The nervous system is composed of a large number of neurons, and the electrical activities
of neurons can present multiple modes during the signal transmission between neurons by …

Computational neuroscience and neuronal communication have been amongst the most
sought after fields in the recent times. The integration of computational neuroscience and …

It is well known that the firing modes of biological neurons are sensitive to slight temperature
changes in their environments. In this paper, a type of noise, which is dependent on …

Degeneracy is a fundamental source of biological robustness, complexity and evolvability in
many biological systems. However, degeneracy is often confused with redundancy …

Understanding the dynamics of noisy neurons remains an important challenge in
neuroscience. Here, we describe a simple probabilistic model that accurately describes the …

随着现代社会进入信息化与智能化时代, 神经形态计算以高度的并行, 极低的功耗和存算一体的
特征受到了广泛的关注. 本文着眼于未来神经形态器件和类脑智能的发展需求 …

研究了无外界周期信号时Hodgkin1Huxley 模型小世界生物神经网络的非线性响应.
数值模拟结果显示: 当噪声强度取某一有限值时, 峰序列有序度可以达到最大 …

We have studied the excitation properties of biophysical Hodgkin–Huxley neurons with the
side-inhibition mechanism in small-world networks. The result shows that the excitation …

In this paper, we propose a new model of weighted small-world biological neural networks
based on biophysical Hodgkin–Huxley neurons with side-restrain mechanism. Then we …

随机共振现象是非线性系统中普遍存在的自然现象. 主要通过研究小世界生物神经网络中的输出
信噪比与反映小世界效应的重连概率p, 耦合强度c 以及输入信号振幅A 之间的关系 …