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Neural Computers

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Cover of 'Neural Computers'

Table of Contents

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    Book Overview
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    Chapter 1 The Role of Adaptive and Associative Circuits in Future Computer Designs
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    Chapter 2 Faust, Mephistopheles and Computer
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    Chapter 3 Structured Neural Networks in Nature and in Computer Science
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    Chapter 4 Goal and Architecture of Neural Computers
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    Chapter 5 Conventional Fault-Tolerance and Neural Computers
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    Chapter 6 Fault-Tolerance in Imaging-Oriented Systolic Arrays
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    Chapter 7 Parallelism and Redundancy in Neural Networks
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    Chapter 8 Relational Models in Natural and Artificial Vision
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    Chapter 9 Image Segmentation with Neurocomputers
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    Chapter 10 A Hierarchical Neural Network Model for Selective Attention
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    Chapter 11 Mapping Images to a Hierarchical Data Structure — A Way to Knowledge-Based Pattern Recognition
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    Chapter 12 Computing Motion in the Presence of Discontinuities: Algorithm and Analog Networks
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    Chapter 13 Design Principles for a Front-End Visual System
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    Chapter 14 Towards a Primal Sketch of Real World Scenes in Early Vision
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    Chapter 15 Why Cortices ? Neural Computation in the Vertebrate Visual System
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    Chapter 16 A Cortical Network Model for Early Vision Processing
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    Chapter 17 Image Segregation by Motion : Cortical Mechanisms and Implementation in Neural Networks
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    Chapter 18 On the Acquisition of Object Concepts from Sensory Data
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    Chapter 19 Neural Computers in Vision: Processing of High Dimensional Data
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    Chapter 20 Computational Networks in Early Vision: From orientation selection to optical flow
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    Chapter 21 Logical Connectionist Systems
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    Chapter 22 Backpropagation in Perceptrons with Feedback
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    Chapter 23 A Neural Model with Multiple Memory Domains
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    Chapter 24 The Never-Ending Learning
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    Chapter 25 Storing Sequences of Biased Patterns in Neural Networks with Stochastic Dynamics
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    Chapter 26 The Inverse Problem for Linear Boolean Nets
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    Chapter 27 Training with Noise: Application to Word and Text Storage
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    Chapter 28 Of Points and Loops
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    Chapter 29 On the Asymptotic Information Storage Capacity of Neural Networks
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    Chapter 30 Learning Networks of Neurons with Boolean Logic
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    Chapter 31 Neural Network Learning Algorithms
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    Chapter 32 Exploring Three Possibilities in Network Design: Spontaneous Node Activity, Node Plasticity and Temporal Coding
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    Chapter 33 Schemas and Neurons: Two Levels of Neural Computing
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    Chapter 34 Applications of Concurrent Neuromorphic Algorithms for Autonomous Robots
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    Chapter 35 The Relevance of Mechanical Sensors for Neural Generation of Movements in Space
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    Chapter 36 Spatial and Temporal Transformations in Visuo-Motor Coordination
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    Chapter 37 Neural Networks for Motor Program Generation
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    Chapter 38 Innate and Learned Components in a Simple Visuo-Motor Reflex
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    Chapter 39 Tensor Geometry: A Language of Brains & Neurocomputers. Generalized Coordinates in Neuroscience & Robotics
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    Chapter 40 Extending Kohonen’s Self-Organizing Mapping Algorithm to Learn Ballistic Movements
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    Chapter 41 Limited Interconnectivity in Synthetic Neural Systems
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    Chapter 42 Nonlinear Optical Neural Networks: Dynamic Ring Oscillators
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    Chapter 43 Dynamical Properties of a New Type of Neural Network
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    Chapter 44 A Dedicated Computer for Simulation of Large Systems of Neural Nets
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    Chapter 45 Neurocomputer Applications
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    Chapter 46 Asynchrony and Concurrency
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    Chapter 47 Implementations of Neural Network Models in Silicon
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    Chapter 48 The Transputer
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    Chapter 49 Parallel Architectures for Neural Computers
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    Chapter 50 Control of the immune response
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    Chapter 51 Group Report 1: Structure in Neural Networks
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    Chapter 52 Group Report 2: General Software for the Simulation of Neural Nets
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    Chapter 53 Group Report 3: Hardware (e.g. Transputer Based) for Neural Computing
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    Chapter 54 Group Report 4: Typical Applications of Neural Computers
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Title
Neural Computers
Published by
Springer Berlin Heidelberg, January 1989
DOI 10.1007/978-3-642-83740-1
ISBNs
978-3-54-050892-2, 978-3-64-283740-1
Editors

Eckmiller, Rolf, Malsburg, Christoph

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 9%
United States 1 9%
Unknown 9 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 82%
Student > Master 2 18%
Readers by discipline Count As %
Computer Science 6 55%
Engineering 3 27%
Psychology 1 9%
Agricultural and Biological Sciences 1 9%