Revival: Sensory Neural Networks (1991)

Author:   Bahram Nabet (Drexel University) ,  Robert Pinter (University of Washington)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138561816


Pages:   194
Publication Date:   25 January 2019
Format:   Paperback
Availability:   In Print   Availability explained
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Revival: Sensory Neural Networks (1991)


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Author:   Bahram Nabet (Drexel University) ,  Robert Pinter (University of Washington)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781138561816


ISBN 10:   1138561819
Pages:   194
Publication Date:   25 January 2019
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

"INTRODUCTION, BIOLOGICAL BASES. A BRIEF HISTORY OF LATERAL INHIBITION. CENTER-SURROUND ORGANIZATION AND RECEPTIVE FIELDS. ADAPTIVE LATERAL INHIBITION. EVIDENCE FOR MULTIPLICATIVE LATERAL INHIBITION. MULTIPLICATIVE LATERAL INHIBITION: A DERIVATION. QUANTUM ABSORPTION EVENTS AND ADAPTIVE CHANGES IN LOW-PASS FILTERING. COMPUTATIONAL PROPERTIES. RELATION TO OTHER MODELS. Additive Models. PROPERTIES RELATED TO VISION. Variable ""Connection Strengths"". Automatic Gain Control. Some Psychophysical Properties. Coding of the Intensity. NONLINEAR LATERAL INHIBITION AND IMAGE PROCESSING. INTRODUCTION. BACKGROUND. IMPLEMENTATION. RESULTS AND DISCUSSION. MODELING THE PROCESSING AND PERCEPTION OF VISUAL MOTION. INTRODUCTION. FEATURE MATCHING SCHEMES. INTENSITY BASED SCHEMES. Global Models. Local Models. SHUNTING LATERAL INHIBITORY MODELS. Directional Selectivity With MLINNs. Multiplicative Inhibitory Motion Detectors. Response Characteristics of MIMDs. DISCUSSION. ELECTRON REALIZATION. NEURAL NETWORK IMPLEMENTATIONS. Associative Memory Chips. Learning Chips. Sensory Neural Networks. DESIGN FRAMEWORK FOR ANALOG IMPLEMENTATION. Input Sources. Cell Body and Temporal Characteristics. Shunting Recurrent Circuitry. Shunting Non-Recurrent Circuitry. Summing Circuitry and Excitatory and Inhibitory. Inhibitory Connections. Sigmoidal Nonlinearity. Interface Circuitry. THE CHOICE OF TECHNOLOGY. Gallium Arsenide Framework. IMPLEMENTATION OF SHUNTING NETWORKS WITH FET TECHNOLOGIES. ANALOG IMPLEMENTATION. NONLINEAR DEVICE CHARACTERISTICS. IMPLEMENTATION OF NONSATURATING FETs. IMPLEMENTATION OF INTERCONNECTIONS. LIMITATIONS TO PERFORMANCE. RESULTS OF SPECIFIC IMPLEMENTATION. ACCURACY. LEVEL-SHIFTING AND THE DYNAMIC RANGE. RESPONSE TO UNIFORM INPUT. RANGE COMPRESSION AND DATA COMPRESSION. POINT-SOURCE RESPONSE. Intensity Dependence. Boundary Effects. TUNABILITY OF SENSITIVITY. SPATIAL EDGE RESPONSE. Intensity Dependence. DIRECTIONAL SELECTIVITY. DISCUSSION. NONLINEAR MATHEMATICAL DESCRIPTION. STABILITY AND CONTENT ADDRESSABILITY. Stability of the Implemented Network. RELATION TO ADAPTIVE RESONANCE. VOLTERRA-WIENER SERIES EXPANSION. TEMPORAL KERNELS. First Order Temporal Kernel. Second Order Temporal Kernel. Discussion. SPATIAL KERNELS. Zero Order Kernel. First Order Spatial Kernel. Second Order Spatial Kernel. Higher Order Spatial Kernels. CLASSIFICATION PROPERTIES. CONCLUSIONS. BIBLIOGRAPHY."

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Author Information

Professor Bahram Nabet has been a senior visiting scientist in Brazil and Italy, ASEE Summer Faculty Fellow at the Naval Research Lab in Washington DC, and has been on sabbatical leave at Telcordia Applied Research Inc. and Dexxon Group Inc.

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