Melika Payvand

Position:	Professor
Email:	melika@ini.uzh.ch
Work phone:	635 30 68
Home page:	https://www.ini.uzh.ch/en/research/groups/EIS.html

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.

Sub-Projects

Teaching

INI-401, 227-1037-00 Introduction to Neuroinformatics

INI-404, 227-1033-00 Neuromorphic Engineering I

INI-405, 227-1032-00 Neuromorphic Engineering II

INI-431, 227-1045-00 Readings in Neuroinformatics

Publications

2024

Dalgaty, Thomas and Moro, Filippo and Demirağ, Yiğit and De Pra, Alessio and Indiveri, Giacomo and Vianello, Elisa and Payvand, Melika Mosaic: in-memory computing and routing for small-world spike-based neuromorphic systems, Nature Communications, 2024

2023

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 Transactions on Biomedical Circuits and Systems, 2023
Arianna Rubino, Matteo Cartiglia, Melika Payvand, Giacomo Indiveri Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks, 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023
Jimmy Weber, Chenxi Wu, Melika Payvand GMap: An Open-source Efficient Compiler for Mapping any Network onto any Neuromophic Chip, Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023
Junren Chen, Siyao Yang, Huaqiang Wu, Giacomo Indiveri, Melika Payvand Scaling limits of memristor-based routers for asynchronous neuromorphic systems, IEEE Transcation in Circuits and Systems II, 2023
Junren Chen, Siyao Yang, Huaqiang Wu, Giacomo Indiveri, Melika Payvand Scaling Limits of Memristor-Based Routers for Asynchronous Neuromorphic Systems, IEEE Transactions on Circuits and Systems II: Express Briefs, 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, Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023
S. D’Agostino; F. Moro; T. Hirtzlin; J. Arcamone; N. Castellani; D. Querlioz; M. Payvand; E. Vianello Synaptic metaplasticity with multi-level memristive devices, 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023
Simone DAgostino, 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, arXiv, 2023

2022

Filippo Moro; E. Esmanhotto; T. Hirtzlin; N. Castellani; A. Trabelsi; T. Dalgaty; G. Molas; F. Andrieu; S. Brivio; S. Spiga; G. Indiveri; M. Payand; E. Vianello Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks, IEEE International Symposium on Circuits and Systems, 2022
Filippo Moro, Emmanuel Hardy, Bruno Fain, Thomas Dalgaty, Paul Clémençon, Alessio De Prà, Eduardo Esmanhotto, Niccolò Castellani, François Blard, François Gardien, Thomas Mesquida, François Rummens, David Esseni, Jérôme Casas, Giacomo Indiveri, Melika Payvand & Elisa Vianello Neuromorphic object localization using resistive memories and ultrasonic transducers, Nature Communications, 13:(95), 2022
Junren Chen, Chenxi Wu, Giacomo Indiveri, Melika Payvand Reliability Analysis of Memristor Crossbar Routers: Collisions and On/off Ratio Requirement, 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2022 pdf
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, 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022
Melika Payvand, Filippo Moro, Kumiko Nomura, Thomas Dalgaty, Elisa Vianello, Yoshifumi Nishi, Giacomo Indiveri Self-organization of an inhomogeneous memristive hardware for sequence learning, Nature Communications, 13:(5793), 2022
Rohit Abraham John, Yiğit Demirağ, Yevhen Shynkarenko, Yuliia Berezovska, Natacha Ohannessian, Melika Payvand, Peng Zeng, Maryna I. Bodnarchuk, Frank Krumeich, Gökhan Kara, Ivan Shorubalko, Manu V. Nair, Graham A. Cooke, Thomas Lippert, Giacomo Indiveri & Maksym V. Kovalenko Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing, Nature Communications(13), 2022
Shyam Narayanan; Erika Covi; Viktor Havel; Charlotte Frenkel; Suzanne Lancaster; Quang Duong; Stefan Slesazeck; Thomas Mikolajick; Melika Payvand; Giacomo Indiveri A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices, IEEE International Symposium on Circuits and Systems, 2022
Thomas Bohnstingl; Anja Šurina; Maxime Fabre; Yiğit Demirağ; Charlotte Frenkel; Melika Payvand; Giacomo Indiveri; Angeliki Pantazi Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware, IEEE Artificial Intelligence Circuits and Systems , 2022
Younes Bouhadjar, Caterina Moruzzi, Melika Payvand An Algorithmic Principle Meeting Neuroscience and Machine Learning Halfway, International Joint Conference on Learning & Reasoning , 2022

2021

Christopher Bengel, Felix Cüppers, Melika Payvand, Regina Dittmann, Rainer Waser, Susanne Hoffmann-Eifert, Stephan Menzel 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, Frontiers in Neuroscience, 15:, 2021
Covi, Erika, Elisa Donati, Hadi Heidari, David Kappel, Xiangpeng Liang, Melika Payvand, and Wei Wang Adaptive Extreme Edge Computing for Wearable Devices, Frontiers in Neuroscience, 2021
Melika Payvand, Elisa Donati, Giacomo Indiveri NEUROTECH - A European Community of Experts on Neuromorphic Technologies, Brain-inspired Computing, 2021
Melika Payvand, Filippo Moro, Kumiko Nomura, Thomas Dalgaty, Elisa Vianello, Yoshifumi Nishi, Giacomo Indiveri MEMSORN: Self-organization of an inhomogeneous memristive hardware for sequence learning, Research Square Preprint, 2021
Thomas Dalgaty, Filippo Moro, Alessio De Pra, Giacomo Indiveri, Elisa Vianello, Melika Payvand The neuromorphic Mosaic: re-configurable in-memory small-world graphs, Research Square Preprint, 2021
Yigit Demirag, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses, arXiv:2108.01804, 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, 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 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

Arianna Rubino, Melika Payvand, Giacomo Indiveri Ultra-Low Power Silicon Neuron Circuit for Extreme-Edge Neuromorphic Intelligence, IEEE International Conference on Electronics Circuits and Systems (ICECS), 2019 ICECS2019_Rubino_Payvand_Indiveri.pdf
Elisa Donati, Melika Payvand, Nicoletta Risi, Renate Krause, Giacomo Indiveri Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network, IEEE Transactions on Biomedical Circuits and Systems , 13:(5), 2019
Enea Ceolini, Gemma Taverni, Lyes Khacef, Melika Payvand, Elisa Donati Sensor fusion using EMG and vision for hand gesture classification in mobile applications, 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) 1-4, 2019
Melika Payvand, Giacomo Indiveri Spike-Based Plasticity Circuits for Always-on On-Line Learning in Neuromorphic Systems, IEEE International Symposium on Circuits and Systems, 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, IEEE International Symposium on Circuits and Systems, 2019
Thomas Dalgaty, Melika Payvand, Filippo Moro, Denys RB Ly, Florian Pebay-Peyroula, Jerome Casas, Giacomo Indiveri, Elisa Vianello Hybrid neuromorphic circuits exploiting non-conventional properties of RRAM for massively parallel local plasticity mechanisms, APL Materials, 7:(8), 2019

2018

Elisa Donati, Melika Payvand, Nicoletta Risi, Renate Krause, Karla Burelo, Thomas Dalgaty, and Elisa Vianello, Giacomo Indiveri Processing EMG signals using reservoir computing on an event-based neuromorphic system, IEEE Biomedical Circuits and Systems Conference(BioCAS), 2018
Melika Payvand, Lorenz K Muller, Giacomo Indiveri Event-based circuits for controlling stochastic learning with memristive devices in neuromorphic architectures, IEEE International Symposium on Circuits and Systems (ISCAS) 1-5, 2018
Melika Payvand, Manu Nair, Lorenz K Muller, Giacomo Indiveri A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation, Faraday Discussions, 2018

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