System and circuit design for biologically-inspired learning

• Corporate Author: IGI Global.
• Other Authors: Temel, Turgay, 1970-
• Format: Electronic
• Language: English
• Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2011.
• Subjects: Neural networks (Computer science); Biologically-inspired computing.; Logic circuits.; Biologically-inspired learning and intelligent system modeling; Representation of neuro-information and knowledge; Recurrent neural networks; Self-organizing fuzzy neural network training; Neuromodeling and natural optimization; DCGA optimization techniques; Parallel hardware for artificial neural networks; Neural network circuits; Analog circuit design with fuzzy inference; Implantable neural decoders
• Online Access: Chapter PDFs via platform:

"The objective of the book is to introduce and bring together well-known circuit design aspects, as well as to cover up-to-date outcomes of theoretical studies in decision-making, biologically-inspired, and artificial intelligent learning techniques"--Provided by publisher.

Table of Contents:

• 1. Biologically-inspired learning and intelligent system modeling / Giovanna Morgavi
• 2. Representation of neuro-information and knowledge / Frank van der Velde
• 3. Learning / Frank van der Velde
• 4. Biologically-inspired learning / Turgay Temel
• 5. Optimality-oriented stabilization for recurrent neural networks / Ziqian Liu
• 6. Design of globally robust control for biologically-inspired noisy recurrent neural networks / Ziqian Liu
• 7. A biologically inspired evolving spiking neural model with rank-order population coding and a taste recognition system case study / S. Soltic, N. Kasabov
• 8. Faster self-organizing fuzzy neural network training and improved autonomy with time-delayed synapses for locally recurrent learning / Damien Coyle, Girijesh Prasad, Martin McGinnity
• 9. Biologically-inspired learning and intelligence / Turgay Temel
• 10. A biomimetic adaptive algorithm and micropower circuit architecture for implantable neural decoders / Benjamin Rapoport, Rahul Sarpeshkar
• 11. FPGA coprocessor for simulation of neural networks using compressed matrix storage / Jr̲g Bornschein
• 12. Neural network circuits for embedded sensors applications / N. Medrano, G. Zatorre, M. Sanz, B. Calvo, S. Celma
• 13. Parallel hardware for artificial neural networks using fixed floating point representation / Nadia Nedjah, Rodrigo Martins da Silva, Luiza Mourelle
• 14. A novel DCGA optimization technique for guaranteed BIBO-stable frequency-response masking digital filters incorporating bilinear lossless discrete-integrator IIR interpolation sub-filters / Syed Bokhari, Behrouz Nowrouzian
• 15. Neuromodeling and natural optimization of nonlinear devices and circuits / Paulo Silva, Rossana Cruz, Adaildo D'Assunção.