Hopfield J J, Herz A V
Division of Biology, California Institute of Technology, Pasadena 91125, USA.
Proc Natl Acad Sci U S A. 1995 Jul 18;92(15):6655-62. doi: 10.1073/pnas.92.15.6655.
The collective behavior of interconnected spiking nerve cells is investigated. It is shown that a variety of model systems exhibit the same short-time behavior and rapidly converge to (approximately) periodic firing patterns with locally synchronized action potentials. The dynamics of one model can be described by a downhill motion on an abstract energy landscape. Since an energy landscape makes it possible to understand and program computation done by an attractor network, the results will extend our understanding of collective computation from models based on a firing-rate description to biologically more realistic systems with integrate-and-fire neurons.
对相互连接的脉冲神经细胞的集体行为进行了研究。结果表明，多种模型系统表现出相同的短时行为，并迅速收敛到（近似）周期性放电模式，且动作电位局部同步。一种模型的动力学可以用抽象能量景观上的下坡运动来描述。由于能量景观使得理解和编程吸引子网络完成的计算成为可能，这些结果将扩展我们对集体计算的理解，从基于放电率描述的模型扩展到具有积分发放神经元的生物学上更现实的系统。
