Dynamic Homeostatic Regulation in Energy-Efficient Time-Locked Neuromorphic Systems
| Autor: | Amir Zjajo |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Spiking neural network
0303 health sciences Computer science 020208 electrical & electronic engineering 02 engineering and technology 03 medical and health sciences Neuromorphic engineering CMOS Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Electronic engineering Transient (oscillation) 030304 developmental biology Efficient energy use |
| Zdroj: | BIBE |
| DOI: | 10.1109/bibe50027.2020.00122 |
| Popis: | In this paper, we present neuromorphic system with built-in temporal control that allows the implementation of transient mechanisms and homeostatic regulation. Due to the interaction between conductance delay and plasticity rules, the network is forming a set of neuronal groups with time-locked, reproducible, and precise firing patterns. Experimental results obtained in 65 nm CMOS technology illustrate the feasibility of the methodology. |
| Databáze: | OpenAIRE |
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