Computational Neuroscience: Cortical Dynamics : 8th International Summer School on Neural Nets, Erice, Italy, October 31-November 6, 2003, Revised Lectures / edited by Per rdi, Anna Esposito, Maria Marinaro, Silvia Scarpetta.

Contributor(s): Rdi, Per | Esposito, Anna | Marinaro, Maria | Scarpetta, Silvia
Material type: TextTextSeries: SerienbezeichnungLecture notes in computer science: 3146,Publisher: Berlin ; Heidelberg : Springer-Verlag Berlin Heidelberg, 2004Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540278627; 3540278621; 3540225668; 9783540225669Subject(s): Computer science | Neurosciences | Memory management (Computer science) | Algebra -- Data processing | Artificial intelligence | Neurobiology | Neural Networks, Computer | Cerebral Cortex | Computer Simulation | Nerve Net | Models, Neurological | Mathematical Concepts | Cerebrum | Models, Biological | Computing Methodologies | Nervous System | Pattern Recognition, Automated | Artificial Intelligence | Information Science | Models, Theoretical | Telencephalon | Phenomena and Processes | Anatomy | Investigative Techniques | Prosencephalon | Brain | Analytical, Diagnostic and Therapeutic Techniques and Equipment | Central Nervous System | Algebra -- Data processing | Artificial intelligence | Computer science | Memory management (Computer science) | Neurobiology | NeurosciencesGenre/Form: Electronic books. Additional physical formats: Print version:: Cortical Dynamics : 8th International Summer School on Neural Nets, Erice, Italy, October 31-November 6, 2003, Revised Lectures.DDC classification: 004.0151 LOC classification: QA75.5-76.95Online 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.
Summary: This book presents thoroughly revised tutorial papers based on lectures given by leading researchers at the 8th International Summer School on Neural Networks in Erice, Italy, in October/November 2003. The eight tutorial papers presented provide competent coverage of the field of cortical dynamics, consolidating recent theoretical and experimental results on the processing, transmission, and imprinting of information in the brain as well as on important functions of the cortical area, such as cortical rhythms, cortical neural plasticity, and their structural basis and functional significance. The book is divided in two topical sections on fundamentals of cortical dynamics and mathematical models of cortical dynamics.
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This book presents thoroughly revised tutorial papers based on lectures given by leading researchers at the 8th International Summer School on Neural Networks in Erice, Italy, in October/November 2003. The eight tutorial papers presented provide competent coverage of the field of cortical dynamics, consolidating recent theoretical and experimental results on the processing, transmission, and imprinting of information in the brain as well as on important functions of the cortical area, such as cortical rhythms, cortical neural plasticity, and their structural basis and functional significance. The book is divided in two topical sections on fundamentals of cortical dynamics and mathematical models of cortical dynamics.

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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