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Emergent Neural Computational Architectures Based on Neuroscience

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Cover of 'Emergent Neural Computational Architectures Based on Neuroscience'

Table of Contents

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    Book Overview
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    Chapter 1 Towards Novel Neuroscience-Inspired Computing
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    Chapter 2 Images of the Mind: Brain Images and Neural Networks
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    Chapter 3 Stimulus-Independent Data Analysis for fMRI
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    Chapter 4 Emergence of Modularity within One Sheet of Neurons: A Model Comparison
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    Chapter 5 Computational Investigation of Hemispheric Specialization and Interactions
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    Chapter 6 Explorations of the Interaction between Split Processing and Stimulus Types
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    Chapter 7 Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization
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    Chapter 8 Biased Competition Mechanisms for Visual Attention in a Multimodular Neurodynamical System
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    Chapter 9 Recurrent Long-Range Interactions in Early Vision
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    Chapter 10 Neural Mechanisms for Representing Surface and Contour Features
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    Chapter 11 Representations of Neuronal Models Using Minimal and Bilinear Realisations
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    Chapter 12 Collaborative Cell Assemblies: Building Blocks of Cortical Computation
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    Chapter 13 On the Influence of Threshold Variability in a Mean-Field Model of the Visual Cortex
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    Chapter 14 Towards Computational Neural Systems through Developmental Evolution
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    Chapter 15 The Complexity of the Brain: Structural, Functional, and Dynamic Modules
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    Chapter 16 Synchronisation, Binding, and the Role of Correlated Firing in Fast Information Transmission
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    Chapter 17 Segmenting State into Entities and Its Implication for Learning
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    Chapter 18 Temporal Structure of Neural Activity and Modelling of Information Processing in the Brain
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    Chapter 19 Role of the Cerebellum in Time-Critical Goal-Oriented Behaviour: Anatomical Basis and Control Principle
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    Chapter 20 Locust Olfaction
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    Chapter 21 Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays
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    Chapter 22 The Role of Brain Chaos
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    Chapter 23 Neural Network Classification of Word Evoked Neuromagnetic Brain Activity
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    Chapter 24 Simulation Studies of the Speed of Recurrent Processing
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    Chapter 25 The Dynamics of Learning and Memory: Lessons from Neuroscience
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    Chapter 26 Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation
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    Chapter 27 Plasticity and Nativism: Towards a Resolution of an Apparent Paradox
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    Chapter 28 Cell Assemblies as an Intermediate Level Model of Cognition
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    Chapter 29 Modelling Higher Cognitive Functions with Hebbian Cell Assemblies
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    Chapter 30 Spiking Associative Memory and Scene Segmentation by Synchronization of Cortical Activity
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    Chapter 31 A Familiarity Discrimination Algorithm Inspired by Computations of the Perirhinal Cortex
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    Chapter 32 Linguistic Computation with State Space Trajectories
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    Chapter 33 Robust Stimulus Encoding in Olfactory Processing: Hyperacuity and Efficient Signal Transmission
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    Chapter 34 Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models?
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    Chapter 35 An Investigation into the Role of Cortical Synaptic Depression in Auditory Processing
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    Chapter 36 Emergent Neural Computational Architectures Based on Neuroscience
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    Chapter 37 Using a Time-Delay Actor-Critic Neural Architecture with Dopamine-Like Reinforcement Signal for Learning in Autonomous Robots
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    Chapter 38 Connectionist Propositional Logic A Simple Correlation Matrix Memory Based Reasoning System
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    Chapter 39 Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
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    Chapter 40 Connectionist Neuroimaging
Overall attention for this book and its chapters
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Citations

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Readers on

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Title
Emergent Neural Computational Architectures Based on Neuroscience
Published by
Springer Berlin Heidelberg, May 2003
DOI 10.1007/3-540-44597-8
ISBNs
978-3-54-042363-8, 978-3-54-044597-5
Editors

Wermter, Stefan, Austin, Jim, Willshaw, David

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 6%
Brazil 1 6%
Korea, Republic of 1 6%
Unknown 13 81%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 25%
Student > Master 4 25%
Student > Ph. D. Student 3 19%
Researcher 2 13%
Other 1 6%
Other 2 13%
Readers by discipline Count As %
Computer Science 8 50%
Engineering 2 13%
Nursing and Health Professions 1 6%
Business, Management and Accounting 1 6%
Psychology 1 6%
Other 3 19%