Melika Payvand

Position:
Professor
Email:
Work phone:
635 30 68
Home page:
The question that drives me is to understand how intelligence emerges from the structure of its underlying substrate which will help me build intelligent systems. I combine the understandings from neuroscience, machine learning, electrical engineering and device physics in a co-design fashion towards building low-power and high-density intelligent systems. These systems have applications in a variety of autonomous sensory-motor systems/agents on the edge, capable of real-time inference and online learning.

Teaching

INI-404, 227-1033-00 Neuromorphic Engineering I
INI-405, 227-1032-00 Neuromorphic Engineering II

Publications

2025

  • Billaudelle, Sebastian and Kriener, Laura and Moro, Filippo and Torchet, Tristan and Payvand, Melika MINIMALIST: switched-capacitor circuits for efficient in-memory computation of gated recurrent units, ArXiv, 2025
  • David Dahmen, Axel Hutt, Giacomo Indiveri, Ann Kennedy, Jeremie Lefebvre, Luca Mazzucato, Adilson E Motter, Rishikesh Narayanan, Melika Payvand, Henrike Planert, Richard Gast How heterogeneity shapes dynamics and computation in the brain, Neuron, 2025
  • Göltz, Julian and Weber, Jimmy and Kriener, Laura and Billaudelle, Sebastian and Lake, Peter and Schemmel, Johannes and Payvand, Melika and Petrovici, Mihai A. DelGrad: exact event-based gradients for training delays and weights on spiking neuromorphic hardware, Nature Communications, 2025
  • Kudithipudi, Dhireesha and Schuman, Catherine and Vineyard, Craig M. and Pandit, Tej and Merkel, Cory and Kubendran, Rajkumar and Aimone, James B. and Orchard, Garrick and Mayr, Christian and Benosman, Ryad and Hays, Joe and Young, Cliff and Bartolozzi, Chiara and Majumdar, Amitava and Cardwell, Suma George and Payvand, Melika and Buckley, Sonia and Kulkarni, Shruti and Gonzalez, Hector A. and Cauwenberghs, Gert and Thakur, Chetan Singh and Subramoney, Anand and Furber, Steve Neuromorphic computing at scale, Nature 801-812, 2025
  • Leo Zhao, Tristan Torchet, Melika Payvand, Laura Kriener, Filippo Moro Quantizing Small-Scale State-Space Models for Edge AI, ICONS '25: Proceedings of the International Conference on Neuromorphic Systems, 2025
  • Torchet, Tristan and Metzner, Christian and Kriener, Laura and Payvand, Melika mGRADE: Minimal Recurrent Gating Meets Delay Convolutions for Lightweight Sequence Modeling, ArXiv, 2025
  • Yik, Jason and Van den Berghe, Korneel and den Blanken, Douwe and Bouhadjar, Younes and Fabre, Maxime and Hueber, Paul and Ke, Weijie and Khoei, Mina A. and Kleyko, Denis and Pacik-Nelson, Noah and Pierro, Alessandro and Stratmann, Philipp and Sun, Pao-Sheng Vincent and Tang, Guangzhi and Wang, Shenqi and Zhou, Biyan and Ahmed, Soikat Hasan and Vathakkattil Joseph, George and Leto, Benedetto and Micheli, Aurora and Mishra, Anurag Kumar and Lenz, Gregor and Sun, Tao and Ahmed, Zergham and Akl, Mahmoud and Anderson, Brian and Andreou, Andreas G. and Bartolozzi, Chiara and Basu, Arindam and Bogdan, Petrut and Bohte, Sander and Buckley, Sonia and Cauwenberghs, Gert and Chicca, Elisabetta and Corradi, Federico and de Croon, Guido and Danielescu, Andreea and Daram, Anurag and Davies, Mike and Demirag, Yigit and Eshraghian, Jason and Fischer, Tobias and Forest, Jeremy and Fra, Vittorio and Furber, Steve and Furlong, P. Michael and Gilpin, William and Gilra, Aditya and Gonzalez, Hector A. and Indiveri, Giacomo and Joshi, Siddharth and Karia, Vedant and Khacef, Lyes and Knight, James C. and Kriener, Laura and Kubendran, Rajkumar and Kudithipudi, Dhireesha and Liu, Shih-Chii and Liu, Yao-Hong and Ma, Haoyuan and Manohar, Rajit and Margarit-Taulé, Josep Maria and Mayr, Christian and Michmizos, Konstantinos and Muir, Dylan R. and Neftci, Emre and Nowotny, Thomas and Ottati, Fabrizio and Ozcelikkale, Ayca and Panda, Priyadarshini and Park, Jongkil and Payvand, Melika and Pehle, Christian and Petrovici, Mihai A. and Posch, Christoph and Renner, Alpha and Sandamirskaya, Yulia and Schaefer, Clemens J. S. and van Schaik, André and Schemmel, Johannes and Schmidgall, Samuel and Schuman, Catherine and Seo, Jae-sun and Sheik, Sadique and Shrestha, Sumit Bam and Sifalakis, Manolis and Sironi, Amos and Stewart, Kenneth and Stewart, Matthew and Stewart, Terrence C. and Timcheck, Jonathan and Tömen, Nergis and Urgese, Gianvito and Verhelst, Marian and Vineyard, Craig M. and Vogginger, Bernhard and Yousefzadeh, Amirreza and Zohora, Fatima Tuz and Frenkel, Charlotte and Reddi, Vijay Janapa The neurobench framework for benchmarking neuromorphic computing algorithms and systems, Nature Communications, 2025

2024

2023

2022

2021

2020

  • Arianna Rubino; Can Livanelioglu; Ning Qiao; Melika Payvand; Giacomo Indiveri Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence, IEEE Transactions on Circuits and Systems I: Regular Papers, Volume: 68:(Issue: 1) 45 - 56, 2020
  • Enea Ceolini, Charlotte Frenkel, Sumit Bam Shrestha, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati Hand-gesture recognition based on EMG and event-based camera sensor fusion: a benchmark in neuromorphic computing, Frontiers in Neuroscience, 2020 pdf
  • 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 Transactions on Circuits and Systems II: Express Briefs, 67:(11) 2697 - 2701, 2020
  • Melika Payvand, Mohammed E. Fouda, Fadi Kurdahi, Ahmed Eltawil, Emre O. Neftci Error-triggered three-factor learning dynamics for crossbar arrays, 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2020 pdf
  • Melika Payvand, Mohammed E Fouda, Fadi Kurdahi, Ahmed M Eltawil, Emre O Neftci On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2020
  • Melika Payvand, Yigit Demirag, Thomas Dalgathy, Elisa Vianello, Giacomo Indiveri Analog weight updates with compliance current modulation of binary ReRAMs for on-chip learning, ISCAS, 2020 pdf
  • Mostafa Rahimiazghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabe Linares-Barranco, Giacomo Indiveri Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications, IEEE Transactions on Biomedical Circuits and Systems, 2020
  • Tobi Delbruck, Ibrahim Abe M Elfadel, Shahzad Muzaffar, Germain Haessig, Bo Wang, Amine Bermak, Rui Graca, Luis Camuńas-Mesa, Bathiya Senevirathna, Pamela Abshire, Bernabe Linares-Barranco, Saeed Afshar, Shih-Chii Liu, Runchun Mark Wang, Piotr Dudek, Stephen Carey, Jose de la Rosa, Marc Dandin, Sheung Lu, Vincent Frick, Teresa Serrano-Gotarredona, Paula Lopez, Melika Payvand, Advait Madhavan, Eric Fossum, J Camilo Vasquez Tieck, Ian Williams, Yan Liu, Timothy Constandinou, Alexander Serb, Ricardo Carmona-Galan, Robert Nawrocki, Walter D Leon-Salas Lessons Learned the Hard Way, 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020
  • Giacomo Indiveri, Bernabe Linares Barranco, Melika Payvand System-level integration in neuromorphic co-processors, Memristive Devices for Brain-Inspired Computing, 2020 pdf

2019

2018