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Ning Qiao
Ning Qiao
CEO, SynSense
Verified email at synsense.ai
Title
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Cited by
Year
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
N Qiao, H Mostafa, F Corradi, M Osswald, F Stefanini, D Sumislawska, ...
Frontiers in neuroscience 9, 123487, 2015
7102015
A scalable multicore architecture with heterogeneous memory structures for dynamic neuromorphic asynchronous processors (DYNAPs)
S Moradi, N Qiao, F Stefanini, G Indiveri
IEEE transactions on biomedical circuits and systems 12 (1), 106-122, 2017
5662017
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, 353526, 2018
2532018
Neuromorphic architectures for spiking deep neural networks
G Indiveri, F Corradi, N Qiao
2015 IEEE International Electron Devices Meeting (IEDM), 4.2. 1-4.2. 4, 2015
1802015
Ultra-low-power FDSOI neural circuits for extreme-edge neuromorphic intelligence
A Rubino, C Livanelioglu, N Qiao, M Payvand, G Indiveri
IEEE Transactions on Circuits and Systems I: Regular Papers 68 (1), 45-56, 2020
622020
ECG-based heartbeat classification in neuromorphic hardware
F Corradi, S Pande, J Stuijt, N Qiao, S Schaafsma, G Indiveri, F Catthoor
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
552019
Scaling mixed-signal neuromorphic processors to 28 nm FD-SOI technologies
N Qiao, G Indiveri
Biomedical Circuits and Systems Conference (BioCAS), 2016 IEEE, 552-555, 2016
532016
Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor
S Glatz, J Martel, R Kreiser, N Qiao, Y Sandamirskaya
2019 International Conference on Robotics and Automation (ICRA), 9631-9637, 2019
282019
A re-configurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128 K synapses Front
N Qiao, H Mostafa, F Corradi, M Osswald, F Stefanini, D Sumislawska, ...
Neurosci 9 (141), 10.3389, 2015
262015
An ultralow leakage synaptic scaling homeostatic plasticity circuit with configurable time scales up to 100 ks
N Qiao, C Bartolozzi, G Indiveri
IEEE transactions on biomedical circuits and systems 11 (6), 1271-1277, 2017
252017
Live demonstration: face recognition on an ultra-low power event-driven convolutional neural network asic
Q Liu, O Richter, C Nielsen, S Sheik, G Indiveri, N Qiao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
212019
Ultra low leakage synaptic scaling circuits for implementing homeostatic plasticity in neuromorphic architectures
G Rovere, Q Ning, C Bartolozzi, G Indiveri
2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2073-2076, 2014
202014
Neural state machines for robust learning and control of neuromorphic agents
D Liang, R Kreiser, C Nielsen, N Qiao, Y Sandamirskaya, G Indiveri
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (4 …, 2019
172019
Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology
N Qiao, G Indiveri
2017 IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference …, 2017
172017
A 10-bit 50-MS/s reference-free low power SAR ADC in 0.18-μm SOI CMOS technology
N Qiao, G Zhang, B Yang, Z Liu, F Yu
Journal of Semiconductors 33 (9), 095005, 2012
142012
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor
O Richter, C Wu, AM Whatley, G Köstinger, C Nielsen, N Qiao, G Indiveri
Neuromorphic Computing and Engineering 4 (1), 014003, 2024
82024
2022 roadmap on neuromorphic devices and applications research in China
Q Wan, C Wan, H Wu, Y Yang, X Huang, P Zhou, L Chen, TY Wang, Y Li, ...
Neuromorphic Computing and Engineering 2 (4), 042501, 2022
82022
Organizing sequential memory in a neuromorphic device using dynamic neural fields
R Kreiser, D Aathmani, N Qiao, G Indiveri, Y Sandamirskaya
Frontiers in neuroscience 12, 407706, 2018
82018
22.6 anp-i: A 28nm 1.5 pj/sop asynchronous spiking neural network processor enabling sub-o. 1 μj/sample on-chip learning for edge-ai applications
J Zhang, D Huo, J Zhang, C Qian, Q Liu, L Pan, Z Wang, N Qiao, KT Tang, ...
2023 IEEE International Solid-State Circuits Conference (ISSCC), 21-23, 2023
7*2023
Synthetic aperture imaging with events and frames
W Liao, X Zhang, L Yu, S Lin, W Yang, N Qiao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
72022
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