Dynamic brain - from neural spikes to behaviors : 12th International Summer School on Neural Networks, Erice, Italy, December 5-12, 2007, revised lectures / Maria Marinaro, Silvia Scarpetta, Yoko Yamaguchi, eds.
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 lecture...
Saved in:
| Main Authors: | , , |
|---|---|
| Corporate Author: | |
| Format: | Ebook |
| Language: | English |
| Published: |
Berlin :
Springer-Verlag,
[2008]
|
| Series: | Lecture notes in computer science ;
5286. LNCS sublibrary. Theoretical computer science and general issues. |
| Subjects: | |
| Online Access: | Springer eBooks |
Table of Contents:
- Hippocampus 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.