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我们的人造中枢模式发生器是由Hodgkin-Huxley神经细胞通过互抑神经突触连接构成。我们研究神经网络产生的震荡信号与单个神经接受到的刺激电流间的时间延迟之间的关系,并演示了可以通过改变刺激信号来调控的神经网络的复合节奏行为,并且通过绘制相位地图来揭示系统的吸引点。我们通过实验来研究吸引点与神经网络的调控参数,比如神经的响应速率与相互抑制强度之间的关系。
Our artificial central pattern generator is made up of Hodgkin-Huxley nerve cells interacting through neuronal synapses. We study the relationship between the oscillatory signals generated by neural networks and the time delay between the stimulus currents received by a single nerve and demonstrate the complex rhythmic behavior of neural networks that can be manipulated by changing stimulus signals and reveal the phase map by plotting The system’s attraction. We experimentally study the parameters of attraction and neural network regulation, such as the relationship between neural response rate and mutual inhibition strength.