A realistic model of neural networks
Tóm tắt
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.
Từ khóa
Tài liệu tham khảo
F. Gu, R. Song, A new model of biological neural network, Proceedings of the First National Conference of Neural Network of China, The First National Conference of Neural Network of China, Beijing, Nov. 1990, pp.278–279 (in Chinese).
J. S. Coombs, D. R. Curtis, J. C. Eccles, Time courses of motoneuronal responses, Nature, 178(1956), 1049.
J. S. Coombs, J. C. Eccles, P. Fatt, The inhibitory suppression of reflex discharges from motoneurons, J. Physiol., 130(1955), 396.
J. C. Eccles, The physiology of synapses, Springer-Verlag, Berlin, 1964.
B. Wang, The neural electrophysiology, 2nd edition, The Advanced Education Press, Beijing, 1991 (in Chinese).
O. Ekeberg et al., A computer based model for realistic simulation of neural networks, Biol. Cybern. 65(1991), 81.