Editorial: Hardware implementation of spike-based neuromorphic computing and its design methodologies

Lining Zhang; Mansun Chan

doi:10.3389/fnins.2022.1113983

Editorial: Hardware implementation of spike-based neuromorphic computing and its design methodologies

Front Neurosci. 2023 Jan 6:16:1113983. doi: 10.3389/fnins.2022.1113983. eCollection 2022.

Authors

Lining Zhang¹, Mansun Chan^{2

3}

Affiliations

¹ School of Electronic and Computer Engineering, Peking University, Shenzhen, China.
² Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, Hong Kong SAR, China.
³ ACCESS-AI Chip Center for Emerging Smart Systems, InnoHK Centers, HKSP, Hong Kong, Hong Kong SAR, China.

No abstract available

Keywords: SNN co-designs; design methodology; hardware SNN; neuromorphic computing; spiking neural network.

Publication types

Editorial

Grants and funding

This work is supported by the Shenzhen Science and Technology Project under grant GXWD20200827114656001 and by ACCESS - AI Chip Center for Emerging Smart Systems under the InnoHK funding, Hong Kong SAR.