Low-power, adaptive neuromorphic systems : recent progress and future directions
In this paper, we present a survey of recent works in developing neuromorphic or neuro-inspired hardware systems. In particular, we focus on those systems which can either learn from data in an unsupervised or online supervised manner. We present algorithms and architectures developed specially to s...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/106809 http://hdl.handle.net/10220/49651 http://dx.doi.org/10.1109/JETCAS.2018.2816339 |