Learning on Silicon: Editorial Gert CauwenberghsMagdy BayoumiEdgar Sanchez-Sinencio OriginalPaper Pages: 113 - 116
Biologically-Inspired On-Chip Learning in Pulsed Neural Networks Torsten LehmannRobin Woodburn OriginalPaper Pages: 117 - 131
Spike Based Normalizing Hebbian Learning in an Analog VLSI Artificial Neuron Ph. HäfligerM. Mahowald OriginalPaper Pages: 133 - 139
Antidromic Spikes Drive Hebbian Learning in an Artificial Dendritic Tree Wayne C. WestermanDavid P. M. NorthmoreJohn. G. Elias OriginalPaper Pages: 141 - 152
Hardware Implementation of a Pulse Density Neural Network Using Simultaneous Perturbation Learning Rule Yutaka MaedaAtsushi NakazawaYakichi Kanata OriginalPaper Pages: 153 - 162
A Circuit Architecture for Analog On-Chip Back Propagation Learning with Local Learning Rate Adaptation G. M. BoD. D. CavigliaM. Valle OriginalPaper Pages: 163 - 173
Mixed-Mode Programmable and Scalable Architecture for On-Chip Learning Bassem A. AlhalabiMagdy A. BayoumiBassem Maaz OriginalPaper Pages: 175 - 194
Using Spectral Subtraction for Suppression of Noise in Speech Signals with Analog Integrated Circuits Stanislav GrudenBaldomir Zajc OriginalPaper Pages: 195 - 207
Analog Hardware Implementation of Continuous-Time Adaptive Filter Structures John G. HarrisJui-Kuo JuanJose C. Principe OriginalPaper Pages: 209 - 227
Design of a Temporal Learning Chip for Signal Generation and Classification Fathi M. SalamHwa-Joon Oh OriginalPaper Pages: 229 - 242
A Locally Adaptive Multimode Photodetector Circuit Amjad KhanAnant DevalL. A. Akers OriginalPaper Pages: 255 - 275
A Dedicated Multi-Chip Programmable System for Cellular Neural Networks Mario SalernoFausto SargeniVincenzo Bonaiuto OriginalPaper Pages: 277 - 288
A Nonlinear Noise-Shaping Delta-Sigma Modulator with On-Chip Reinforcement Learning* Gert Cauwenberghs OriginalPaper Pages: 289 - 299
A Micropower Adaptive Linear Transform Vector Quantiser Richard J. CogginsRaymond J.W. WangMarwan A. Jabri OriginalPaper Pages: 301 - 312