Abstract
In this paper we present a VLSI method for analog synaptic learning in an electronic neuronal model. This method reduces the size and complexity involved in implementing adaptive neuronally-based controllers for robotic motion. It also provides for a continuous range of synaptic weights at both excitatory and inhibitory inputs while anticipating the need to interface to a pulsedriven system. The system is described, and test results indicate that it is able to alter the synaptic coupling on an inhibitory or an excitatory input over a wide range.
Original language | English (US) |
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Title of host publication | 1993 IEEE 19th Annual Northeasrt Bioengineering Conference |
Publisher | Publ by IEEE |
Pages | 103-105 |
Number of pages | 3 |
ISBN (Print) | 0780309251 |
State | Published - 1993 |
Event | Proceedings of the 1993 IEEE 19th Annual Northeast Bioengineering Conference - Newark, NJ, USA Duration: Mar 18 1993 → Mar 19 1993 |
Other
Other | Proceedings of the 1993 IEEE 19th Annual Northeast Bioengineering Conference |
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City | Newark, NJ, USA |
Period | 3/18/93 → 3/19/93 |
All Science Journal Classification (ASJC) codes
- General Chemical Engineering