Learning on Silicon: Adaptive VLSI Neural Systems (Hardcover, 1999)

Preface. Acknowledgements. 1. Learning on Silicon: A Survey; G. Cauwenberghs. Part I: Adaptive Sensory Processing. 2. Adaptive Circuits and Synapses using pFET Floating-Gate Devices; P. Hasler, et al. 3. Silicon Photoreceptors with Controllable Adaptive Filtering Properties; S.-C. Liu. 4. Analog VLSI System for Active Drag Reduction; V. Koosh, et al. Part II: Neuromorphic Learning. 5. Biologically-inspired Learning in Pulsed Neural Networks; T. Lehmann, R. Woodburn. 6. Spike Based Normalizing Hebbian Learning in an Analog VLSI Artificial Neuron; P. Hafliger, M. Mahowald. 7. Antidromic Spikes Drive Hebbian Learning in an Artificial Dendritic Tree; W.C. Westerman, et al. Part III: Learning Architecture. 8. ART1 and ARTMAP VLSI Circuit Implementation; T. Serrano-Gotarredona, B. Linares-Barranco. 9. Circuits for On-Chip Learning in Neuro-Fuzzy Controllers; F. Vidal-Verdu, et al. 10. Analog VLSI Implementation of Self-learning Neural Networks; T. Morie. 11. A 1.2 GFLOPS Neural Network Processor for Large-Scale Neural Network Accelerator Systems; Y. Kondo, et al. Part IV: Learning Dynamics. 12. Analog Hardware Implementation of Continuous-Time Adaptive Filter Structures; J.G. Harris, et al. 13. A Chip for Temporal Learning with Error Forward Propagation; F.M. Salam, H.-J. Oh. 14. Analog VLSI On-Chip Learning Neural Network with Learning Rate Adaptation; G.M. Bo, et al. Part V: Learning Systems. 15. Learning on CNN Universal Machine Chips; R. Carmona, et al. 16. Analog VLSI Parallel Stochastic Optimization for Adaptive Optics; R.T. Edwards, et al. 17. A Nonlinear Noise-Shaping Delta-Sigma Modulator with On-Chip Reinforcement Learning; G. Cauwenberghs. 18. A Micropower Adaptive Linear Transform Vector Quantiser; R.J. Coggins, et al. Index.