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Computational Neuroscience: Cortical Dynamics [electronic resource] : 8th International Summer School on Neural Nets, Erice, Italy, October 31 - November 6, 2003 Revised Lectures /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 3146Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004Edition: 1st ed. 2004Description: IX, 164 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540278627
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 616.8 23
LOC classification:
  • RC346-429.2
Online resources:
Contents:
Section 1 – Fundamentals of Cortical Dynamics -- Dynamics of Storage and Recall in Hippocampal Associative Memory Networks -- On the Nested Hierarchical Organization of CNS: Basic Characteristics of Neuronal Molecular Networks -- Neural Phase Transitions That Made Us Mammals -- Section 2 – Mathematical Models of Cortical Dynamics -- Mean Field Methods for Cortical Network Dynamics -- Chaotic Neuron Dynamics, Synchronization, and Feature Binding -- A Complex Systems Approach to an Interpretation of Dynamic Brain Activity I: Chaotic Itinerancy Can Provide a Mathematical Basis for Information Processing in Cortical Transitory and Nonstationary Dynamics -- A Complex Systems Approach to an Interpretation of Dynamic Brain Activity II: Does Cantor Coding Provide a Dynamic Model for the Formation of Episodic Memory? -- Itinerant Dynamics of Class I* Neurons Coupled by Gap Junctions.
In: Springer Nature eBook
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Section 1 – Fundamentals of Cortical Dynamics -- Dynamics of Storage and Recall in Hippocampal Associative Memory Networks -- On the Nested Hierarchical Organization of CNS: Basic Characteristics of Neuronal Molecular Networks -- Neural Phase Transitions That Made Us Mammals -- Section 2 – Mathematical Models of Cortical Dynamics -- Mean Field Methods for Cortical Network Dynamics -- Chaotic Neuron Dynamics, Synchronization, and Feature Binding -- A Complex Systems Approach to an Interpretation of Dynamic Brain Activity I: Chaotic Itinerancy Can Provide a Mathematical Basis for Information Processing in Cortical Transitory and Nonstationary Dynamics -- A Complex Systems Approach to an Interpretation of Dynamic Brain Activity II: 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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