Luo Chuan, Clark John W, Canavier Carmen C, Baxter Douglas A, Byrne John H
Department of Electrical and Computer Engineering, MS 366, Rice University, Houston, TX 77005, USA.
IEEE Trans Biomed Eng. 2004 Feb;51(2):205-18. doi: 10.1109/TBME.2003.820380.
We study a four-neuron ring circuit comprised of oscillating burst-type neurons unidirectionally coupled via inhibitory synapses. Simple circuits of this type have been used previously to study gait patterns. The ring circuit itself is a variant of the basic reciprocal inhibition network, and it exhibits the property of multistability (multiple stable modes of behavior). That is, different gait modes can be achieved via appropriate initialization of and parameterization of this self-excited oscillatory network. We demonstrate three common gait modes with this circuit: the walk, the bound, and a slightly rotated trot mode. Attention is focused mainly on the mechanisms of rapidly and effectively switching between these modes. Our simulations suggest that neuron membrane dynamics, as well as synaptic junctional properties, strongly influence phase sensitivity in the network; each synapse is a combination of both and can be characterized by a transient phase response curve (PRC). We use the same bursting neuron model to characterize all network neurons, and shape different transient PRCs by using different synaptic properties. The characteristics of these PRCs determine the gait modes sustained in any network configuration, as well as, the ability to switch between modes. The mechanisms explored in this simple circuit, may find application in the switching of more complicated gait pattern networks, as well as, in the design of neuromorphic gait pattern circuits.
我们研究了一个由振荡爆发型神经元组成的四神经元环形电路,这些神经元通过抑制性突触单向耦合。此前已使用这种类型的简单电路来研究步态模式。环形电路本身是基本相互抑制网络的一种变体,它具有多稳定性(多种稳定行为模式)的特性。也就是说,通过对这个自激振荡网络进行适当的初始化和参数设置,可以实现不同的步态模式。我们用这个电路展示了三种常见的步态模式:行走、跳跃以及一种轻微旋转的小跑模式。注意力主要集中在这些模式之间快速有效切换的机制上。我们的模拟表明,神经元膜动力学以及突触连接特性对网络中的相位敏感性有强烈影响;每个突触都是两者的组合,可以用瞬态相位响应曲线(PRC)来表征。我们使用相同的爆发神经元模型来表征所有网络神经元,并通过使用不同的突触特性来塑造不同的瞬态PRC。这些PRC的特性决定了在任何网络配置中维持的步态模式,以及模式之间切换的能力。在这个简单电路中探索的机制,可能会在更复杂的步态模式网络的切换以及神经形态步态模式电路的设计中找到应用。