A realistic model of neural networks
| Autor: | Gu Fanji, Ruan Jiong, Li Xunjing |
|---|---|
| Rok vydání: | 1992 |
| Předmět: |
Quantitative Biology::Neurons and Cognition
Artificial neural network Computer science Sensory system Mach bands Impulse (physics) Inhibitory postsynaptic potential symbols.namesake Control theory Postsynaptic potential symbols Graded potential Electrical and Electronic Engineering Neural Impulse Actuator Simulation |
| Zdroj: | Journal of Electronics (China). 9:289-295 |
| ISSN: | 1993-0615 0217-9822 |
| DOI: | 10.1007/bf02685864 |
| Popis: | A realistic model of neural networks was proposed in this paper. The dynamic process of neural impulse discharging was considered. The equations of the model correspond to postsynaptic potentials, receptor potentials, initial segment graded potentials and the impulse train along the axon respectively. To solve the equations numerically, a recurrent algorithm and its corresponding flow chart was also developed. The simulation results can imitate adaptation, postexcitation inhibition, and phase locking of sensory receptors; they can also imitate the transient responses of lateral inhibitory network and Mach band phenomenon when they trended to be steady. The simulation results also showed that the lateral inhibitory network was sensitive to moving objects. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink