Name
Abstract | ||
|---|---|---|
An analogue CMOS VLSI neural processing chip has been designed and fabricated. The device employs "pulse-stream" neural state signalling and is capable of computing some 360 million synaptic connections per second. In addition to basic characterisation results, the performance of the chip in solving "real-world" problems is also demonstrated. The experience gained from the development of this device has resulted in the design of a second "pulse-stream" chip with improved performance and features. It is anticipated that this second device will be integrated into a standard bus-based system and find early application in robotic control. |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1142/S0129065793000328 | INTERNATIONAL JOURNAL OF NEURAL SYSTEMS |
Keywords | Field | DocType |
neural network | Neural processing,Computer science,Pulse (signal processing),Artificial intelligence,Chipset,Computer hardware,Artificial neural network,Very-large-scale integration,Cmos vlsi,Robotic control,Chip,Machine learning,Embedded system | Journal |
Volume | Issue | ISSN |
4 | 4 | 0129-0657 |
Citations | PageRank | References |
2 | 0.53 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alister Hamilton | 1 | 117 | 19.02 |
| S Churcher | 2 | 32 | 7.66 |
| Peter J. Edwards | 3 | 149 | 19.81 |
| Geoffrey B. Jackson | 4 | 4 | 1.45 |
| Alan F. Murray | 5 | 642 | 148.88 |
| H. Martin Reekie | 6 | 23 | 12.58 |