Coolen A C C, Del Prete V
Department of Mathematics, King's College London, UK.
Rev Neurosci. 2003;14(1-2):181-93. doi: 10.1515/revneuro.2003.14.1-2.181.
We present four 'case study' examples of solvable problems in the theory of recurrent neural networks, which are relevant to our understanding of information processing in the brain, but which are also interesting from a purely statistical mechanical point of view, even at the level of simple models (which helps in stimulating interdisciplinary work). The examples concern issues in network dynamics, network connectivity, spike timing and synaptic plasticity.
我们给出了循环神经网络理论中四个可解问题的“案例研究”示例，这些示例与我们对大脑信息处理的理解相关，但即使从纯统计力学的角度来看，在简单模型层面也很有趣（这有助于激发跨学科研究）。这些示例涉及网络动力学、网络连通性、尖峰时间和突触可塑性等问题。
