject | Computability | |
dc.subject | Complexity | |
dc.subject | Dynamical systems | |
dc.title | On the relevance of the neurobiological analogue of the finite-state architecture | |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Baltimore, United States of America | |
oaire.citation.endPage | 832 | |
oaire.citation.startPage | 825 | |
oaire.citation.title | Neurocomputing | |
oaire.citation.title | 13Th Annual Computational Neuroscience Meeting (Cns 04) | |
oaire.citation.volume | 65 | |
person.familyName | Petersson | |
person.givenName | Karl Magnus | |
person.identifier | 13089 | |
person.identifier.ciencia-id | 6D14-B1D1-1532 | |
person.identifier.orcid | 0000-0002-8245-0392 | |
person.identifier.rid | E-8188-2012 | |
person.identifier.scopus-author-id | 7006470225 | |
rcaap.rights | openAccess | |
rcaap.type | article | |
relation.isAuthorOfPublication | 0f437ab3-c630-40ad-963f-13196ad4fbd6 | |
relation.isAuthorOfPublication.latestForDiscovery | 0f437ab3-c630-40ad-963f-13196ad4fbd6 |
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