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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Basu, Arindam, Acharya, Jyotibdha, Karnik, Tanay, Liu, Huichu, Li, Hai, Seo, Jae-Sun, Song, Chang
مؤلفون آخرون: School of Electrical and Electronic Engineering
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