Neural Networks: From Biology to High Energy Physics - Proceedings of the 2nd Workshop

Benhar, Omar (EDT)/ Giudice, Paolo Del (EDT)/ Bosio, Carlo (EDT)

World Scientific Publishing Co Pte Ltd（1993/10発売）

• 製本 Hardcover:ハードカバー版／ページ数 356 p.
• 言語 ENG
• 商品コード 9789810212537
• DDC分類 006.3

Full Description

Neural network models, in addition to being of intrinsic theoretical interest, have also proved to be a useful framework in which issues in theoretical biology can be put into perspective. These issues include, amongst others, modelling the activity of the cortex and the study of protein folding. More recently, neural network models have been extensively investigated as tools for data analysis in high energy physics experiments. These workshop proceedings reflect the strongly interdisciplinary character of the field and provide an updated overview of recent developments.

Contents

Dynamics of coherence in cortical neural activity, A. Aertsen; "Social" behaviour of CNS neurons, E. Alleva; learning scenarios - computations and constraints, D. Amit; minimum entropy coding as a design principle for sensory processing, J. Atick; mathematical theory of early stages of protein folding, H. Bohr; interpretation of the cerebellum cortex as a sequence in sequence out device, V. Braitenberg; modelling chemical modulation of neuron processes, A. Coolen; quark sensitivity of the mammalian cortex - theoretical foundations, B. Denby; practical problems using neural networks, F. Fogelman; measuring neuronal information transmission with neural networks, J. Hertz; drifting chambers tracking with a VLSI neural network, C. Lindsey; plasticity and development of the brain, L. Maffei; information processing by a perception, N. Parga; neural network trigger in the H1 experiment, P. Ribarics; capacity control in classifiers for pattern recognition, S. Solla; perception of visual motion - computational aspects and neural mechanism, V. Torre; local neocortical processes - a time for recognition, A. Treves.