Ning Qiao
Ning Qiao
Verified email at ini.uzh.ch
Title
Cited by
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, 141, 2015
4302015
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
2202017
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
1192015
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
992018
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
312016
A 10-bit 50-MS/s reference-free low power SAR ADC in 0.18-μm SOI CMOS technology
Q Ning, Z Guoquan, Y Bo, L Zhongli, Y Fang
Journal of Semiconductors 33 (9), 095005, 2012
142012
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
132019
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
132014
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
122017
Networks and hierarchical routing fabrics with heterogeneous memory structures for scalable event-driven computing systems
S Moradi, G Indiveri, Q Ning, F Stefanini
US Patent App. 15/569,773, 2018
92018
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
82017
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
72019
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
62019
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
42019
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, 717, 2018
42018
Automatic gain control of ultra-low leakage synaptic scaling homeostatic plasticity circuits
N Qiao, G Indiveri, C Bartolozzi
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 156-159, 2016
42016
A 14-bit wide temperature range differential SAR ADC with an on-chip multi-segment BGR
Q Ning, G Jiantou, Z Kai, Y Bo, L Zhongli, Y Fang
Journal of Semiconductors 32 (8), 085003, 2011
42011
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, 2020
32020
Wide dynamic range weights and biologically realistic synaptic dynamics for spike-based learning circuits
D Sumislawska, N Qiao, M Pfeiffer, G Indiveri
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2491-2494, 2016
32016
An auto-scaling wide dynamic range current to frequency converter for real-time monitoring of signals in neuromorphic systems
N Qiao, G Indiveri
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 160-163, 2016
22016
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Articles 1–20