Hebbian crosstalk prevents nonlinear unsupervised learning
Learning is thought to occur by localized, activity-induced changes in the strength of synaptic connections between neurons. Recent work has shown that activity-dependent changes at one connection can affect changes at others ("crosstalk"). We studied the role of such crosstalk in nonlinea...
| Format: | Article |
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| Language: | English |
| Published: |
Frontiers Media S.A.
2009-09-01
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| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/neuro.10.011.2009/full |
| _version_ | 1818966356824948736 |
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| collection | DOAJ |
| description | Learning is thought to occur by localized, activity-induced changes in the strength of synaptic connections between neurons. Recent work has shown that activity-dependent changes at one connection can affect changes at others ("crosstalk"). We studied the role of such crosstalk in nonlinear Hebbian learning using a neural network implementation of Independent Components Analysis (ICA). We find that there is a sudden qualitative change in the performance of the network at a threshold crosstalk level and discuss the implications of this for nonlinear learning from higher-order correlations in the neocortex. |
| first_indexed | 2024-12-20T13:31:36Z |
| format | Article |
| id | doaj.art-8c0c2937c5d044a7a707cd3c79446726 |
| institution | Directory Open Access Journal |
| issn | 1662-5188 |
| language | English |
| last_indexed | 2024-12-20T13:31:36Z |
| publishDate | 2009-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computational Neuroscience |
| spelling | doaj.art-8c0c2937c5d044a7a707cd3c794467262022-12-21T19:39:04ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882009-09-01310.3389/neuro.10.011.2009272Hebbian crosstalk prevents nonlinear unsupervised learningLearning is thought to occur by localized, activity-induced changes in the strength of synaptic connections between neurons. Recent work has shown that activity-dependent changes at one connection can affect changes at others ("crosstalk"). We studied the role of such crosstalk in nonlinear Hebbian learning using a neural network implementation of Independent Components Analysis (ICA). We find that there is a sudden qualitative change in the performance of the network at a threshold crosstalk level and discuss the implications of this for nonlinear learning from higher-order correlations in the neocortex.http://journal.frontiersin.org/Journal/10.3389/neuro.10.011.2009/fullLTPsynaptic plasticityCortexICAHebbian LearningLTP crosstalk |
| spellingShingle | Hebbian crosstalk prevents nonlinear unsupervised learning Frontiers in Computational Neuroscience LTP synaptic plasticity Cortex ICA Hebbian Learning LTP crosstalk |
| title | Hebbian crosstalk prevents nonlinear unsupervised learning |
| title_full | Hebbian crosstalk prevents nonlinear unsupervised learning |
| title_fullStr | Hebbian crosstalk prevents nonlinear unsupervised learning |
| title_full_unstemmed | Hebbian crosstalk prevents nonlinear unsupervised learning |
| title_short | Hebbian crosstalk prevents nonlinear unsupervised learning |
| title_sort | hebbian crosstalk prevents nonlinear unsupervised learning |
| topic | LTP synaptic plasticity Cortex ICA Hebbian Learning LTP crosstalk |
| url | http://journal.frontiersin.org/Journal/10.3389/neuro.10.011.2009/full |