Sensory neural networks : lateral inhibition /: lateral inhibition. (2018)
- Record Type:
- Book
- Title:
- Sensory neural networks : lateral inhibition /: lateral inhibition. (2018)
- Main Title:
- Sensory neural networks : lateral inhibition
- Further Information:
- Note: Bahram Nabet, Robert B. Pinter.
- Authors:
- Nabet, Bahram
Pinter, Robert B - Contents:
- Cover; Half Title; Title Page; Copyright Page; Dedication; Contents; 1 Introduction; 2 Biological Bases; 2.1 A Brief History of Lateral Inhibition; 2.2 Center-Surround Organization and Receptive Fields; 2.3 Adaptive Lateral Inhibition; 2.4 Evidence for Multiplicative Nonlinear Lateral Inhibition; 2.5 Multiplicative Lateral Inhibition: A Derivation; 2.6 Quantum Absorption Events and Adaptive Changes in Low Pass Filtering; 3 Computational Properties; 3.1 Models; 3.1.1 Additive Models; 3.2 Properties Related to Vision; 3.2.1 Variable â#x80;#x9C;Connection Strengthsâ#x80;#x9D;; 3.2.2 Automatic Gain Control 3.2.3 Some Psychophysical Properties3.2.4 The Coding of Intensity; 4 Nonlinear Lateral Inhibition and Image Processing; 4.1 Introduction; 4.2 Background; 4.3 Implementation; 4.4 Results and Discussion; 5 Modeling the Processing and Perception of Visual Motion; 5.1 Introduction; 5.2 Feature-Matching Schemes; 5.3 Intensity-Based Schemes; 5.3.1 Global Models; 5.3.2 Local Models; 5.4 Shunting Lateral Inhibitory Models; 5.4.1 Directional Selectivity with MLINNs; 5.4.2 Multiplicative Inhibitory Motion Detectors; 5.4.3 Response Characteristics of MIMDs; 5.5 Discussion and Conclusion 6 Electronic Realization6.1 Associative Memory Chips; 6.2 Learning Chips; 6.3 Sensory Neural Networks; 6.4 Discussion; 6.5 Design Framework for Analog Implementation; 6.6 Design Framework; 6.6.1 Input Sources; 6.6.2 Cell Body and Temporal Characteristics; 6.6.3 Shunting Recurrent Circuitry; 6.6.4 ShuntingCover; Half Title; Title Page; Copyright Page; Dedication; Contents; 1 Introduction; 2 Biological Bases; 2.1 A Brief History of Lateral Inhibition; 2.2 Center-Surround Organization and Receptive Fields; 2.3 Adaptive Lateral Inhibition; 2.4 Evidence for Multiplicative Nonlinear Lateral Inhibition; 2.5 Multiplicative Lateral Inhibition: A Derivation; 2.6 Quantum Absorption Events and Adaptive Changes in Low Pass Filtering; 3 Computational Properties; 3.1 Models; 3.1.1 Additive Models; 3.2 Properties Related to Vision; 3.2.1 Variable â#x80;#x9C;Connection Strengthsâ#x80;#x9D;; 3.2.2 Automatic Gain Control 3.2.3 Some Psychophysical Properties3.2.4 The Coding of Intensity; 4 Nonlinear Lateral Inhibition and Image Processing; 4.1 Introduction; 4.2 Background; 4.3 Implementation; 4.4 Results and Discussion; 5 Modeling the Processing and Perception of Visual Motion; 5.1 Introduction; 5.2 Feature-Matching Schemes; 5.3 Intensity-Based Schemes; 5.3.1 Global Models; 5.3.2 Local Models; 5.4 Shunting Lateral Inhibitory Models; 5.4.1 Directional Selectivity with MLINNs; 5.4.2 Multiplicative Inhibitory Motion Detectors; 5.4.3 Response Characteristics of MIMDs; 5.5 Discussion and Conclusion 6 Electronic Realization6.1 Associative Memory Chips; 6.2 Learning Chips; 6.3 Sensory Neural Networks; 6.4 Discussion; 6.5 Design Framework for Analog Implementation; 6.6 Design Framework; 6.6.1 Input Sources; 6.6.2 Cell Body and Temporal Characteristics; 6.6.3 Shunting Recurrent Circuitry; 6.6.4 Shunting Non-Recurrent Circuitry; 6.6.5 Summing Circuitry and Excitatory and Inhibitory Connections; 6.6.6 Sigmoidal Nonlinearity; 6.6.7 Interface Circuitry; 6.7 The Choice of Technology; 6.7.1 Gallium Arsenide Framework; 7 Implementation of Shunting Networks with FET Technologies 7.1 Analog Implementations7.2 Nonlinear Device Characteristics; 7.2.1 N-Channel Si MOSFETâ#x80;#x99;s; 7.2.2 N-Channel GaAs MESFETâ#x80;#x99;s; 7.3 Implementation of Nonsaturating FETâ#x80;#x99;s; 7.4 Implementation of Interconnections; 7.5 Limitations to Performance; 8 Specific Implementation; 8.1 Accuracy; 8.2 Level-Shifting and the Dynamic Range; 8.3 Response to Uniform Input; 8.4 Range Compression and Data Compression; 8.5 Point Source Response; 8.5.1 Intensity Dependence; 8.5.2 Boundary Effects; 8.6 Tunability of Sensitivity; 8.7 Spatial Edge Response; 8.7.1 Intensity Dependence; 8.8 Directional Selectivity 8.9 Conclusions9 Nonlinear Mathematical Description; 9.1 Stability and Content Addressability; 9.1.1 Stability of the Implemented Network; 9.2 Relation to Adaptive Resonance; 9.3 Volterra-Wiener Series Expansion; 9.4 Temporal Kernels; 9.4.1 First Order Temporal Kernel; 9.4.2 Second Order Temporal Kernel; 9.5 Spatial Kernels; 9.5.1 Zero Order Kernel; 9.5.2 First Order Spatial Kernel; 9.5.3 Second Order Spatial Kernels; 9.5.4 Higher Order Spatial Kernels; 9.5.5 Classification Properties; 9.6 Conclusions; Bibliography; Index … (more)
- Publisher Details:
- Boca Raton, FL : CRC Press
- Publication Date:
- 2018
- Copyright Date:
- 1991
- Extent:
- 1 online resource (xi, 182 pages), illustrations
- Subjects:
- 006.3/2
Neural circuitry
Neural networks (Computer science)
Computer vision
Electrical Engineering Communications
ENGnetBASE
ElectricalEngineeringnetBASE
SCI-TECHnetBASE
STMnetBASE
COMPUTERS / General
Electronic books - Languages:
- English
- ISBNs:
- 9780203710418
9781351357906
1351357905
9781351357890
1351357891 - Related ISBNs:
- 020371041X
1138105465
9781138105461
9781138561816 - Notes:
- Note: Includes bibliographical references (pages 159-175) and index.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.254492
- Ingest File:
- 01_168.xml