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Titlebook: Artificial Neural Networks — ICANN 2002; International Confer José R. Dorronsoro Conference proceedings 2002 Springer-Verlag Berlin Heidelb

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Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Videoeness in modeling simple cell receptive field properties. Our results also suggest an interpretation of simple cells in terms of invariant coding principles that have previously been used to explain complex cell receptive fields.
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Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networksxample increasing the excitatory-to-excitatory connection strength) we get spontaneous synchronous and periodic activity, even without noise (regime C). The model is in agreement with the measurements of spontaneous activity of two-dimensional cortical cell neural networks placed on multi-electrode arrays performed by Segev et.al [.].
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Conference proceedings 2002han 240 serving at this year’s ICANN, and 221 papers were ?nally selected for publication in these proceedings (due to space considerations, quite a few good contributions had to be left out). I would like to thank the Program Committee and all the reviewers for the great collective e?ort and for helping us to have a high quality conference.
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Fiber-Optic Transmission Networkseraction between the two channels, that allows a distribution of cortical information related with arm transport channel, to the grasp channel. Computer simulations of the model reproduce basic kinematic features of prehension movement.
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Overview of Standardization for D-RoFces between the inputs result in the activation of the minicolumn with highest input, a feature which shows that a macrocolumn can serve as decision and amplification unit for its inputs. We present a complete analysis of the dynamics along with computer simulations, which support the theoretical results.
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