Name
Abstract | ||
|---|---|---|
A prototype programmable analog neural computer and selected applications are described. The machine is assembled from over 100 custom VLSI modules containing neurons, synapses, routing switches and programmable synaptic time constants. Connection symmetry and modular construction allow expansion to arbitrary size. The network runs in real time analog mode, however connection architecture as well as neuron and synapse parameters are controlled by a digital host that monitors also the network performance through an A/D interface. Programming and monitoring software has been developed and several application examples including the dynamic decomposition of acoustical patterns are described. The machine is intended for real time, real world computations including ATR. In current configuration its maximal speed is equivalent to that of a digital machine capable of more than 1011 flops. A much larger machine is currently under development. |
Year | DOI | Venue |
|---|---|---|
1992 | 10.1016/0925-2312(92)90016-I | Neurocomputing |
Keywords | DocType | Volume |
ANALOG NEURAL COMPUTER, OPTICAL CHARACTER RECOGNITION, PHONEME RECOGNITION, REAL TIME COMPUTATION | Journal | 4 |
Issue | ISSN | Citations |
6 | 0925-2312 | 4 |
PageRank | References | Authors |
1.75 | 0 | 11 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul Mueller | 1 | 78 | 11.57 |
| Jan Van der Spiegel | 2 | 229 | 45.53 |
| Vincent Agami | 3 | 4 | 1.75 |
| David Blackman | 4 | 6 | 2.50 |
| Peter Chance | 5 | 4 | 1.75 |
| Christopher Donham | 6 | 6 | 2.84 |
| Ralph Etienne-Cummings | 7 | 822 | 123.11 |
| Jason Flinn | 8 | 2822 | 308.56 |
| Jinsoo Kim | 9 | 78 | 28.26 |
| Mike Massa | 10 | 28 | 3.65 |
| Supun Samarasekera | 11 | 792 | 85.72 |