NEURAL NETWORKS
The Table of Contents for the full book PDF is as follows:
CORTICAL DYNAMICS, HIPPOCAMPUS, AND MEMORY
Spontaneous and Learned Activity in Cortex
Quantitative Modeling of Local Hebbian Reverberations in Primate Cortex
Learning Internal Representations in an Analog Attractor Neutral Network
Functional Significance of Long-Term Potentiation in Recurrent Networks
Cortical Modules for Static Memory Function
Competitive Learning with Realistic Neural Elements and Selective Synaptic Elimination
Quantitative Aspects of Memory that Deserve Experimental Investigation
A Model of the Operation of the Hippocampus and Entorhinal Cortex in Memory
Unification of Hippocampal Function via Computational/Encoding Considerations
Associative Memory and Hippocampal Place Cells
Modelling Spatial Navigation by the Rat Hippocampus
Neuronal Mechanisms Underlying the Interaction between Visual Landmarks and Path Integration in the Rat
The Hippocampal Theta Rhythm and Memory for Temporal Sequences of Events
Kindling of Focal Epilepsy Occurs due to Learning: A Neural Network Model
INFORMATION PROCESSING IN NEURAL NETWORKS
Information Transfer and Transformation by Neural Networks
Information Spectroscopy of Single Neurons
Correcting Measures of Information for Limited Data Samples
Informational and Dynamic Properties of Sparsely Encoded Hopfield-Like Associative Memory
Noisy Information Transmission: A Stability Analysis
Information Transmission by Networks of Non-Linear Neurons
GENERAL ISSUES IN NEURAL NETWORK MODELING
A Bayesian Approach to Learning in Neural Networks
Multiple Cueing of an Associative Net
Predicted Dynamics for Cyclic Cascades of Chaotic Deterministic Automata
A Stereo Matching Network Finding Curved Surfaces from Random-Dot Stereograms
A Neural Network Model for Associative Access of Structures
The Statistical Behaviour of Perceptrons: The Case Study of the Prediction of Protein Secondary Structures
HARDWARE IMPLEMENTATION OF NEURAL NETWORKS
VLSI Neural Network Systems
Review of Hardward Neural Networks: A User’s Perspective
Hardware Implementations as a Tool for Brain Investigation
VLSI Implementation of an Attractor Neural Network with Analogue Neurons and Synapses
APPLICATIONS TO HIGH ENERGY PHYSICS
Neural Networks for Offline Analysis in High Energy Physics
Particle Search with Neural Nets
Application of Neural Networks to the Analysis of HERA Physics with the H1 Apparatus
A Cellular Automaton to Filter Tracks in a Segmented Calorimeter
Robust Tracking by Cellular Automata and Neural Networks
Cooperative Neural System for Particle Classification in a Cosmic Ray Space Experiment
Using a Neural Network in the Search for the Standard Model Higgs Boson
Detection of Weak Signals against Background using Neural Networks Classifiers
