Robustness analysis of adaptive neural network model based on spike timing-dependent plasticity.
- Author:
Yunzhi CHEN
;
Guizhi XU
;
Qian ZHOU
;
Miaomiao GUO
;
Lei GUO
;
Xiaowei WAN
- Publication Type:Journal Article
- MeSH:
Action Potentials;
Models, Neurological;
Nerve Net;
Neuronal Plasticity;
Neurons
- From:
Journal of Biomedical Engineering
2015;32(1):25-31
- CountryChina
- Language:Chinese
-
Abstract:
To explore the self-organization robustness of the biological neural network, and thus to provide new ideas and methods for the electromagnetic bionic protection, we studied both the information transmission mechanism of neural network and spike timing-dependent plasticity (STDP) mechanism, and then investigated the relationship between synaptic plastic and adaptive characteristic of biology. Then a feedforward neural network with the Izhikevich model and the STDP mechanism was constructed, and the adaptive robust capacity of the network was analyzed. Simulation results showed that the neural network based on STDP mechanism had good rubustness capacity, and this characteristics is closely related to the STDP mechanisms. Based on this simulation work, the cell circuit with neurons and synaptic circuit which can simulate the information processing mechanisms of biological nervous system will be further built, then the electronic circuits with adaptive robustness will be designed based on the cell circuit.
