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...
المؤلفون الرئيسيون: | , , , , , , |
---|---|
مؤلفون آخرون: | |
التنسيق: | Journal Article |
اللغة: | English |
منشور في: |
2019
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/106809 http://hdl.handle.net/10220/49651 http://dx.doi.org/10.1109/JETCAS.2018.2816339 |