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Titlebook: Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence; 6th International Wo José Mira,Alberto Prieto Conference

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Strategies for the Optimization of Large Scale Networks of Integrate and Fire Neuronsre discussed such as the current limits of real time (largest network that can be simulated in real time) and the computational convenience of mean-field approximations. We conclude that the simulation of large models of I & F neurons in real time is feasible within the current technology.
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https://doi.org/10.1007/978-1-4020-6391-6reasing coupling conductance between the elements of the networks leads to the homogeneity of the fast electrical events. We use both experimental data obtained from normal and transgenic animal cells and computational cells and networks to study the implications of coupling strength in the homogeneity of the electrical response.
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Theory of Turbomachinery Stagescated and also developed realistic computational models to test the hypothesis and study the cuneate properties [.],[.]. The results show that the cuneate could perform spatial and temporal filtering and therefore detect dynamic edges.
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Losses in Turbine and Compressor Cascades,ers to NK. and muscarinic receptor subtypes located on the postsynaptic membrane. The simulations reproduce the electrophysiological and pharmacodynamical behaviors that observed in natural experiments.
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https://doi.org/10.1007/978-1-4615-2586-8ations significantly increases from awake state to slow wave sleep..The results show that these new approaches succeed in disclosing the distinct connectivity patterns among neuronal assemblies conforming the cortical brain, thus stressing their ability in analyzing the functioning of the brain.
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