Chaotic resonance in coupled inferior olive neurons with the Llinas approach neuron model
Chaotic resonance in coupled inferior olive neurons with the Llinas approach neuron model
复制标题
下橄榄神经元与 Llinas 方法神经元模型耦合的混沌共振
DOI：
10.1162/neco_a_00894
复制
发表时间：
2016
影响因子：
2.9
通讯作者：
H. Nishimura
中科院分区：
文献类型：
--
作者：
S. Nobukawa;H. Nishimura
众所周知，小脑运动控制是通过学习过程微调的，学习过程根据来自下橄榄（IO）神经元的丰富错误信号进行调整。Schweighofer及其同事提出，这些信号可能是由IO神经元组装中的无序放电产生的；这种混沌共振（CR）在霍奇金-赫胥黎（HH）型隔室模型的计算机演示中得到了复制。在这项研究中，我们研究了CR对IO神经元组件中周期信号的响应，包括Llinás方法IO神经元模型。该系统涉及经验观察的IO膜电位动力学，比hh型室室模型更简单。然后我们澄清了它对电耦合强度、输入信号强度和频率的依赖。此外，我们比较了CR和常规随机共振（SR）对IO神经元的生理有效性，如低放电率和持续阈下振荡，并检验了以往基于模型的研究在小脑学习过程中所表明的异步放电的一致性。此外，我们还研究了CR和SR在一个大神经元集合中的信号响应。因此，我们确认CR与上述IO神经元的特征一致，而SR则不那么容易。
It is well known that cerebellar motor control is fine-tuned by the learning process adjusted according to rich error signals from inferior olive (IO) neurons. Schweighofer and colleagues proposed that these signals can be produced by chaotic irregular firing in the IO neuron assembly; such chaotic resonance (CR) was replicated in their computer demonstration of a Hodgkin-Huxley (HH)-type compartment model. In this study, we examined the response of CR to a periodic signal in the IO neuron assembly comprising the Llinás approach IO neuron model. This system involves empirically observed dynamics of the IO membrane potential and is simpler than the HH-type compartment model. We then clarified its dependence on electrical coupling strength, input signal strength, and frequency. Furthermore, we compared the physiological validity for IO neurons such as low firing rate and sustaining subthreshold oscillation between CR and conventional stochastic resonance (SR) and examined the consistency with asynchronous firings indicated by the previous model-based studies in the cerebellar learning process. In addition, the signal response of CR and SR was investigated in a large neuron assembly. As the result, we confirmed that CR was consistent with the above IO neuron’s characteristics, but it was not as easy for SR.