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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): Érdi, Péter [editor.] | Esposito, Anna [editor.] | Marinaro, Maria [editor.] | Scarpetta, Silvia [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 3146Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.Description: IX, 164 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540278627.Subject(s): Medicine | Neurosciences | Neurology | Computer memory systems | Computers | Computer science -- Mathematics | Artificial intelligence | Medicine & Public Health | Neurology | Computation by Abstract Devices | Artificial Intelligence (incl. Robotics) | Memory Structures | Symbolic and Algebraic Manipulation | NeurosciencesOnline resources: Click here to access online
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 eBooks
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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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