Name
Title | ||
|---|---|---|
PHAX: Physical Characteristics Aware Ex-Situ Training Framework for Inverter-Based Memristive Neuromorphic Circuits. |
Abstract | ||
|---|---|---|
In this paper, we propose a training framework for an inverter-based memristive neuromorphic hardware. The framework, which is called PHAX, is a physical characteristics aware one relying on an ex-situ training approach. The considered neuromorphic circuit is highly energy efficient hybrid CMOS-memristive implementation of neuromorphic circuits. To solve the problem of high sensitivity of the trai... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCAD.2017.2764070 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
Keywords | Field | DocType |
Training,Neurons,Integrated circuit modeling,Neuromorphics,Memristors,Biological neural networks,Mathematical model | Inverter,Memristor,Computer science,Neuromorphic engineering,CMOS,Application-specific integrated circuit,Electronic engineering,Backpropagation,Electronic circuit,Crossbar switch | Journal |
Volume | Issue | ISSN |
37 | 8 | 0278-0070 |
Citations | PageRank | References |
3 | 0.43 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ansari, M. | 1 | 11 | 1.96 |
| Arash Fayyazi | 2 | 15 | 3.85 |
| Ali BanaGozar | 3 | 4 | 0.84 |
| Mohammad Ali Maleki | 4 | 4 | 1.18 |
| Mehdi Kamal | 5 | 189 | 30.41 |
| Ali Afzali-Kusha | 6 | 81 | 11.95 |
| Massoud Pedram | 7 | 7801 | 1211.32 |