Name
Title | ||
|---|---|---|
An On-Chip Learning Neuromorphic Autoencoder With Current-Mode Transposable Memory Read and Virtual Lookup Table. |
Abstract | ||
|---|---|---|
This paper presents an IC implementation of on-chip learning neuromorphic autoencoder unit in a form of rate-based spiking neural network. With a current-mode signaling scheme embedded in a 500 × 500 6b SRAM-based memory, the proposed architecture achieves simultaneous processing of multiplications and accumulations. In addition, a transposable memory read for both forward and backward propagation... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBCAS.2017.2762002 | IEEE Transactions on Biomedical Circuits and Systems |
Keywords | Field | DocType |
Neurons,Hardware,System-on-chip,Neuromorphics,Computer architecture,Pulse width modulation | Restricted Boltzmann machine,Lookup table,Autoencoder,MNIST database,Computer science,Neuromorphic engineering,Electronic engineering,Computational science,Unsupervised learning,Spiking neural network,Synaptic weight | Journal |
Volume | Issue | ISSN |
12 | 1 | 1932-4545 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hwasuk Cho | 1 | 2 | 3.12 |
| Hyunwoo Son | 2 | 11 | 4.43 |
| Kihwan Seong | 3 | 1 | 2.39 |
| Byungsub Kim | 4 | 165 | 37.71 |
| Hong-june Park | 5 | 465 | 72.93 |
| Jae-yoon Sim | 6 | 508 | 83.58 |