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Auto-programmable impulse neural circuits
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Watula, D. Meador, J. |
| Copyright Year | 1990 |
| Description | Impulse neural networks use pulse trains to communicate neuron activation levels. Impulse neural circuits emulate natural neurons at a more detailed level than that typically employed by contemporary neural network implementation methods. An impulse neural circuit which realizes short term memory dynamics is presented. The operation of that circuit is then characterized in terms of pulse frequency modulated signals. Both fixed and programmable synapse circuits for realizing long term memory are also described. The implementation of a simple and useful unsupervised learning law is then presented. The implementation of a differential Hebbian learning rule for a specific mean-frequency signal interpretation is shown to have a straightforward implementation using digital combinational logic with a variation of a previously developed programmable synapse circuit. This circuit is expected to be exploited for simple and straightforward implementation of future auto-adaptive neural circuits. |
| File Size | 622744 |
| Page Count | 12 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19940004366 |
| Archival Resource Key | ark:/13960/t6n06227q |
| Language | English |
| Publisher Date | 1990-11-06 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics Integrated Circuits Impulses Frequency Modulation Neural Nets Neurons Memory Signal Processing Synapses Digital Data Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
