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ORCIDMelika Payvand
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- affiliation: University of Zürich, Switzerland
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2020 – today
- 2024
[j11]Wei D. Lu
, Melika Payvand, Yuchao Yang:
Editorial: Focus issue on in-memory computing. Neuromorph. Comput. Eng. 4(3): 30201 (2024)- [j10]Ana Lebanov, Mauricio Velazquez Lopez, Florian De Roose, Nikolas P. Papadopoulos, Giacomo Indiveri, Arianna Rubino, Melika Payvand, Steve Smout, Myriam Willegems, Francky Catthoor, Jan Genoe, Paul Heremans, Kris Myny:
Flexible Unipolar IGZO Transistor-Based Integrate and Fire Neurons for Spiking Neuromorphic Applications. IEEE Trans. Biomed. Circuits Syst. 18(1): 200-214 (2024) - [j9]Junren Chen, Siyao Yang, Huaqiang Wu, Giacomo Indiveri, Melika Payvand:
Scaling Limits of Memristor-Based Routers for Asynchronous Neuromorphic Systems. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1576-1580 (2024) - [c25]Karthik Charan Raghunathan, Yigit Demirag, Emre Neftci, Melika Payvand:
Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture. NICE 2024: 1-8 - [i22]Julian Göltz, Jimmy Weber, Laura Kriener, Peter Lake, Melika Payvand, Mihai A. Petrovici:
DelGrad: Exact gradients in spiking networks for learning transmission delays and weights. CoRR abs/2404.19165 (2024) - [i21]Filippo Moro, Pau Vilimelis Aceituno, Laura Kriener, Melika Payvand:
The Role of Temporal Hierarchy in Spiking Neural Networks. CoRR abs/2407.18838 (2024) - [i20]Jimmy Weber, Théo Ballet, Melika Payvand:
Hardware architecture and routing-aware training for optimal memory usage: a case study. CoRR abs/2412.01575 (2024) - 2023
- [j8]Melika Payvand, Emre Neftci, Friedemann Zenke:
Editorial: Focus issue on machine learning for neuromorphic engineering. Neuromorph. Comput. Eng. 3(3): 30403 (2023) - [c24]Simone D'Agostino, Filippo Moro, Tifenn Hirtzlin, Julien Arcamone, Niccolo Castellani, Damien Querlioz, Melika Payvand, Elisa Vianello:
Synaptic metaplasticity with multi-level memristive devices. AICAS 2023: 1-5 - [c23]Arianna Rubino, Matteo Cartiglia, Melika Payvand, Giacomo Indiveri:
Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks. AICAS 2023: 1-5 - [c22]Melika Payvand, Simone D'Agostino, Filippo Moro, Yigit Demirag, Giacomo Indiveri, Elisa Vianello:
Dendritic Computation through Exploiting Resistive Memory as both Delays and Weights. ICONS 2023: 27:1-27:4 - [c21]Jimmy Weber, Chenxi Wu, Melika Payvand:
GMap : An Open-source Efficient Compiler for Mapping any Network onto any Neuromophic Chip. ICONS 2023: 30:1-30:4 - [e3]Catherine D. Schuman, Melika Payvand, Maryam Parsa:
Proceedings of the 2023 International Conference on Neuromorphic Systems, ICONS 2023, Santa Fe, NM, USA, August 1-3, 2023. ACM 2023 [contents] - [i19]Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i18]Melika Payvand, Simone D'Agostino, Filippo Moro, Yigit Demirag, Giacomo Indiveri, Elisa Vianello:
Dendritic Computation through Exploiting Resistive Memory as both Delays and Weights. CoRR abs/2305.06941 (2023) - [i17]Simone D'Agostino, Filippo Moro, Tifenn Hirtzlin, Julien Arcamone, Niccolo Castellani, Damien Querlioz, Melika Payvand, Elisa Vianello:
Synaptic metaplasticity with multi-level memristive devices. CoRR abs/2306.12142 (2023) - [i16]Arianna Rubino, Matteo Cartiglia, Melika Payvand, Giacomo Indiveri:
Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks. CoRR abs/2307.06084 (2023) - [i15]Junren Chen, Siyao Yang, Huaqiang Wu, Giacomo Indiveri, Melika Payvand:
Scaling Limits of Memristor-Based Routers for Asynchronous Neuromorphic Systems. CoRR abs/2307.08116 (2023) - [i14]Simone D'Agostino, Filippo Moro, Tristan Torchet, Yigit Demirag, Laurent Grenouillet, Giacomo Indiveri, Elisa Vianello, Melika Payvand:
DenRAM: Neuromorphic Dendritic Architecture with RRAM for Efficient Temporal Processing with Delays. CoRR abs/2312.08960 (2023) - 2022
- [c20]Thomas Bohnstingl, Anja Surina, Maxime Fabre, Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri, Angeliki Pantazi:
Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware. AICAS 2022: 218-221 - [c19]Younes Bouhadjar, Caterina Moruzzi, Melika Payvand:
Prediction: An Algorithmic Principle Meeting Neuroscience and Machine Learning Halfway. HLC 2022: 46-52 - [c18]Junren Chen, Chenxi Wu, Giacomo Indiveri, Melika Payvand:
Reliability Analysis of Memristor Crossbar Routers: Collisions and On/off Ratio Requirement. ICECS 2022 2022: 1-4 - [c17]Filippo Moro, Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, Ahmed Trabelsi, Thomas Dalgaty, Gabriel Molas, François Andrieu, Stefano Brivio, Sabina Spiga, Giacomo Indiveri, Melika Payvand, Elisa Vianello:
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks. ISCAS 2022: 380-383 - [c16]Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand:
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. ISCAS 2022: 476-480 - [c15]Shyam Narayanan, Erika Covi, Viktor Havel, Charlotte Frenkel, Suzanne Lancaster, Quang T. Duong, Stefan Slesazeck, Thomas Mikolajick, Melika Payvand, Giacomo Indiveri:
A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices. ISCAS 2022: 717-721 - [e2]Thomas E. Potok, Catherine D. Schuman, Melika Payvand, Prasanna Date, Shruti R. Kulkarni, Yiran Chen, Robinson E. Pino, Brad Aimone, Mutsumi Kimura, Gregory Cohen, David Whittaker, Gordon Hirsch Wilson:
ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27 - 29, 2022. ACM 2022, ISBN 978-1-4503-9789-6 [contents] - [i13]Matteo Cartiglia, Arianna Rubino, Shyam Narayanan, Charlotte Frenkel, Germain Haessig, Giacomo Indiveri, Melika Payvand:
Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. CoRR abs/2201.10409 (2022) - [i12]Shyam Narayanan, Erika Covi, Viktor Havel, Charlotte Frenkel, Suzanne Lancaster, Quang T. Duong, Stefan Slesazeck, Thomas Mikolajick, Melika Payvand, Giacomo Indiveri:
A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices. CoRR abs/2202.04049 (2022) - [i11]Filippo Moro, Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, Ahmed Trabelsi, Thomas Dalgaty, Gabriel Molas, François Andrieu, Stefano Brivio, Sabina Spiga, Giacomo Indiveri, Melika Payvand, Elisa Vianello:
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks. CoRR abs/2202.05094 (2022) - 2021
- [j7]Arianna Rubino, Can Livanelioglu, Ning Qiao, Melika Payvand, Giacomo Indiveri:
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. 68(1): 45-56 (2021) - [c14]Yigit Demirag, Filippo Moro, Thomas Dalgaty, Gabriele Navarro, Charlotte Frenkel, Giacomo Indiveri, Elisa Vianello, Melika Payvand:
PCM-Trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials. ISCAS 2021: 1-5 - [e1]Thomas E. Potok, Melika Payvand, Catherine D. Schuman, Prasanna Date, Mutsumi Kimura, Cory E. Merkel, Brad Aimone, Sonia M. Buckley, Yiran Chen, Gregory Cohen, Todd Hylton, Robert M. Patton, Robinson E. Pino, Garrett S. Rose:
ICONS 2021: International Conference on Neuromorphic Systems 2021, Knoxville, TN, USA, July 27-29, 2021. ACM 2021, ISBN 978-1-4503-8691-3 [contents] - [i10]Yigit Demirag, Filippo Moro, Thomas Dalgaty, Gabriele Navarro, Charlotte Frenkel, Giacomo Indiveri, Elisa Vianello, Melika Payvand:
PCM-trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials. CoRR abs/2102.07260 (2021) - [i9]Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri:
Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses. CoRR abs/2108.01804 (2021) - [i8]Melika Payvand, Elisa Donati, Giacomo Indiveri:
NEUROTECH - A European Community of Experts on Neuromorphic Technologies. ERCIM News 2021(125) (2021) - 2020
- [j6]Melika Payvand, Mohammed E. Fouda, Fadi J. Kurdahi, Ahmed M. Eltawil, Emre O. Neftci:
On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 522-535 (2020) - [j5]Mostafa Rahimi Azghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri:
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. IEEE Trans. Biomed. Circuits Syst. 14(6): 1138-1159 (2020) - [j4]Hajar Asgari, Babak Mazloom-Nezhad Maybodi, Melika Payvand, Mostafa Rahimi Azghadi:
Low-Energy and Fast Spiking Neural Network For Context-Dependent Learning on FPGA. IEEE Trans. Circuits Syst. 67-II(11): 2697-2701 (2020) - [c13]Melika Payvand, Mohammed E. Fouda, Fadi J. Kurdahi, Ahmed M. Eltawil, Emre O. Neftci:
Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays. AICAS 2020: 218-222 - [c12]Tobi Delbrück, Ibrahim Abe M. Elfadel, Shahzad Muzaffar, Germain Haessig, Bo Wang, Amine Bermak, Rui Graca, Luis A. Camuñas-Mesa, Bathiya Senevirathna, Pamela Abshire, Bernabé Linares-Barranco, Saeed Afshar, Shih-Chii Liu, Runchun Mark Wang, Piotr Dudek, Stephen J. Carey, José M. de la Rosa, Marc Dandin, Sheung Lu, Vincent Frick, Teresa Serrano-Gotarredona, Paula López, Melika Payvand, Advait Madhavan, Eric R. Fossum, Juan Camilo Vasquez Tieck, Ian Williams, Yan Liu, Timothy G. Constandinou, Alexander Serb, Ricardo Carmona-Galán, Robert Nawrocki, Walter D. Leon-Salas:
Lessons Learned the Hard Way. ISCAS 2020: 1-18 - [c11]Melika Payvand, Yigit Demirag, Thomas Dalgaty, Elisa Vianello, Giacomo Indiveri:
Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning. ISCAS 2020: 1-5 - [i7]Arianna Rubino, Can Livanelioglu, Ning Qiao, Melika Payvand, Giacomo Indiveri:
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence. CoRR abs/2006.14270 (2020) - [i6]Mostafa Rahimi Azghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri:
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. CoRR abs/2007.05657 (2020) - [i5]Melika Payvand, Mohammed E. Fouda, Fadi J. Kurdahi, Ahmed M. Eltawil, Emre O. Neftci:
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks. CoRR abs/2011.10852 (2020) - [i4]Erika Covi, Elisa Donati, Hadi Heidari, David Kappel, Xiangpeng Liang, Melika Payvand, Wei Wang:
Adaptive Extreme Edge Computing for Wearable Devices. CoRR abs/2012.14937 (2020)
2010 – 2019
- 2019
- [j3]Elisa Donati, Melika Payvand, Nicoletta Risi, Renate Krause, Giacomo Indiveri:
Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network. IEEE Trans. Biomed. Circuits Syst. 13(5): 795-803 (2019) - [c10]Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati:
Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications. BioCAS 2019: 1 - [c9]Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati:
Sensor fusion using EMG and vision for hand gesture classification in mobile applications. BioCAS 2019: 1-4 - [c8]Arianna Rubino, Melika Payvand, Giacomo Indiveri:
Ultra-Low Power Silicon Neuron Circuit for Extreme-Edge Neuromorphic Intelligence. ICECS 2019: 458-461 - [c7]Thomas Dalgaty, Melika Payvand, Barbara De Salvo, Jerome Casas, Giusy Lama, Etienne Nowak, Giacomo Indiveri, Elisa Vianello:
Hybrid CMOS-RRAM Neurons with Intrinsic Plasticity. ISCAS 2019: 1-5 - [c6]Melika Payvand, Giacomo Indiveri:
Spike-Based Plasticity Circuits for Always-on On-Line Learning in Neuromorphic Systems. ISCAS 2019: 1-5 - [i3]Melika Payvand, Mohammed E. Fouda, Fadi J. Kurdahi, Ahmed M. Eltawil, Emre O. Neftci:
Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays. CoRR abs/1910.06152 (2019) - [i2]Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati:
Sensor fusion using EMG and vision for hand gesture classification in mobile applications. CoRR abs/1910.11126 (2019) - 2018
- [j2]Melika Payvand, Luke Theogarajan:
From Winner-Takes-All to Winners-Share-All: Exploiting the Information Capacity in Temporal Codes. Neural Comput. 30(3) (2018) - [c5]Elisa Donati, Melika Payvand, Nicoletta Risi, Renate Krause, Karla Burelo, Giacomo Indiveri, Thomas Dalgaty, Elisa Vianello:
Processing EMG signals using reservoir computing on an event-based neuromorphic system. BioCAS 2018: 1-4 - [c4]Melika Payvand, Lorenz K. Müller, Giacomo Indiveri:
Event-based circuits for controlling stochastic learning with memristive devices in neuromorphic architectures. ISCAS 2018: 1-5 - [i1]Melika Payvand, Manu V. Nair, Lorenz K. Müller, Giacomo Indiveri:
A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation. CoRR abs/1807.05128 (2018) - 2015
- [j1]Amirali Ghofrani, Miguel Angel Lastras-Montaño, Siddharth Gaba, Melika Payvand, Wei Lu, Luke Theogarajan, Kwang-Ting Cheng:
A Low-Power Variation-Aware Adaptive Write Scheme for Access-Transistor-Free Memristive Memory. ACM J. Emerg. Technol. Comput. Syst. 12(1): 3:1-3:18 (2015) - [c3]Melika Payvand, Advait Madhavan, Miguel Angel Lastras-Montaño, Amirali Ghofrani, Justin Rofeh, Kwang-Ting Cheng, Dmitri B. Strukov, Luke Theogarajan:
A configurable CMOS memory platform for 3D-integrated memristors. ISCAS 2015: 1378-1381 - [c2]Melika Payvand, Luke Theogarajan:
Exploiting local connectivity of CMOL architecture for highly parallel orientation selective neuromorphic chips. NANOARCH 2015: 187-192 - 2014
- [c1]Melika Payvand, Justin Rofeh, Avantika Sodhi, Luke Theogarajan:
A CMOS-memristive self-learning neural network for pattern classification applications. NANOARCH 2014: 92-97
Coauthor Index
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