By Reinhard Eckhorn (auth.), Bert Kappen, Stan Gielen (eds.)
Neural networks is a box of study which has loved quick enlargement in either the educational and business examine groups. This quantity includes papers offered on the 3rd Annual SNN Symposium on Neural Networks to be held in Nijmegen, The Netherlands, 14 - 15 September 1995. The papers are divided into sections: the 1st supplies an summary of latest advancements in neurobiology, the cognitive sciences, robotics, imaginative and prescient and knowledge modelling. the second one provides operating neural community suggestions to actual business difficulties, together with approach keep an eye on, finance and advertising. The ensuing quantity supplies a finished view of the state-of-the-art in 1995 and should offer crucial examining for postgraduate scholars and academic/industrial researchers.
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Extra resources for Neural Networks: Artificial Intelligence and Industrial Applications: Proceedings of the Third Annual SNN Symposium on Neural Networks, Nijmegen, The Netherlands, 14–15 September 1995
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A pulse packet is a probabilistic description of the activity of a group of neurons, represented by a pulse density function p (t). This pulse density function is determined by two parameters: the activity a, defining the number of active neurons p(t) in a group and the width (T, defining the temporal dispersion of the group activity (Fig. 1). This parametric description of synfire activity provides a conceptual framework that allows us to derive an appropriate neural transmission function and, thereby, to enhance our analytical insight into the
Vision Research, in press, 1995 [5J K Kopecz. Dynamic neural representations provide a theoretical framework to understand saccadic motor programming. Submitted, 1995 [6J G Schoner and W Erlhagen. Dynamic neural field theory of motor programming. Submitted, 1995 Acknowledgements: We acknowledge grants from the European Communities (ERB4001GT931013) and the German Science Foundation (DFG, KOGNET). Recording from Foveal Striate Cortex while the Monkey is Looking at the Stimulus J. Kruger , 1. Bondar, H.
By assuming vanishing signal delays and a linear summation of synaptic inputs, the current Ii (t) into cell i is then given by Ij(t) =L Ii j 6(t - t'J) + Irt(t) . (2) jJn The t'J are the times at which neuron j generates an action potential, Iij represents the strength of the synaptic connection from neuron j to neuron i, and Ir t (t) denotes an external input current. If synaptic (or dendritic) time constants of the biological neurons to be modeled are much longer than the duration of action potentials, a cell triggered by an action potential of another cell fires as soon as its membrane potential reaches the threshold; the remaining synaptic current is integrated afterward.