论文标题
从混乱到回合神经网的时钟。案例研究
From chaos to clock in reverberating neural net. Case study
论文作者
论文摘要
从实际生物神经元网络注册的复杂动力学模式的原因是什么？提出了可能的答案，提出了网络（功能/动态连接组）的噪声和动态重新配置。在此案例研究中，我们报告了在具有固定连接组的25个神经元的简单确定性网络中观察到的复杂动力学模式。经过短暂的初始刺激后，网络将参与复杂的动力学，该动态持续很长时间。最终，在没有外部干预的情况下，这种动力学到了短期的周期性。长时间的瞬态被正面检查是否混乱。我们得出的结论是，观察到的复杂动力学是在神经元发射和尖峰传播过程中进行的神经计算的输出。
What is the reason for complex dynamical patterns registered from real biological neuronal networks? Noise and dynamical reconfiguring of a network (functional/dynamic connectome) were proposed as possible answers. In this case study, we report a complex dynamical pattern observed in a simple deterministic network of 25 neurons with fixed connectome. After a short initial stimulation, the network is engaged into a complex dynamics, which lasts for a long time. Eventually, with no external intervention, the dynamics comes to a periodic one with a short period. The long transient is positively checked for being chaotic. We conclude that the complex dynamics observed is the output of neural computation performed in the process of neuronal firings and spikes propagation.
