Name
Title | ||
|---|---|---|
Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration |
Abstract | ||
|---|---|---|
In this brief, we propose a novel energy-efficient temporal-spatial information processing circuit that serves as the signal pre-processing interface for spiking neural networks. In order to transform sensory information into a highly efficient neural-like spike train, an iteration encoding scheme based temporal-spatial inter-spike interval (ISI) encoder is designed and analyzed. Moreover, a decoder is designed with the spike-timing-dependent plasticity (STDP) principle, which performs well in information recovery. The prototype of the proposed ISI encoder is presented, with a 3-interval encoder through the standard 180nm CMOS technology. The proposed ISI encoder could operate in
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sampling frequency, and it occupies merely
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die area while consuming as low as
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/neuron power. A multi-level ISI decoder with spike width adaptation is also designed and evaluated through the CIFAR10 image dataset. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TCSII.2019.2945690 | IEEE Transactions on Circuits and Systems II: Express Briefs |
Keywords | DocType | Volume |
Neurons,Decoding,Encoding,Mathematical model,Biological neural networks,Neuromorphic engineering,Computational modeling | Journal | 67 |
Issue | ISSN | Citations |
10 | 1549-7747 | 1 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chenyuan Zhao | 1 | 27 | 4.57 |
| Qiyuan An | 2 | 3 | 2.74 |
| Kangjun Bai | 3 | 11 | 5.28 |
| Bryant T. Wysocki | 4 | 65 | 6.76 |
| Clare Thiem | 5 | 10 | 2.06 |
| Lingjia Liu | 6 | 799 | 92.58 |
| Yang Yi | 7 | 159 | 26.70 |