Abstract
A new parallel ADC architecture is presented which makes use of neuromorphic principles to be fast, accurate, and robust to noise and circuit mismatch. The architecture uses spiking integrate-and-fire neurons as base elements, with lateral inhibition to decohere the parallel pathways, and alternate on-and off-triggered paths to maintain a constant spike rate. Results from a proof-of-concept circuit reinforce the analytical conclusion that this circuit can make a practical ADC.
| Original language | English |
|---|---|
| Title of host publication | 2012 IEEE International Symposium on Circuits and Systems: ISCAS 2012: 20-23 May 2012, Seoul, Korea |
| Publisher | IEEE |
| Pages | 2409-2412 |
| Number of pages | 4 |
| ISBN (Print) | 9781467302197 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | IEEE International Symposium on Circuits and Systems - Duration: 20 May 2012 → … |
Conference
| Conference | IEEE International Symposium on Circuits and Systems |
|---|---|
| Period | 20/05/12 → … |
Keywords
- ADC architectures
- analog-to-digital converters
- electric network analysis
- neuromorphic
- neurons