Computational Neuroscience: Cortical Dynamics: 8th International Summer School on Neural Nets, Erice, Italy, October 31 - November 6, 2003 Revised Lectures
Springer Science & Business Media, Aug 3, 2004 - Computers - 160 pages
This volume contains invited and contributed papers presented at the eighth edition of the International Summer School on Neural Networks, dedicated to Prof.EduardoR.Caianiello.Theschoolwasestablishedin1996byProf.Antonio Zichichi, director of the Ettore Maiorana Centre for Scienti?c Culture in Erice (Sicily), and Prof. Maria Marinaro, director of the International Institute for Advanced Scienti?c Studies in Vietri sul Mare, in Italy. The school is held each year, alternatingbetweenEriceandVietri, proposingsurveysonseveralresearch ?elds related to cybernetics studies and human-machine interaction. The eighth edition of the school was on cortical dynamics and was held in Erice. The contributions collected in this book are aimed at providing primarily high-level tutorial coverage of the ?elds related to cortical dynamics, repo- ing recent experimental and theoretical results investigating the processing, the transmission, and the imprinting of information in the brain, and important functions of the cortical area such as cortical rhythms, cortical neural plasticity, and their structural basis and functional signi?cance. Height surveys, reporting the most recent original results, are o?ered by specialists in the ?eld. Consequently, the volume may be used as a reference book on models of cortical dynamics from neuroscienceand physics. To this aim the volume is divided into two sections: fundamentals of cortical dynamics, and mathematical models of cortical dynamics.
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Dynamics of Storage and Recall in Hippocampal Associative Memory Networks
Basic Characteristics of Neuronal Molecular Networks
Neural Phase Transitions That Made Us Mammals
Mean Field Methods for Cortical Network Dynamics
Chaotic Neuron Dynamics Synchronization and Feature Binding
Chaotic Itinerancy Can Provide a Mathematical Basis for Information Processing in Cortical Transitory and Nonstationary Dynamics
Does Cantor Coding Provide a Dynamic Model for the Formation of Episodic Memory?
Itinerant Dynamics of Class I Neurons Coupled by Gap Junctions
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action potentials activity afferent associative memory autoassociative axons behavior bifurcation BPAP brain calcium Cantor coding Cantor set cellular chaotic dynamical chaotic itinerancy cholinergic circuits class I neurons complex computational connections cortex Cortical Dynamics coupled by GJs dendritic tree dentate gyrus dynamical systems episodic memory equations excitatory Fano factor firing fluctuations frequency GABAergic gap junction GJ-coupled GPCRs Hasselmo hierarchic hippocampus inhibition inhibitory input interactions interneurons invariant set ion channels layer learning Lyapunov exponent mathematical mean field theory mechanism membrane potential Milnor attractor modulation molecular networks molecules Morris-Lecar neocortex neural network Neurosci NMDA receptors noise orbits oscillations parameter pathways pattern phase Phys postsynaptic properties proteins pyramidal cells quantum random recurrent collaterals resonance role saddle saddle-node sensory sequence signals simulations spatial spatio-temporal chaos spike trains storage and recall structure studies synaptic plasticity synchronized temporal theta cycle threshold tion transitions transitory dynamics Tsuda voltage