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Emergent neural computational architectures based on neuroscience : towards neuroscience-inspired computing

Emergent neural computational architectures based on neuroscience : towards neuroscience-inspired computing

Material type
단행본
Personal Author
Wermter, Stefan. Austin, James , 1959- Willshaw, David J.
Title Statement
Emergent neural computational architectures based on neuroscience : towards neuroscience-inspired computing / Stefan Wermter, Jim Austin, David Willshaw (Eds).
Publication, Distribution, etc
Berlin ;   New York :   Springer,   2001.  
Physical Medium
x, 576 p. : ill. ; 24 cm.
Series Statement
Lecture notes in computer science ; Lecture notes in artificial intelligence 2036.
ISBN
354042363X (soft cover : alk. paper)
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Computer architecture. Neural computers. Neural networks (Computer science)
000 01233camuu2200301 a 4500
001 000001064934
005 20011030111741
008 010703s2001 gw a b 001 0 eng
020 ▼a 354042363X (soft cover : alk. paper)
040 ▼a DLC ▼c DLC ▼d DLC ▼d 244002
042 ▼a pcc
049 0 ▼l 151105984
050 0 0 ▼a QA76.9.A73 ▼b E57 2001
082 0 0 ▼a 006.3/2 ▼2 21
090 ▼a 006.32 ▼b E53
245 0 0 ▼a Emergent neural computational architectures based on neuroscience : ▼b towards neuroscience-inspired computing / ▼c Stefan Wermter, Jim Austin, David Willshaw (Eds).
260 ▼a Berlin ; ▼a New York : ▼b Springer, ▼c 2001.
300 ▼a x, 576 p. : ▼b ill. ; ▼c 24 cm.
490 1 ▼a Lecture notes in computer science ; ▼v 2036. ▼a Lecture notes in artificial intelligence
504 ▼a Includes bibliographical references and index.
650 0 ▼a Computer architecture.
650 0 ▼a Neural computers.
650 0 ▼a Neural networks (Computer science)
700 1 ▼a Wermter, Stefan.
700 1 ▼a Austin, James , ▼d 1959-
700 1 ▼a Willshaw, David J.
830 0 ▼a Lecture notes in computer science ; ▼v 2036.
830 0 ▼a Lecture notes in computer science. ▼p Lecture notes in artificial intelligence.

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Sejong Academic Information Center/Science & Technology/ Call Number 006.32 E53 Accession No. 151105984 Availability Available Due Date Make a Reservation Service C

Contents information

Table of Contents

Towards Novel Neuroscience-Inspired Computing.- Towards Novel Neuroscience-Inspired Computing.- Modular Organisation and Robustness.- Images of the Mind: Brain Images and Neural Networks.- Stimulus-Independent Data Analysis for fMRI.- Emergence of Modularity within One Sheet of Neurons: A Model Comparison.- Computational Investigation of Hemispheric Specialization and Interactions.- Explorations of the Interaction between Split Processing and Stimulus Types.- Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization.- Biased Competition Mechanisms for Visual Attention in a Multimodular Neurodynamical System.- Recurrent Long-Range Interactions in Early Vision.- Neural Mechanisms for Representing Surface and Contour Features.- Representations of Neuronal Models Using Minimal and Bilinear Realisations.- Collaborative Cell Assemblies: Building Blocks of Cortical Computation.- On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex.- Towards Computational Neural Systems through Developmental Evolution.- The Complexity of the Brain: Structural, Functional, and Dynamic Modules.- Timing and Synchronisation.- Synchronisation, Binding, and the Role of Correlated Firing in Fast Information Transmission.- Segmenting State into Entities and Its Implication for Learning.- Temporal Structure of Neural Activity and Modelling of Information Processing in the Brain.- Role of the Cerebellum in Time-Critical Goal-Oriented Behaviour: Anatomical Basis and Control Principle.- Locust Olfaction.- Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays.- The Role of Brain Chaos.- Neural Network Classification of Word Evoked Neuromagnetic Brain Activity.- Simulation Studies of the Speed of Recurrent Processing.- Learning and Memory Storage.- The Dynamics of Learning and Memory: Lessons from Neuroscience.- Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation.- Plasticity and Nativism: Towards a Resolution of an Apparent Paradox.- Cell Assemblies as an Intermediate Level Model of Cognition.- Modelling Higher Cognitive Functions with Hebbian Cell Assemblies.- Spiking Associative Memory and Scene Segmentation by Synchronization of Cortical Activity.- A Familiarity Discrimination Algorithm Inspired by Computations of the Perirhinal Cortex.- Linguistic Computation with State Space Trajectories.- Robust Stimulus Encoding in Olfactory Processing: Hyperacuity and Efficient Signal Transmission.- Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models?.- An Investigation into the Role of Cortical Synaptic Depression in Auditory Processing.- The Role of Memory, Anxiety, and Hebbian Learning in Hippocampal Function: Novel Explorations in Computational Neuroscience and Robotics.- Using a Time-Delay Actor-Critic Neural Architecture with Dopamine-Like Reinforcement Signal for Learning in Autonomous Robots.- Connectionist Propositional Logic A Simple Correlation Matrix Memory Based Reasoning System.- Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources.- Connectionist Neuroimaging.


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