Toward a Biophysically Plausible Bidirectional Hebbian Rule
Although the commonly used quadratic Hebbian-;anti-Hebbian rules lead to successful models of plasticity and learning, they are inconsistent with neurophysiology. Other rules, more physiologically plausible, fail to specify the biological mechanism of bidirectionality and the biological mechanism th...
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| Veröffentlicht in: | Neural computation 1998-04, Vol.10 (3), p.499-520 |
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| creator | Grzywacz, Norberto M. Burgi, Pierre-Yves |
| description | Although the commonly used quadratic Hebbian-;anti-Hebbian rules lead to successful models of plasticity and learning, they are inconsistent with neurophysiology. Other rules, more physiologically plausible, fail to specify the biological mechanism of bidirectionality and the biological mechanism that prevents synapses from changing from excitatory to inhibitory, and vice versa. We developed a synaptic bidirectional Hebbian rule that does not suffer from these problems. This rule was compared with physiological homosynaptic conditions in the hippocampus, with the results indicating the consistency of this rule with long-term potentiation (LTP) and long-term depression (LTD) phenomenologies. The phenomenologies considered included the reversible dynamics of LTP and LTD and the effects of
-methyl-
-aspartate blockers and phosphatase inhibitors. |
| doi_str_mv | 10.1162/089976698300017629 |
| format | Article |
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-methyl-
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Scientific computation</subject><subject>Numerical simulation</subject><subject>Sciences and techniques of general use</subject><subject>Synaptic Transmission - physiology</subject><issn>0899-7667</issn><issn>1530-888X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE1LAzEURYMoWqt_QBBmIe6m5mvygSstVgVBEQV3IclkMCWdqUlHqb_eSIsbi64Ceeeex7sAHCE4QojhMyik5IxJQSCEiDMst8AAVQSWQoiXbTD4BspM8D2wn9I0UwzBahfsygrznBqA86fuQ8e60MWl7-avy-StDmFZPATdJ2-Cy_-1j84ufNfqUNw4Y7xui8c-uAOw0-iQ3OH6HYLnydXT-Ka8u7--HV_clbaSclFSxyxthHZG2NpWFTPUEkOFQbgW3GJqNMQQY6q5QM4JSmDT4JozCiVhjSVDcLryzmP31ru0UDOfrAtBt67rk-KSc8Eh_hdEWYlxtg4BXoE2dilF16h59DMdlwpB9V2t-l1tDh2v7b2Zufonsu4yz0_Wc51yiU3UrfXpB8uLMacoY6MVNvMLNe36mGtNf--dbAi0znbvCHqiSL6ccJX1KDuyQX36-SbRF4Q7oRw</recordid><startdate>19980401</startdate><enddate>19980401</enddate><creator>Grzywacz, Norberto M.</creator><creator>Burgi, Pierre-Yves</creator><general>MIT Press</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>7X8</scope></search><sort><creationdate>19980401</creationdate><title>Toward a Biophysically Plausible Bidirectional Hebbian Rule</title><author>Grzywacz, Norberto M. ; Burgi, Pierre-Yves</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c599t-4e6c4f8aeb8cdc556b4c3b48b12d87c24ba020224a781ee8430ff2d7640936fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Biophysical Phenomena</topic><topic>Biophysics</topic><topic>Computer science; control theory; systems</topic><topic>Computer Simulation</topic><topic>Connectionism. Neural networks</topic><topic>Enzyme Inhibitors - pharmacology</topic><topic>Exact sciences and technology</topic><topic>Excitatory Amino Acid Antagonists - pharmacology</topic><topic>Feedback</topic><topic>Hippocampus - physiology</topic><topic>Learning - physiology</topic><topic>Long-Term Potentiation</topic><topic>Mathematics</topic><topic>Models, Neurological</topic><topic>Neuronal Plasticity - physiology</topic><topic>Numerical analysis</topic><topic>Numerical analysis. Scientific computation</topic><topic>Numerical simulation</topic><topic>Sciences and techniques of general use</topic><topic>Synaptic Transmission - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Grzywacz, Norberto M.</creatorcontrib><creatorcontrib>Burgi, Pierre-Yves</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Neural computation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Grzywacz, Norberto M.</au><au>Burgi, Pierre-Yves</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Toward a Biophysically Plausible Bidirectional Hebbian Rule</atitle><jtitle>Neural computation</jtitle><addtitle>Neural Comput</addtitle><date>1998-04-01</date><risdate>1998</risdate><volume>10</volume><issue>3</issue><spage>499</spage><epage>520</epage><pages>499-520</pages><issn>0899-7667</issn><eissn>1530-888X</eissn><abstract>Although the commonly used quadratic Hebbian-;anti-Hebbian rules lead to successful models of plasticity and learning, they are inconsistent with neurophysiology. Other rules, more physiologically plausible, fail to specify the biological mechanism of bidirectionality and the biological mechanism that prevents synapses from changing from excitatory to inhibitory, and vice versa. We developed a synaptic bidirectional Hebbian rule that does not suffer from these problems. This rule was compared with physiological homosynaptic conditions in the hippocampus, with the results indicating the consistency of this rule with long-term potentiation (LTP) and long-term depression (LTD) phenomenologies. The phenomenologies considered included the reversible dynamics of LTP and LTD and the effects of
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| ispartof | Neural computation, 1998-04, Vol.10 (3), p.499-520 |
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| subjects | Applied sciences Artificial intelligence Biophysical Phenomena Biophysics Computer science control theory systems Computer Simulation Connectionism. Neural networks Enzyme Inhibitors - pharmacology Exact sciences and technology Excitatory Amino Acid Antagonists - pharmacology Feedback Hippocampus - physiology Learning - physiology Long-Term Potentiation Mathematics Models, Neurological Neuronal Plasticity - physiology Numerical analysis Numerical analysis. Scientific computation Numerical simulation Sciences and techniques of general use Synaptic Transmission - physiology |
| title | Toward a Biophysically Plausible Bidirectional Hebbian Rule |
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