Synthetic Neural Circuits Using Current-Domain Signal Representations
- 1 December 1989
- journal article
- Published by MIT Press in Neural Computation
- Vol. 1 (4) , 489-501
- https://doi.org/10.1162/neco.1989.1.4.489
Abstract
We present a new approach to the engineering of collective analog computing systems that emphasizes the role of currents as an appropriate signal representation and the need for low-power dissipation and simplicity in the basic functional circuits. The design methodology and implementation style that we describe are inspired by the functional and organizational principles of neuronal circuits in living systems. We have implemented synthetic neurons and synapses in analog CMOS VLSI that are suitable for building associative memories and self-organizing feature maps.Keywords
This publication has 7 references indexed in Scilit:
- Hardware architecture of a neural network model simulating pattern recognition by the olfactory bulbNeural Networks, 1989
- Central pattern generating and recognizing in olfactory bulb: A correlation learning ruleNeural Networks, 1988
- Nonlinear neural networks: Principles, mechanisms, and architecturesNeural Networks, 1988
- Information transport obeying the continuity equationIBM Journal of Research and Development, 1988
- Neural networks and physical systems with emergent collective computational abilities.Proceedings of the National Academy of Sciences, 1982
- Translinear circuits: a proposed classificationElectronics Letters, 1975
- Thermodynamics of Nonlinearity and Noise in DiodesJournal of Applied Physics, 1968