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Titlebook: Artificial Neural Networks — ICANN ’97; 7th International Co Wulfram Gerstner,Alain Germond,Jean-Daniel Nicoud Conference proceedings 1997

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Derivation of pool dynamics from microscopic neuronal models,eurons. The derivation is exact and axonal delays and memory effects such as refractory behavior are taken into account. Simulations show a good quantitative agreement with microscopically modeled pools both in a quasistationary and in a non-stationary dynamical regime including fast transients and
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https://doi.org/10.1007/BFb0020124Controller Area Network (CAN); adaptive systems; agents; artificial neural network; autonomous agents; bi
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978-3-540-63631-1Springer-Verlag Berlin Heidelberg 1997
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162704.jpg
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A comparative study of pattern detection algorithm and dynamical system approach using simulated spc attractors and Poisson processes. We show that both algorithms are able to detect a deterministic activity in the chaotic spike trains and they are tolerant to the presence of noise in input data. A method for noise filtering in input data series is proposed and its application is demonstrated for the simulated data sets.
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Analogue resolution in a model of the Schaffer collaterals, CA3 to the CA1 pyramidal cells within the hippocampus. Here we discuss in particular results from the model on the effect of analogue coding levels in the Schaffer collaterals, and the fact that this depends upon the sparseness of firing rate distributions in the hippocampus.
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