Advances in Neural Information Processing Systems 8

Advances in Neural Information Processing Systems 8
Author :
Publisher : MIT Press
Total Pages : 1128
Release :
ISBN-10 : 0262201070
ISBN-13 : 9780262201070
Rating : 4/5 (70 Downloads)

Book Synopsis Advances in Neural Information Processing Systems 8 by : David S. Touretzky

Download or read book Advances in Neural Information Processing Systems 8 written by David S. Touretzky and published by MIT Press. This book was released on 1996 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past decade has seen greatly increased interaction between theoretical work in neuroscience, cognitive science and information processing, and experimental work requiring sophisticated computational modeling. The 152 contributions in NIPS 8 focus on a wide variety of algorithms and architectures for both supervised and unsupervised learning. They are divided into nine parts: Cognitive Science, Neuroscience, Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Vision, Applications, and Control. Chapters describe how neuroscientists and cognitive scientists use computational models of neural systems to test hypotheses and generate predictions to guide their work. This work includes models of how networks in the owl brainstem could be trained for complex localization function, how cellular activity may underlie rat navigation, how cholinergic modulation may regulate cortical reorganization, and how damage to parietal cortex may result in neglect. Additional work concerns development of theoretical techniques important for understanding the dynamics of neural systems, including formation of cortical maps, analysis of recurrent networks, and analysis of self- supervised learning. Chapters also describe how engineers and computer scientists have approached problems of pattern recognition or speech recognition using computational architectures inspired by the interaction of populations of neurons within the brain. Examples are new neural network models that have been applied to classical problems, including handwritten character recognition and object recognition, and exciting new work that focuses on building electronic hardware modeled after neural systems. A Bradford Book


Advances in Neural Information Processing Systems 8 Related Books

Advances in Neural Information Processing Systems 8
Language: en
Pages: 1128
Authors: David S. Touretzky
Categories: Computers
Type: BOOK - Published: 1996 - Publisher: MIT Press

DOWNLOAD EBOOK

The past decade has seen greatly increased interaction between theoretical work in neuroscience, cognitive science and information processing, and experimental
Advances in Neural Information Processing Systems 10
Language: en
Pages: 1114
Authors: Michael I. Jordan
Categories: Computers
Type: BOOK - Published: 1998 - Publisher: MIT Press

DOWNLOAD EBOOK

The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. These proceedings contain all of the pap
Theory of Neural Information Processing Systems
Language: en
Pages: 596
Authors: A.C.C. Coolen
Categories: Neural networks (Computer science)
Type: BOOK - Published: 2005-07-21 - Publisher: OUP Oxford

DOWNLOAD EBOOK

Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural information processing sys
Advances in Neural Information Processing Systems 12
Language: en
Pages: 1124
Authors: Sara A. Solla
Categories: Computers
Type: BOOK - Published: 2000 - Publisher: MIT Press

DOWNLOAD EBOOK

The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers
Advances in Neural Information Processing Systems 19
Language: en
Pages: 1668
Authors: Bernhard Schölkopf
Categories: Artificial intelligence
Type: BOOK - Published: 2007 - Publisher: MIT Press

DOWNLOAD EBOOK

The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the