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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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Fiber-Optic Transmission Networksecific to one feature and invariant to another, while a different subpopulation becomes invariant to the first but specific to the second feature. Using a colour image sequence recorded by a camera mounted to a cat’s head, we train a population of neurons to achieve optimally stable responses. We fi
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Fiber-Shaped Integrated Device,ished depending on the network parameters. In one of the regimes noise induces synchronous aperiodic oscillatory activity in the isolated network (regime B). The Coherent Stochastic Resonance phenomena occur. Activity is highly spatially correlated (synchrony), it’s oscillatory on short time scales
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Coordinated Multi-point (CoMP) Systemsynamic synapse. We show that the combination of particular forms of facilitation and depression greatly enhances information transfer at the synapse for high frequency stimuli. These dynamic mechanisms do not enhance the information if present individually. The synaptic model closely matches the beh
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Coordinated Multi-point (CoMP) Systemsctivity and a two-layer excitatory-inhibitory network. Both models reveal identical steady states and instabilities to high firing rates. The two-field model can also loose stability through a Hopf-bifurcation that results in rhythmically modulated tuning widths around 0 to 50Hz. The network behavio
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