Melika Payvand

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 53

Top Topics

Eligibility Traces

Top Venues

IEEE Trans. Biomed. Circuits Syst.

Publications

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 (2024)
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) (2024)
Wei D. Lu, Melika Payvand, Yuchao Yang
Editorial: Focus issue on in-memory computing. Neuromorph. Comput. Eng. 4 (3) (2024)
Filippo Moro, Pau Vilimelis Aceituno, Laura Kriener, Melika Payvand
The Role of Temporal Hierarchy in Spiking Neural Networks. CoRR (2024)
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) (2024)
Karthik Charan Raghunathan, Yigit Demirag, Emre Neftci, Melika Payvand
Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture. NICE (2024)
Melika Payvand, Emre Neftci, Friedemann Zenke
Editorial: Focus issue on machine learning for neuromorphic engineering. Neuromorph. Comput. Eng. 3 (3) (2023)
Jimmy Weber, Chenxi Wu, Melika Payvand
GMap : An Open-source Efficient Compiler for Mapping any Network onto any Neuromophic Chip. ICONS (2023)
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 (2023)
Arianna Rubino, Matteo Cartiglia, Melika Payvand, Giacomo Indiveri
Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks. CoRR (2023)
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 (2023)
Arianna Rubino, Matteo Cartiglia, Melika Payvand, Giacomo Indiveri
Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks. AICAS (2023)
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)
Junren Chen, Siyao Yang, Huaqiang Wu, Giacomo Indiveri, Melika Payvand
Scaling Limits of Memristor-Based Routers for Asynchronous Neuromorphic Systems. CoRR (2023)
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 (2023)
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)
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 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 (2023)
Junren Chen, Chenxi Wu, Giacomo Indiveri, Melika Payvand
Reliability Analysis of Memristor Crossbar Routers: Collisions and On/off Ratio Requirement. ICECS 2022 (2022)
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 (2022)
Younes Bouhadjar, Caterina Moruzzi, Melika Payvand
Prediction: An Algorithmic Principle Meeting Neuroscience and Machine Learning Halfway. HLC (2022)
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)
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 (2022)
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)
Filippo Moro, Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, A. Trabelsi, Thomas Dalgaty, Gabriel Molas, F. Andrieu, Stefano Brivio, S. Spiga, Giacomo Indiveri, Melika Payvand, Elisa Vianello
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks. CoRR (2022)
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)
Filippo Moro, Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, A. 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)
Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri
Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses. CoRR (2021)
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) (2021)
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)
Melika Payvand, Elisa Donati, Giacomo Indiveri
NEUROTECH - A European Community of Experts on Neuromorphic Technologies. ERCIM News 2021 (125) (2021)
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 (2021)
Erika Covi, Elisa Donati, Hadi Heidari, David Kappel, Xiangpeng Liang, Melika Payvand, Wei Wang
Adaptive Extreme Edge Computing for Wearable Devices. CoRR (2020)
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)
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 (2020)
Arianna Rubino, Can Livanelioglu, Ning Qiao, Melika Payvand, Giacomo Indiveri
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence. CoRR (2020)
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)
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. (11) (2020)
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 (2020)
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) (2020)
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)
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) (2020)
Arianna Rubino, Melika Payvand, Giacomo Indiveri
Ultra-Low Power Silicon Neuron Circuit for Extreme-Edge Neuromorphic Intelligence. ICECS (2019)
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)
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)
Melika Payvand, Giacomo Indiveri
Spike-Based Plasticity Circuits for Always-on On-Line Learning in Neuromorphic Systems. ISCAS (2019)
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) (2019)
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)
Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati
Sensor fusion using EMG and vision for hand gesture classification in mobile applications. CoRR (2019)
Melika Payvand, Mohammed E. Fouda, Fadi J. Kurdahi, Ahmed M. Eltawil, Emre O. Neftci
Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays. CoRR (2019)
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 (2018)
Melika Payvand, Luke Theogarajan
From Winner-Takes-All to Winners-Share-All: Exploiting the Information Capacity in Temporal Codes. Neural Comput. 30 (3) (2018)
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)
Melika Payvand, Lorenz K. Müller, Giacomo Indiveri
Event-based circuits for controlling stochastic learning with memristive devices in neuromorphic architectures. ISCAS (2018)
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) (2015)
Melika Payvand, Luke Theogarajan
Exploiting local connectivity of CMOL architecture for highly parallel orientation selective neuromorphic chips. NANOARCH (2015)
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)
Melika Payvand, Justin Rofeh, Avantika Sodhi, Luke Theogarajan
A CMOS-memristive self-learning neural network for pattern classification applications. NANOARCH (2014)