Ebook: Theory and Applications of Neural Networks: Proceedings of the First British Neural Network Society Meeting, London

This volume contains the papers from the first British Neural Network Society meeting held at Queen Elizabeth Hall, King's College, London on 18--20 April 1990. The meeting was sponsored by the London Mathemati­ cal Society. The papers include introductory tutorial lectures, invited, and contributed papers. The invited contributions were given by experts from the United States, Finland, Denmark, Germany and the United Kingdom. The majority of the contributed papers came from workers in the United Kingdom. The first day was devoted to tutorials. Professor Stephen Grossberg was a guest speaker on the first day giving a thorough introduction to his Adaptive Resonance Theory of neural networks. Subsequent tutorials on the first day covered dynamical systems and neural networks, realistic neural modelling, pattern recognition using neural networks, and a review of hardware for neural network simulations. The contributed papers, given on the second day, demonstrated the breadth of interests of workers in the field. They covered topics in pattern recognition, multi-layer feedforward neural networks, network dynamics, memory and learning. The ordering of the papers in this volume is as they were given at the meeting. On the final day talks were given by Professor Kohonen (on self organising maps), Professor Kurten (on the dynamics of random and structured nets) and Professor Cotterill (on modelling the visual cortex). Dr A. Mayes presented a paper on various models for amnesia. The editors have taken the opportunity to include a paper of their own which was not presented at the meeting.

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This volume contains the papers presented at the first British Neural Network Society Meeting (NMC '90) held at King's College London, on 18-20 April 1990. The meeting was sponsored by the London Mathematical Society. The papers include introductory tutorial lectures, invited, and contributed papers. The invited contributions were given by experts from the USA, Finland, Denmark, Germany and the UK. The first day was devoted to tutorials. Professor Stephen Grossberg (Boston University) was a guest speaker on the first day, giving a thorough introduction to his adaptive resonance theory of neural networks. Subsequent tutorials covered dynamical systems and neural networks, realistic neural modelling, pattern recognition using neural networks, and a review of hardware for neural network simulations. The contributed papers, given on the second day, demonstrated the breadth of interests of workers in the field. They covered topics in pattern recognition, multi-layer feedforward neural networks, network dynamics, memory, and learning. On the final day, talks were given by Professor Kohonen (on self organising maps), Professor K?rten (on the dynamics of random and structured nets) and Professor Cotterill (on modelling the visual cortex). Dr. Mayes presented a paper on various models for amnesia. The ordering of the papers in this volume is as they were given at the meeting and the editors have taken the opportunity to include a paper of their own which was not presented.

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This volume contains the papers presented at the first British Neural Network Society Meeting (NMC '90) held at King's College London, on 18-20 April 1990. The meeting was sponsored by the London Mathematical Society. The papers include introductory tutorial lectures, invited, and contributed papers. The invited contributions were given by experts from the USA, Finland, Denmark, Germany and the UK. The first day was devoted to tutorials. Professor Stephen Grossberg (Boston University) was a guest speaker on the first day, giving a thorough introduction to his adaptive resonance theory of neural networks. Subsequent tutorials covered dynamical systems and neural networks, realistic neural modelling, pattern recognition using neural networks, and a review of hardware for neural network simulations. The contributed papers, given on the second day, demonstrated the breadth of interests of workers in the field. They covered topics in pattern recognition, multi-layer feedforward neural networks, network dynamics, memory, and learning. On the final day, talks were given by Professor Kohonen (on self organising maps), Professor K?rten (on the dynamics of random and structured nets) and Professor Cotterill (on modelling the visual cortex). Dr. Mayes presented a paper on various models for amnesia. The ordering of the papers in this volume is as they were given at the meeting and the editors have taken the opportunity to include a paper of their own which was not presented.
Content:
Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Self-Organizing Cortical Networks for Distributed Hypothesis Testing and Recognition Learning....Pages 3-27
Front Matter....Pages 29-29
Dynamical Systems and Artificial Neural Networks....Pages 31-76
Neural Modelling....Pages 77-100
Self-Organising Neural Maps and their Applications....Pages 101-118
Front Matter....Pages 119-119
The Application of Topological Mapping in the Study of Human Cerebral Tumours....Pages 121-124
Reliable Memory from Unreliable Components....Pages 125-128
Possible Strategies for Using Sleep to Improve Episodic Memory in the Face of Overlap....Pages 129-138
Curvature-Driven Smoothing in Backpropagation Neural Networks....Pages 139-148
A spontaneously growing network for unsupervised learning....Pages 149-163
Virtual Connectivity through Structural Dissipation; Parallel Distributed Computation with Local Connectivity....Pages 164-179
Temporally Processing Neural Networks for Morse Code Recognition....Pages 180-197
Dynamics of Binary Networks with Extended Time-Summation....Pages 198-210
Training Strategies for Probabilistic RAMs....Pages 211-217
Computer Simulations of Recurrent Neural Nets for Temporal Recognition Problems....Pages 218-231
Front Matter....Pages 233-233
Learning Vector Quantisation and the Self Organising Map....Pages 235-242
Nature of the Functional Loss in Amnesia: Possible Role for a Highly Structured Neural Network....Pages 243-260
Activity Patterns in Cortical Minicolumns....Pages 261-273
Dynamics and Memory in Random and Structured Neural Networks....Pages 274-282
Front Matter....Pages 283-283
Coupled Excitable Cells....Pages 285-305

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This volume contains the papers presented at the first British Neural Network Society Meeting (NMC '90) held at King's College London, on 18-20 April 1990. The meeting was sponsored by the London Mathematical Society. The papers include introductory tutorial lectures, invited, and contributed papers. The invited contributions were given by experts from the USA, Finland, Denmark, Germany and the UK. The first day was devoted to tutorials. Professor Stephen Grossberg (Boston University) was a guest speaker on the first day, giving a thorough introduction to his adaptive resonance theory of neural networks. Subsequent tutorials covered dynamical systems and neural networks, realistic neural modelling, pattern recognition using neural networks, and a review of hardware for neural network simulations. The contributed papers, given on the second day, demonstrated the breadth of interests of workers in the field. They covered topics in pattern recognition, multi-layer feedforward neural networks, network dynamics, memory, and learning. On the final day, talks were given by Professor Kohonen (on self organising maps), Professor K?rten (on the dynamics of random and structured nets) and Professor Cotterill (on modelling the visual cortex). Dr. Mayes presented a paper on various models for amnesia. The ordering of the papers in this volume is as they were given at the meeting and the editors have taken the opportunity to include a paper of their own which was not presented.
Content:
Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Self-Organizing Cortical Networks for Distributed Hypothesis Testing and Recognition Learning....Pages 3-27
Front Matter....Pages 29-29
Dynamical Systems and Artificial Neural Networks....Pages 31-76
Neural Modelling....Pages 77-100
Self-Organising Neural Maps and their Applications....Pages 101-118
Front Matter....Pages 119-119
The Application of Topological Mapping in the Study of Human Cerebral Tumours....Pages 121-124
Reliable Memory from Unreliable Components....Pages 125-128
Possible Strategies for Using Sleep to Improve Episodic Memory in the Face of Overlap....Pages 129-138
Curvature-Driven Smoothing in Backpropagation Neural Networks....Pages 139-148
A spontaneously growing network for unsupervised learning....Pages 149-163
Virtual Connectivity through Structural Dissipation; Parallel Distributed Computation with Local Connectivity....Pages 164-179
Temporally Processing Neural Networks for Morse Code Recognition....Pages 180-197
Dynamics of Binary Networks with Extended Time-Summation....Pages 198-210
Training Strategies for Probabilistic RAMs....Pages 211-217
Computer Simulations of Recurrent Neural Nets for Temporal Recognition Problems....Pages 218-231
Front Matter....Pages 233-233
Learning Vector Quantisation and the Self Organising Map....Pages 235-242
Nature of the Functional Loss in Amnesia: Possible Role for a Highly Structured Neural Network....Pages 243-260
Activity Patterns in Cortical Minicolumns....Pages 261-273
Dynamics and Memory in Random and Structured Neural Networks....Pages 274-282
Front Matter....Pages 283-283
Coupled Excitable Cells....Pages 285-305
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