Nonlinear Dynamics, Quasi-Periodic Summation, Self-Oscillating Processes, and Information Coding in Selective Spiking Neural Networks
| Autor: | M. E. Mazurov |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010302 applied physics
Spiking neural network Physics Quantitative Biology::Neurons and Cognition Basis (linear algebra) 010308 nuclear & particles physics Information processing General Physics and Astronomy Pulse sequence 01 natural sciences Signal Pulse (physics) Nonlinear system 0103 physical sciences Relaxation (approximation) Biological system |
| Zdroj: | Bulletin of the Russian Academy of Sciences: Physics. 82:1425-1430 |
| ISSN: | 1934-9432 1062-8738 |
| DOI: | 10.3103/s1062873818110163 |
| Popis: | Nonlinear dynamics, physical processes, and information processing in selective spiking neurons are investigated. Summation of pulse inputs are considered on the basis of the theory of quasi-periodic functions and nonlinear transformation via relaxation of the self-oscillating system of a neuron. A way of encoding input information is also considered in which the information unit is a pulse sequence, and the intensity of the input signal is encoded by a synchronous change in the frequency of the pulse sequences. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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