Self-Organization through Spike-Timing Dependent Plasticity Using localized Synfire-Chain Patterns
| Autor: | Toshio Akimitsu, Yoichi Okabe, Akira Hirose |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Self-organization
Quantitative Biology::Neurons and Cognition Computer Networks and Communications Spike-timing-dependent plasticity business.industry Computer science General Neuroscience Information processing Carpet plot Plasticity Computer Science::Emerging Technologies Synfire chain Artificial Intelligence Spike (software development) Artificial intelligence Topological map business Biological system Software |
| Zdroj: | Neural Processing Letters. 25:79-89 |
| ISSN: | 1573-773X 1370-4621 |
| DOI: | 10.1007/s11063-006-9032-7 |
| Popis: | Many experimental results suggest that more precise spike timing is significant in neural information processing. From this point of view, we construct a self-organizing model using the spatio-temporal patterns, where Spike-Timing Dependent Plasticity (STDP) tunes the conduction delays between neurons. STDP forms smoother map with the spatially random and dispersed patterns, whereas it causes spatially distributed and clustered firings for spatially continuous and synchronous inputs. These results suggest that STDP forms cell assemblies having a fine structure reflecting external stimuli. |
| Databáze: | OpenAIRE |
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