Neural Networks: from Biology to High Energy Physics

Neural Networks: from Biology to High Energy Physics

Auteur : Daniel J. Amit

Date de publication : 1995

Éditeur : World Scientific Publishing Company

Nombre de pages : 310

Résumé du livre

"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."--Publisher's website.

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