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Titlebook: Advances in Neural Networks - ISNN 2006; Third International Jun Wang,Zhang Yi,Hujun Yin Conference proceedings 2006 Springer-Verlag Berli

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https://doi.org/10.1007/978-1-4612-4904-7etwork. The energy function always has only one stationary point which is a saddle point in the unconstrained space when the total conductance of neuron’s input is zero (.. = 0). However, the stationary points exist only inside the hypercube R. ∈[0,1] when the total conductance of neuron’s input is
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Coding for Interference Channelsce results by using the theory of monotone dynamical systems. We also show that under certain conditions, reversing the directions of the coupling between neurons preserves the global convergence of neural networks.
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Implementing CIM: A Vendor Perspectivew inequalities, some new criteria concerning global exponential stability for a class of generalized neural networks with time-varying delays are obtained, which only depend on physical parameters of neural networks. Since these new criteria do not require the activation functions to be differentiab
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978-3-540-34439-1Springer-Verlag Berlin Heidelberg 2006
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https://doi.org/10.1007/978-3-319-66628-0ccelerating computation, in the sense that the input strength is linearly encoded by the number of neurons firing in a short-time window, and that the neural system can use a simple strategy to read out the stimulus rapidly and accurately.
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