Melika Payvand
Melika Payvand
Assistant Professor at Institute of Neuroinformatics, UZH and ETH Zurich
Verified email at - Homepage
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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 14, 520438, 2020
Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing
RA John, Y Demirağ, Y Shynkarenko, Y Berezovska, N Ohannessian, ...
Nature communications 13 (1), 2074, 2022
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
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
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
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
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
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), 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
Utilizing the switching stochasticity of HfO2/TiOx-based ReRAM devices and the concept of multiple device synapses for the classification of overlapping and noisy patterns
C Bengel, F Cüppers, M Payvand, R Dittmann, R Waser, ...
Frontiers in neuroscience 15, 661856, 2021
PCM-trace: scalable synaptic eligibility traces with resistivity drift of phase-change materials
Y Demirağ, F Moro, T Dalgaty, G Navarro, C Frenkel, G Indiveri, ...
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
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
Self-organization of an inhomogeneous memristive hardware for sequence learning
M Payvand, F Moro, K Nomura, T Dalgaty, E Vianello, Y Nishi, G Indiveri
Nature communications 13 (1), 5793, 2022
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
Neuromorphic object localization using resistive memories and ultrasonic transducers
MPEV Filippo Moro, Emmanuel Hardy, Bruno Fain, Thomas Dalgaty, Paul ...
Nature Communications 13, 2022
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
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
Analog weight updates with compliance current modulation of binary ReRAMs for on-chip learning
M Payvand, Y Demirag, T Dalgaty, E Vianello, G Indiveri
2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020
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