标题/作者	年份
Event-based vision: A survey G Gallego, T Delbrück, G Orchard, C Bartolozzi, B Taba, A Censi, ... IEEE transactions on pattern analysis and machine intelligence 44 (1), 154-180	2020
Deep learning with spiking neurons: Opportunities and challenges M Pfeiffer, T Pfeil Frontiers in neuroscience 12, 774	2018
Neuro-inspired computing chips W Zhang, B Gao, J Tang, P Yao, S Yu, MF Chang, HJ Yoo, H Qian, H Wu Nature electronics 3 (7), 371-382	2020
A 0.086-mm $^ 2 $12.7-pJ/SOP 64k-synapse 256-neuron online-learning digital spiking neuromorphic processor in 28-nm CMOS C Frenkel, M Lefebvre, JD Legat, D Bol IEEE transactions on biomedical circuits and systems 13 (1), 145-158	2018
Large-scale neuromorphic spiking array processors: A quest to mimic the brain CS Thakur, JL Molin, G Cauwenberghs, G Indiveri, K Kumar, N Qiao, ... Frontiers in neuroscience 12, 891	2018
Braindrop: A mixed-signal neuromorphic architecture with a dynamical systems-based programming model A Neckar, S Fok, BV Benjamin, TC Stewart, NN Oza, AR Voelker, ... Proceedings of the IEEE 107 (1), 144-164	2018
2022 roadmap on neuromorphic computing and engineering DV Christensen, R Dittmann, B Linares-Barranco, A Sebastian, ... Neuromorphic Computing and Engineering 2 (2), 022501	2022
Opportunities for neuromorphic computing algorithms and applications CD Schuman, SR Kulkarni, M Parsa, JP Mitchell, P Date, B Kay Nature Computational Science 2 (1), 10-19	2022
Performance comparison of the digital neuromorphic hardware SpiNNaker and the neural network simulation software NEST for a full-scale cortical microcircuit model SJ Van Albada, AG Rowley, J Senk, M Hopkins, M Schmidt, AB Stokes, ... Frontiers in neuroscience 12, 291	2018
Low-power neuromorphic hardware for signal processing applications: A review of architectural and system-level design approaches B Rajendran, A Sebastian, M Schmuker, N Srinivasa, E Eleftheriou IEEE Signal Processing Magazine 36 (6), 97-110	2019
BiCoSS: toward large-scale cognition brain with multigranular neuromorphic architecture S Yang, J Wang, X Hao, H Li, X Wei, B Deng, KA Loparo IEEE Transactions on Neural Networks and Learning Systems 33 (7), 2801-2815	2021
MorphIC: A 65-nm 738k-Synapse/mm $^ 2$ quad-core binary-weight digital neuromorphic processor with stochastic spike-driven online learning C Frenkel, JD Legat, D Bol IEEE transactions on biomedical circuits and systems 13 (5), 999-1010	2019
Hardware implementation of deep network accelerators towards healthcare and biomedical applications MR Azghadi, C Lammie, JK Eshraghian, M Payvand, E Donati, ... IEEE Transactions on Biomedical Circuits and Systems 14 (6), 1138-1159	2020
Brain-inspired computing needs a master plan A Mehonic, AJ Kenyon Nature 604 (7905), 255-260	2022
Flexible electronics and devices as human–machine interfaces for medical robotics W Heng, S Solomon, W Gao Advanced Materials 34 (16), 2107902	2022
Hand-gesture recognition based on EMG and event-based camera sensor fusion: A benchmark in neuromorphic computing E Ceolini, C Frenkel, SB Shrestha, G Taverni, L Khacef, M Payvand, ... Frontiers in neuroscience 14, 637	2020
The heidelberg spiking data sets for the systematic evaluation of spiking neural networks B Cramer, Y Stradmann, J Schemmel, F Zenke IEEE Transactions on Neural Networks and Learning Systems 33 (7), 2744-2757	2020
Mapping spiking neural networks to neuromorphic hardware A Balaji, A Das, Y Wu, K Huynh, FG Dell’Anna, G Indiveri, JL Krichmar, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (1), 76-86	2019
Discrimination of EMG signals using a neuromorphic implementation of a spiking neural network E Donati, M Payvand, N Risi, R Krause, G Indiveri IEEE transactions on biomedical circuits and systems 13 (5), 795-803	2019
Memristive and CMOS devices for neuromorphic computing V Milo, G Malavena, C Monzio Compagnoni, D Ielmini Materials 13 (1), 166	2020

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