Synaptic plasticity in neural networks needs homeostasis with a fast rate detector.
Hebbian changes of excitatory synapses are driven by and further enhance correlations between pre- and postsynaptic activities. Hence, Hebbian plasticity forms a positive feedback loop that can lead to instability in simulated neural networks. To keep activity at healthy, low levels, plasticity must...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2013
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| Accès en ligne: | https://doaj.org/article/aa4df9d0c81d4af8845bc30081660ec9 |
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