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Symmetry breaking induced by Spike-Timing-Dependent Plasticity in the presence of recurrent connections.
- Source :
- BMC Neuroscience; 2008 Supplement 1, Vol. 9, Special section p1-2, 2p, 2 Graphs
- Publication Year :
- 2008
-
Abstract
- The article focuses on a study of the dynamics of recurrently connected linear Poisson neurons excited by steady external pulse trains with a correlation structure. According to the authors, the input synaptic weights are modified based on additive Spike-Timing-Dependent Plasticity (STDP) that relies upon both rate-based and pairwise-correlation-based changes. It concludes that the presence of recurrent connections impacts upon the learning of the input connections, which relates to the emergence of self-organised maps in neural networks.
- Subjects :
- NEURONS
POISSON processes
SYNAPSES
NEUROPLASTICITY
BIOLOGICAL neural networks
Subjects
Details
- Language :
- English
- ISSN :
- 14712202
- Volume :
- 9
- Database :
- Complementary Index
- Journal :
- BMC Neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 38599795
- Full Text :
- https://doi.org/10.1186/1471-2202-9-S1-O14