Why do some neurons in cortex respond to information in a selective manner? Insights from artificial neural networks.
Why do some neurons in hippocampus and cortex respond to information in a highly selective manner? It has been hypothesized that neurons in hippocampus encode information in a highly selective manner in order to support fast learning without catastrophic interference, and that neurons in cortex enco...
| Published in: | Cognition Vol. 148; pp. 47 - 64 |
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| Main Authors: | , , , |
| Format: | research Journal Article |
| Published: |
Elsevier B.V.
Mar2016
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=112366737&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 112366737 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00100277 3H9 jtl: Cognition issn: 00100277 maglogo: N pubinfo: dt: Mar2016 vid: 148 pid: 1004 pub: Elsevier B.V. artinfo: ui: 112366737 112366737 NLM26722711 112366737 10.1016/j.cognition.2015.12.009 NLM26722711 112366737 ppf: 47 ppct: 17 formats: tig: atl: Why do some neurons in cortex respond to information in a selective manner? Insights from artificial neural networks. aug: au: Bowers, Jeffrey S. Vankov, Ivan I. Damian, Markus F. Davis, Colin J. affil: University of Bristol, United Kingdom sug: subj: Hippocampus Physiology Neurons Physiology Learning Cerebral Cortex Physiology Neural Networks (Computer) Human Neurons Computer Simulation Cerebral Cortex Hippocampus Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: Why do some neurons in hippocampus and cortex respond to information in a highly selective manner? It has been hypothesized that neurons in hippocampus encode information in a highly selective manner in order to support fast learning without catastrophic interference, and that neurons in cortex encode information in a highly selective manner in order to co-activate multiple items in short-term memory (STM) without suffering a superposition catastrophe. However, the latter hypothesis is at odds with the widespread view that neural coding in the cortex is highly distributed in order to support generalization. We report a series of simulations that characterize the conditions in which recurrent Parallel Distributed Processing (PDP) models of immediate serial can recall novel words. We found that these models learned localist codes when they succeeded in generalizing to novel words. That is, just as fast learning may explain selective coding in hippocampus, STM and generalization may help explain the existence of selective codes in cortex. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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