Melika Payvand
Melika Payvand
Assistant Professor at Institute of Neuroinformatics, UZH and ETH Zurich
Zweryfikowany adres z ini.uzh.ch
Cytowane przez
Cytowane przez
A multiply-add engine with monolithically integrated 3D memristor crossbar/CMOS hybrid circuit
B Chakrabarti, MA Lastras-Montaño, G Adam, M Prezioso, B Hoskins, ...
Scientific reports 7 (1), 42429, 2017
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
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, 637, 2020
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
A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation
M Payvand, MV Nair, LK Müller, G Indiveri
Faraday Discussions 213, 487-510, 2019
Adaptive extreme edge computing for wearable devices
E Covi, E Donati, X Liang, D Kappel, H Heidari, M Payvand, W Wang
Frontiers in Neuroscience 15, 611300, 2021
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
Processing EMG signals using reservoir computing on an event-based neuromorphic system
E Donati, M Payvand, N Risi, R Krause, K Burelo, G Indiveri, T Dalgaty, ...
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018
Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing
RA John, Y Demirağ, Y Shynkarenko, Y Berezovska, N Ohannessian, ...
Nature communications 13 (1), 2074, 2022
Hybrid neuromorphic circuits exploiting non-conventional properties of RRAM for massively parallel local plasticity mechanisms
T Dalgaty, M Payvand, F Moro, DRB Ly, F Pebay-Peyroula, J Casas, ...
APL Materials 7 (8), 081125, 2019
Ultra-low power silicon neuron circuit for extreme-edge neuromorphic intelligence
A Rubino, M Payvand, G Indiveri
2019 26th IEEE International Conference on Electronics, Circuits and Systems …, 2019
Error-triggered three-factor learning dynamics for crossbar arrays
M Payvand, ME Fouda, F Kurdahi, A Eltawil, EO Neftci
2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020
On-chip error-triggered learning of multi-layer memristive spiking neural networks
M Payvand, ME Fouda, F Kurdahi, AM Eltawil, EO Neftci
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 (4 …, 2020
A CMOS-memristive self-learning neural network for pattern classification applications
M Payvand, J Rofeh, A Sodhi, L Theogarajan
Proceedings of the 2014 IEEE/ACM International Symposium on Nanoscale …, 2014
Utilizing the Switching Stochasticity of HfO2/TiOx-Based ReRAM Devices and the Concept of Multiple Device Synapses for the Classification of Overlapping and …
C Bengel, F Cüppers, M Payvand, R Dittmann, R Waser, ...
Frontiers in neuroscience 15, 661856, 2021
Event-based circuits for controlling stochastic learning with memristive devices in neuromorphic architectures
M Payvand, LK Muller, G Indiveri
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
Spike-based plasticity circuits for always-on on-line learning in neuromorphic systems
M Payvand, G Indiveri
2019 IEEE international symposium on circuits and systems (ISCAS), 1-5, 2019
Vertical integration of memristors onto foundry CMOS dies using wafer-scale integration
J Rofeh, A Sodhi, M Payvand, MA Lastras-Montaño, A Ghofrani, ...
2015 IEEE 65th Electronic Components and Technology Conference (ECTC), 957-962, 2015
Sensor fusion using EMG and vision for hand gesture classification in mobile applications
E Ceolini, G Taverni, L Khacef, M Payvand, E Donati
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2019
A low-power variation-aware adaptive write scheme for access-transistor-free memristive memory
A Ghofrani, MA Lastras-Montano, S Gaba, M Payvand, W Lu, ...
ACM Journal on Emerging Technologies in Computing Systems (JETC) 12 (1), 1-18, 2015
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20