Titlebook: Dynamic Brain - from Neural Spikes to Behaviors; 12th International S Maria Marinaro,Silvia Scarpetta,Yoko Yamaguchi Textbook 2008 Springer

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Mechanisms for Memory-Guided Behavior Involving Persistent Firing and Theta Rhythm Oscillations in tunderstanding the interaction of populations of neurons, including the cellular properties of neurons in structures such as the entorhinal cortex. Recent data and modeling suggest an important role for cellular mechanisms of persistent spiking and membrane potential oscillations in medial entorhinal

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Encoding and Replay of Dynamic Attractors with Multiple Frequencies: Analysis of a STDP Based Learni analysis to the case of multiple frequencies, showing how the learning rule is able to encode multiple spatio-temporal oscillatory patterns with distributed frequencies as dynamical attractors of the network..After learning, each encoded oscillatory spatio-temporal pattern who satisfy the stability

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Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Dataprogress in recording technology the massively parallel data required to search for such signatures are now becoming available. However, existing statistical analysis tools are severely limited by the combinatorial explosion in the number of spike patterns to be considered. Therefore, population mea

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Comparing Kurtosis Score to Traditional Statistical Metrics for Characterizing the Structure in Neurizing a novel application of statistical measures and visualization techniques. One thousand spiking neurons were simulated, systematically varying the strength of excitation and inhibition, and the traditional measures of spike distributions – spike count, ISI-CV, and Fano factor – were compared. W

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Pioneeristic Works on Neuronal Nets: A Short History nervous conduction, introduced by the psychologists Max Meyer and Edward Thorndike, is described. The new ideas on the mechanization of thought processes, carried out in the Cybernetic Age are commented and some models of neuronal nets based on these ideas are reported. Finally, a system of coupled

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Improving Recall in an Associative Neural Network of Spiking Neuronsain using associative neural networks have lacked biological complexity. Using a network of biologically plausible spiking neurons we examine associative memory function against results for a simple artificial neural net [5]. We investigate implementations of methods for improving recall under biolo