Complex Behavior in an Integrate-and-Fire Neuron Model Based on Small World Networks
| Autor: | Min Lin, Tian-Lun Chen |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Correlation dimension
Small-world network Quantitative Biology::Neurons and Cognition Physics and Astronomy (miscellaneous) medicine.diagnostic_test Computer science business.industry Physics::Medical Physics Chaotic Biological neuron model Pattern recognition Electroencephalography Phase space medicine Spectral analysis Artificial intelligence business |
| Zdroj: | Communications in Theoretical Physics. 44:311-315 |
| ISSN: | 0253-6102 |
| Popis: | Based on our previously pulse-coupled integrate-and-fire neuron model in small world networks, we investigate the complex behavior of electroencephalographic (EEG)-like activities produced by such a model. We find EEG-like activities have obvious chaotic characteristics. We also analyze the complex behaviors of EEG-like signals, such as spectral analysis, reconstruction of the phase space, the correlation dimension, and so on. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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