Neural Networks

From Biology to High Energy Physics

Proceedings of the Third Workshop

Third Workshop on Neural Networks: From Biology to High Energy Physics

, Isola, d'Elba, Italy

, 26 — 30 September 1994

https://doi.org/10.1142/2953 | October 1995

Pages: 308

Edited by:
D J Amit (Hebrew University of Jerusalem, Israel & University di Roma “La Sapienza”, Italy),
P del Giudice (Italian National Institute of Health, Italy),
B Denby (Italian National Institute for Nuclear Physics, Italy),
E T Rolls (Oxford), and
A Treves (SISSA, Italy)

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ISBN: 978-981-4548-40-3 (ebook) USD 27.00 Add to cart

The papers appearing in this proceedings volume cover a broad range of subjects, owing to the highly cross-disciplinary character of the workshop, and include: experiments and models concerning the dynamics of the neural activity in the cortex (DMS experiments, attractor dynamics in the cortex, spontaneous activity…); hippocampus, space and memory; theoretical advances in neural network modeling; information processing in neural networks; applications of neural networks to experimental physics, particularly to high energy physics; digital and analog hardware implementations of neural networks; etc.

Sample Chapter(s)
Foreword (27 KB)
Spontaneous and Learned Activity in Cortex (266 KB)

Contents:

Cortical Dynamics, Hippocampus, and Memory:
- Spontaneous and Learned Activity in Cortex (D J Amit)
- Quantitative Modeling of Local Hebbian Reverberations in Primate Cortex (N Brunel)
- Functional Significance of Long-Term Potentiation in Recurrent Networks (K I Blum & L F Abbot)
- A Model of the Operation of the Hippocampus and Entorhinal Cortex in Memory (E T Rolls)
- Associative Memory and Hippocampal Place Cells (M Tsodyks & T Sejnowski)
Information Processing in Neural Networks:
- Information Transfer and Transformation by Neural Networks (L F Abbott)
- Information Spectroscopy of Single Neurons (J Hertz et al)
- Information Transmission by Networks of Nonlinear Neurons (J P Nadal & N Parga)
General Issues in Neural Network Modeling:
- A Bayesian Approach to Learning in Neural Networks (S A Solla)
- Multiple Cueing of an Associative Net (M Budinich et al)
Hardware Implementation of Neural Networks:
- VLSI Neural Network Systems (Y Harai)
- Review of Hardward Neural Networks: A User's Perspective (C S Lindsey & T Lindblad)
Applications to High Energy Physics:
- Neural Networks for Offline Analysis in High Energy Physics (A de Angelis)
and other papers

Readership: Researchers in neural networks, computational neuroscience, neurophysiology, data anlaysis in high energy physics and artificial intelligence.

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NEURAL NETWORKS: From Biology to High Energy Physics Proceedings of the Third Workshop

Pages:1–308

https://doi.org/10.1142/9789814531962

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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