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Dynamic Brain - from Neural Spikes to Behaviors

12th International Summer School on Neural Networks, Erice, Italy, December 5-12,2007, Revised Lectures, Lecture Notes in Computer Science 5286 - Theoretical Computer Science and General Issues
ISBN/EAN: 9783540888529
Umbreit-Nr.: 4380656

Sprache: Englisch
Umfang: viii, 143 S.
Format in cm:
Einband: kartoniertes Buch

Erschienen am 23.10.2008
Auflage: 1/2008
€ 39,54
(inklusive MwSt.)
Lieferbar innerhalb 1 - 2 Wochen
  • Zusatztext
    • This volume contains invited and contributed papers presented at the 12th edition of the International Summer School on Neural Networks "Eduardo R. Caianiello," co-organized by the RIKEN BSI (Japan) and the Department of Physics of the U- versity of Salerno (Italy). The 12th edition of the school was directed by Maria Marinaro (University of Salerno), Silvia Scarpetta (University of Salerno) and Yoko Yamaguchi (RIKEN BSI Japan) and hosted in the Ettore Majoranca Center in Erice in Italy. The contributions collected in this book are aimed at providing primarily high-level tutorial coverage of the fields related to neural dynamics, reporting recent experim- tal and theoretical results investigating the role of collective dynamics in hippocampal and parahippocampal regions and in the mammalian olfactory system. This book is devoted to graduate students and researchers with different scientific background (including physics, mathematics, biology, neuroscience, etc.) who wish to learn about brain science beyond the boundary of their fields. Each lecture aimed to include basic guidance in each field. Topics of lectures include the hippocampus and entorhinal cortex dynamics and mammalian olfactory system dynamics, memory and phase coding, mechanisms for spatial navigation and for episodic memory function, oscillations in neural assemblies, cortical up and down states, and related topics where frontier efforts in recent decades have been successfully linked to a remarkable evolution of the field. April 2008 M. Marinaro S. Scarpetta Y. Yamaguchi
  • Kurztext
    • This book is devoted to graduate students and researchers with different scientific background (including physics, mathematics, biology, neuroscience, etc.) who wish to learn brain science beyond the boundary of their fields. The volume presents 12 thoroughly revised tutorial papers based on lectures given by leading researchers at the 12th International Summer School on Neural Networks in Erice, Italy, in December 2007. The 12 invited and contributed papers presented provide primarily high-level tutorial coverage of the fields related to neuraldynamics, reporting recent experimental and theoretical results investigating the role of collective dynamics in hippocampal and parahippocampal regions and in the mammalian olfactory system. The book is divided into topical sections on hippocampus and neural oscillations, dynamics in olfactory system and behaviour, correlation structure of spiking trains, and neural network theories on associative memory.
  • Autorenportrait
    • InhaltsangabeHippocampus and Neural Oscillations.- The Brain Computation Based on Synchronization of Nonlinear Oscillations: On Theta Rhythms in Rat Hippocampus and Human Scalp EEG.- Theta Phase Coding in Human Hippocampus: A Combined Approach of a Computational Model and Human Brain Activity Analyses.- Mechanisms for Memory-Guided Behavior Involving Persistent Firing and Theta Rhythm Oscillations in the Entorhinal Cortex.- Encoding and Replay of Dynamic Attractors with Multiple Frequencies: Analysis of a STDP Based Learning Rule.- A Biophysical Model of Cortical Up and Down States: Excitatory-Inhibitory Balance and H-Current.- Dynamics in Olfactory System and Behaviour.- Dynamical Architecture of the Mammalian Olfactory System.- From Behaviour to Brain Dynamics.- Correlation Structure of Spiking Trains.- Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data.- Comparing Kurtosis Score to Traditional Statistical Metrics for Characterizing the Structure in Neural Ensemble Activity.- Neural Network Theories on Associative Memory.- Pioneeristic Works on Neuronal Nets: A Short History.- Place-Field and Memory Formation in the Hippocampus.- Improving Recall in an Associative Neural Network of Spiking Neurons.