Titlebook: Biological and Artificial Computation: From Neuroscience to Technology; International Work-C José Mira,Roberto Moreno-Díaz,Joan Cabestany C

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Analysis of synfire chains above saturation,We have studied a population of synfire chains above saturation. By considering a Hebbian-like learning strategy we show that to keep the propagation of activities controlled, the system reorganizes its structure leading to a new set of chains with shorter lengths distributed according to a non-trivial profile.

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Some reflections on the relationships between neuroscience and computation,n the richness and fineness of the nervous phenomenology and the crudeness of the point neuron simplistic models we use in its modeling. This distances neuroscience from computation in an almost irreversible fashion..To contribute to the posing and partially solving of these problems we present in t

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Development of , and , receptive fields using a semistochastic model,om uncorrelated activity is generated in the input layer and propagated through the network. The evolution of the synaptic connections between two neurons are assumed to be a function of their activity, with two interpretations of the Hebb‘s rule: (a) the synaptic weight is modified proportional to

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Interactions between environmental and hormonal oscillations induce plastic changes in a simple neueacts to the environment. Some of the neuronal effects of steroid hormones may be very fast and affect specific membrane conductances or second messenger cascades, while others may last a long time and exert profound influences on gene expression. The cross-talk between these forms of action may be

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