Medvedev A V, Frolov A A
Biofizika. 1989 Nov-Dec;34(6):1028-30.
On the basis of neuronal network a linearized model of power spectrum of the network stable activity was calculated with the approximation of external input by "white" noise. The power spectrum function obtained was used for approximation of the power spectra of the rats motor cortex potentials by the least squares method. As a result the network parameters modelling excitatory and inhibitory cellular and synaptic mechanisms were calculated for two rat strains differing in seizure readiness. As a result of calculations genetically predisposed to seizures KM rats were assumed to differ from unpredisposed to seizures Wistar rats in the increase of efficacy of neuronal interactions (excitatory and inhibitory) as a consequence of the enhanced neuronal "reactivity".
基于神经网络，通过用“白”噪声近似外部输入，计算了网络稳定活动功率谱的线性化模型。将得到的功率谱函数用于通过最小二乘法近似大鼠运动皮层电位的功率谱。结果，针对两种癫痫易感性不同的大鼠品系，计算了模拟兴奋性和抑制性细胞及突触机制的网络参数。计算结果表明，由于神经元“反应性”增强，遗传上易患癫痫的KM大鼠与不易患癫痫的Wistar大鼠相比，神经元相互作用（兴奋性和抑制性）的效能有所增加。
