Borrow it
Coverart for item
The Resource 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

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
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
Language
eng
Work
Publication
Extent
1 online resource.
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
Isbn
9783540278627
Instance
Label
Computational Neuroscience: Cortical Dynamics : 8th International Summer School on Neural Nets, Erice, Italy, October 31-November 6, 2003, Revised Lectures
Title
Computational Neuroscience: Cortical Dynamics
Title remainder
8th International Summer School on Neural Nets, Erice, Italy, October 31-November 6, 2003, Revised Lectures
Statement of responsibility
edited by Per rdi, Anna Esposito, Maria Marinaro, Silvia Scarpetta
Contributor
Subject
Language
eng
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
Member of
Cataloging source
DKDLA
Dewey number
004.0151
Index
no index present
Language note
English
LC call number
QA75.5-76.95
Literary form
non fiction
Nature of contents
  • dictionaries
  • standards specifications
http://library.link/vocab/relatedWorkOrContributorName
  • Rdi, Per
  • Esposito, Anna
  • Marinaro, M
  • Scarpetta, Silvia
Series statement
Lecture Notes in Computer Science
Series volume
3146,
http://library.link/vocab/subjectName
  • Computer science
  • Neurosciences
  • Memory management (Computer science)
  • Algebra
  • 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
  • Anatomy
  • Investigative Techniques
  • Prosencephalon
  • Brain
  • Central Nervous System
  • Algebra
  • Artificial intelligence
  • Computer science
  • Memory management (Computer science)
  • Neurobiology
  • Neurosciences
Label
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
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
768065491
Extent
1 online resource.
Form of item
online
Isbn
9783540278627
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/b99370
Specific material designation
remote
System control number
(OCoLC)768065491
Label
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
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Control code
768065491
Extent
1 online resource.
Form of item
online
Isbn
9783540278627
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/b99370
Specific material designation
remote
System control number
(OCoLC)768065491

Subject

Member of

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012

Library Links

Structured data from the Bibframe namespace is licensed under the Creative Commons Attribution 4.0 International License by University of Missouri Libraries. Additional terms may apply to data associated with third party namespaces.
Processing Feedback ...