Dynamic Brain - from Neural Spikes to Behaviors

1. Front Matter

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2. Hippocampus and Neural Oscillations

   1. The Brain Computation Based on Synchronization of Nonlinear Oscillations: On Theta Rhythms in Rat Hippocampus and Human Scalp EEG

      • Yoko Yamaguchi

      Pages 1-12

   2. Theta Phase Coding in Human Hippocampus: A Combined Approach of a Computational Model and Human Brain Activity Analyses

      • Naoyuki Sato

      Pages 13-27

   3. Mechanisms for Memory-Guided Behavior Involving Persistent Firing and Theta Rhythm Oscillations in the Entorhinal Cortex

      • Michael E. Hasselmo, Lisa M. Giocomo, Mark P. Brandon, Motoharu Yoshida

      Pages 28-37

   4. Encoding and Replay of Dynamic Attractors with Multiple Frequencies: Analysis of a STDP Based Learning Rule

      • Silvia Scarpetta, Masahiko Yoshioka, Maria Marinaro

      Pages 38-60

   5. A Biophysical Model of Cortical Up and Down States: Excitatory-Inhibitory Balance and H-Current

      • Zaneta Navratilova, Jean-Marc Fellous

      Pages 61-66

3. Dynamics in Olfactory System and Behaviour

   1. Dynamical Architecture of the Mammalian Olfactory System

      • Leslie M. Kay

      Pages 67-90

   2. From Behaviour to Brain Dynamics

      • Allen Cheung

      Pages 91-95

4. Correlation Structure of Spiking Trains

   1. Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data

      • Sonja Grün, Moshe Abeles, Markus Diesmann

      Pages 96-114

   2. Comparing Kurtosis Score to Traditional Statistical Metrics for Characterizing the Structure in Neural Ensemble Activity

      • Peter Stratton, Janet Wiles

      Pages 115-122

5. Neural Network Theories on Associative Memory

   1. Pioneeristic Works on Neuronal Nets: A Short History

      • Maria Marinaro

      Pages 123-130

   2. Place-Field and Memory Formation in the Hippocampus

      • Gergely Papp

      Pages 131-136

   3. Improving Recall in an Associative Neural Network of Spiking Neurons

      • Russell Hunter, Stuart Cobb, Bruce P. Graham

      Pages 137-141

6. Back Matter

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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 aboutbrain 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

• Cortex
• associative memory
• behavior
• biocomputing
• brain-like computing
• complex systems
• computational modeling
• cortical dynamics
• cybernetics
• dynamic systems
• grid cells
• linear optimization
• neural networks
• neurons
• spiking neurons

• Dipartimento di Fisica “E.R. Caianiello”, Università degli Studi di Salerno, Baronissi (SA), Italy

  Maria Marinaro, Silvia Scarpetta

• Laboratory for Dynamics of Emergent Intelligence, RIKEN Brain Science Institute, Saitama, Japan

  Yoko Yamaguchi

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