Name
Title | ||
|---|---|---|
Neuromorphic Architecture With 1M Memristive Synapses for Detection of Weakly Correlated Inputs. |
Abstract | ||
|---|---|---|
Neuromorphic computing takes inspiration from the brain to build highly parallel, energy- and area-efficient architectures. Recently, hardware realizations of neurons and synapses using memristive devices were proposed and applied for the task of correlation detection. However, for weakly correlated signals, this task becomes challenging because of the variability and the asymmetric conductance re... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCSII.2017.2697457 | IEEE Transactions on Circuits and Systems II: Express Briefs |
Keywords | Field | DocType |
Neurons,Neuromorphics,Visualization,Correlation,Hardware,Nanoscale devices | Synapse,Memristor,Computer science,Phase change,Neuromorphic engineering,Electronic engineering,Learning rule | Journal |
Volume | Issue | ISSN |
64 | 11 | 1549-7747 |
Citations | PageRank | References |
2 | 0.36 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stanislaw Wozniak | 1 | 7 | 1.48 |
| Angeliki Pantazi | 2 | 75 | 11.34 |
| Severin Sidler | 3 | 4 | 0.80 |
| Nikolaos Papandreou | 4 | 251 | 28.18 |
| Yusuf Leblebici | 5 | 771 | 119.09 |
| Evangelos Eleftheriou | 6 | 1590 | 118.20 |