Neuromorphic Systems Engineering

Foreword. Preface. I: Cochlear Systems. 1. Filter Cascades as Analogs of the Cochlea; R.F. Lyon. 2. An Analogue VLSI Model of Active Cochlea; E. Fragniere, et al. 3. A Low-Power Wide-Dynamic-Range Analog VLSI Cochlea; R. Sarpeshkar, et al. 4. Speech Recognition Experiments with Silicon Auditory Models; J. Lazzaro, J. Wawrzynek. II: Retinomorphic Systems. 5. The Retinomorphic Approach: Pixel-Parallel Adaptive Amplification, Filtering, and Quantization; K.A. Boahlen. 6. Analog VLSI Excitatory Feedback Circuits for Attentional Shifts and Tracking; T.G. Morris, S.P. DeWeerth. 7. Floating-Gate Circuits for Adaptation of Saccadic Eye Movement Accuracy; T.K. Horiuchi, C. Koch. III: Neuromorphic Communication. 8. Introduction to Neuromorphic Communication; T.S. Lande. 9. A Pulsed Communication/Computation Framework for Analog VLSI Perceptive Systems; A. Mortara. 10. Asynchronous Communication of 2D Motion Information Using Winner-Takes-All Arbitration; Z. Kalayjian, A.G. Andreou. 11. Communicating Neuronal Ensembles between Neuromorphic Chips; K.A. Boahen. IV: Neuromorphic Technology. 12. Introduction: From Neurobiology to Silicon; C. Diorio. 13. A Low-Power Wide-Linear-Range Transconductance Amplifier; R. Sarpeshkar, et al. 14. Floating-Gate MOS Synapse Transistors; C. Diorio, et al. 15. Neuromorphic Synapses for Artificial Dendrites; W.C. Westerman, et al. 16. Winner-Take-All Networks with Lateral Excitation; G. Indiveri. V: Neuromorphic Learning. 17. Neuromorphic Learning VLSI Systems: A Survey; G. Cauwenberghs. 18. Analog VLSI Stochastic Perturbative Learning Architectures; G. Cauwenberghs. 19. Winner-Takes-All Associative Memory; P.O. Pouliquen, et al. Index.