A CMOS-memristive self-learning neural network for pattern classification applications. - Melika Payvand; Justin Rofeh; Avantika Sodhi; Luke Theogarajan (NANOARCH, 2014)

A configurable CMOS memory platform for 3D-integrated memristors. - Melika Payvand; Advait Madhavan; Miguel Angel Lastras-Montaño; Amirali Ghofrani; Justin Rofeh; Kwang-Ting Cheng; Dmitri B. Strukov; Luke Theogarajan (ISCAS, 2015)

Exploiting local connectivity of CMOL architecture for highly parallel orientation selective neuromorphic chips. - Melika Payvand; Luke Theogarajan (NANOARCH, 2015)

A Low-Power Variation-Aware Adaptive Write Scheme for Access-Transistor-Free Memristive Memory. - Amirali Ghofrani; Miguel Angel Lastras-Montaño; Siddharth Gaba; Melika Payvand; Wei Lu 003; Luke Theogarajan; Kwang-Ting Cheng (ACM J. Emerg. Technol. Comput. Syst., 2015)

Processing EMG signals using reservoir computing on an event-based neuromorphic system. - Elisa Donati; Melika Payvand; Nicoletta Risi; Renate Krause; Karla Burelo; Giacomo Indiveri; Thomas Dalgaty; Elisa Vianello (BioCAS, 2018)

Event-based circuits for controlling stochastic learning with memristive devices in neuromorphic architectures. - Melika Payvand; Lorenz K. Müller; Giacomo Indiveri (ISCAS, 2018)

A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation. - Melika Payvand; Manu V. Nair; Lorenz K. Müller; Giacomo Indiveri (CoRR, 2018)

From Winner-Takes-All to Winners-Share-All: Exploiting the Information Capacity in Temporal Codes. - Melika Payvand; Luke Theogarajan (Neural Comput., 2018)

Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications. - Enea Ceolini; Gemma Taverni; Lyes Khacef; Melika Payvand; Elisa Donati (BioCAS, 2019)

Sensor fusion using EMG and vision for hand gesture classification in mobile applications. - Enea Ceolini; Gemma Taverni; Lyes Khacef; Melika Payvand; Elisa Donati (BioCAS, 2019)

Ultra-Low Power Silicon Neuron Circuit for Extreme-Edge Neuromorphic Intelligence. - Arianna Rubino; Melika Payvand; Giacomo Indiveri (ICECS, 2019)

Hybrid CMOS-RRAM Neurons with Intrinsic Plasticity. - Thomas Dalgaty; Melika Payvand; Barbara De Salvo; Jerome Casas; Giusy Lama; Etienne Nowak; Giacomo Indiveri; Elisa Vianello (ISCAS, 2019)

Spike-Based Plasticity Circuits for Always-on On-Line Learning in Neuromorphic Systems. - Melika Payvand; Giacomo Indiveri (ISCAS, 2019)

Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network. - Elisa Donati; Melika Payvand; Nicoletta Risi; Renate Krause; Giacomo Indiveri (IEEE Trans. Biomed. Circuits Syst., 2019)

Error-triggered Three-Factor Learning Dynamics for Crossbar Arrays. - Melika Payvand; Mohammed E. Fouda; Fadi J. Kurdahi; Ahmed M. Eltawil; Emre O. Neftci (AICAS, 2020)

Lessons Learned the Hard Way. - Tobi Delbruck; Ibrahim Abe M. Elfadel; Shahzad Muzaffar; Germain Haessig; Bo Wang 012; Amine Bermak; Rui Graca; Luis A. Camuñas-Mesa; Bathiya Senevirathna; Pamela Abshire; Bernabé Linares-Barranco; Saeed Afshar; et al. (ISCAS, 2020)

Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning. - Melika Payvand; Yigit Demirag; Thomas Dalgaty; Elisa Vianello; Giacomo Indiveri (ISCAS, 2020)

Adaptive Extreme Edge Computing for Wearable Devices. - Erika Covi; Elisa Donati; Hadi Heidari; David Kappel; Xiangpeng Liang; Melika Payvand; Wei Wang 209 (CoRR, 2020)

On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks. - Melika Payvand; Mohammed E. Fouda; Fadi J. Kurdahi; Ahmed M. Eltawil; Emre O. Neftci (IEEE J. Emerg. Sel. Topics Circuits Syst., 2020)

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. - Mostafa Rahimi Azghadi; Corey Lammie; Jason Kamran Eshraghian; Melika Payvand; Elisa Donati; Bernabé Linares-Barranco; Giacomo Indiveri (IEEE Trans. Biomed. Circuits Syst., 2020)

Low-Energy and Fast Spiking Neural Network For Context-Dependent Learning on FPGA. - Hajar Asgari; Babak Mazloom-Nezhad Maybodi; Melika Payvand; Mostafa Rahimi Azghadi (IEEE Trans. Circuits Syst., 2020)

PCM-Trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials. - Yigit Demirag; Filippo Moro; Thomas Dalgaty; Gabriele Navarro; Charlotte Frenkel; Giacomo Indiveri; Elisa Vianello; Melika Payvand (ISCAS, 2021)

Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses. - Yigit Demirag; Charlotte Frenkel; Melika Payvand; Giacomo Indiveri (CoRR, 2021)

NEUROTECH - A European Community of Experts on Neuromorphic Technologies. - Melika Payvand; Elisa Donati; Giacomo Indiveri (ERCIM News, 2021)

Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence. - Arianna Rubino; Can Livanelioglu; Ning Qiao; Melika Payvand; Giacomo Indiveri (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware. - Thomas Bohnstingl; Anja Surina; Maxime Fabre; Yigit Demirag; Charlotte Frenkel; Melika Payvand; Giacomo Indiveri; Angeliki Pantazi (AICAS, 2022)

Prediction: An Algorithmic Principle Meeting Neuroscience and Machine Learning Halfway. - Younes Bouhadjar; Caterina Moruzzi; Melika Payvand (HLC, 2022)

Reliability Analysis of Memristor Crossbar Routers: Collisions and On/off Ratio Requirement. - Junren Chen; Chenxi Wu; Giacomo Indiveri; Melika Payvand (ICECS 2022, 2022)

Stochastic dendrites enable online learning in mixed-signal neuromorphic processing systems. - Matteo Cartiglia; Arianna Rubino; Shyam Narayanan; Charlotte Frenkel; Germain Haessig; Giacomo Indiveri; Melika Payvand (ISCAS, 2022)

Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks. - Filippo Moro; Eduardo Esmanhotto; Tifenn Hirtzlin; Niccolo Castellani; Ahmed Trabelsi; Thomas Dalgaty; Gabriel Molas; François Andrieu; Stefano Brivio; Sabina Spiga; Giacomo Indiveri; Melika Payvand; et al. (ISCAS, 2022)

A 120dB Programmable-Range On-Chip Pulse Generator for Characterizing Ferroelectric Devices. - Shyam Narayanan; Erika Covi; Viktor Havel; Charlotte Frenkel; Suzanne Lancaster; Quang T. Duong; Stefan Slesazeck; Thomas Mikolajick; Melika Payvand; Giacomo Indiveri (ISCAS, 2022)

Synaptic metaplasticity with multi-level memristive devices. - Simone D'Agostino; Filippo Moro; Tifenn Hirtzlin; Julien Arcamone; Niccolo Castellani; Damien Querlioz; Melika Payvand; Elisa Vianello (AICAS, 2023)

Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks. - Arianna Rubino; Matteo Cartiglia; Melika Payvand; Giacomo Indiveri (AICAS, 2023)

Dendritic Computation through Exploiting Resistive Memory as both Delays and Weights. - Melika Payvand; Simone D'Agostino; Filippo Moro; Yigit Demirag; Giacomo Indiveri; Elisa Vianello (ICONS, 2023)

GMap : An Open-source Efficient Compiler for Mapping any Network onto any Neuromophic Chip. - Jimmy Weber; Chenxi Wu; Melika Payvand (ICONS, 2023)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. - 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; et al. (CoRR, 2023)

DenRAM: Neuromorphic Dendritic Architecture with RRAM for Efficient Temporal Processing with Delays. - Simone D'Agostino; Filippo Moro; Tristan Torchet; Yigit Demirag; Laurent Grenouillet; Giacomo Indiveri; Elisa Vianello; Melika Payvand (CoRR, 2023)

Editorial: Focus issue on machine learning for neuromorphic engineering. - Melika Payvand; Emre Neftci; Friedemann Zenke (Neuromorph. Comput. Eng., 2023)

Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture. - Karthik Charan Raghunathan; Yigit Demirag; Emre Neftci; Melika Payvand (NICE, 2024)

DelGrad: Exact gradients in spiking networks for learning transmission delays and weights. - Julian Göltz; Jimmy Weber; Laura Kriener; Peter Lake; Melika Payvand; Mihai A. Petrovici (CoRR, 2024)

The Role of Temporal Hierarchy in Spiking Neural Networks. - Filippo Moro; Pau Vilimelis Aceituno; Laura Kriener; Melika Payvand (CoRR, 2024)

Editorial: Focus issue on in-memory computing. - Wei D. Lu; Melika Payvand; Yuchao Yang 001 (Neuromorph. Comput. Eng., 2024)

Flexible Unipolar IGZO Transistor-Based Integrate and Fire Neurons for Spiking Neuromorphic Applications. - 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; et al. (IEEE Trans. Biomed. Circuits Syst., 2024)

Scaling Limits of Memristor-Based Routers for Asynchronous Neuromorphic Systems. - Junren Chen; Siyao Yang; Huaqiang Wu; Giacomo Indiveri; Melika Payvand (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Event-based Audio Prediction with Spectro-Temporal Event-Graphs. - Lars Rafeldt; Thomas Mesquida; Hiroshi Nakano; Manon Dampfhoffer; Filippo Moro; Pascal Vivet; Melika Payvand; Thomas Dalgaty (ISCAS, 2025)

Hardware architecture and routing-aware training for optimal memory usage: a case study. - Jimmy Weber; Théo Ballet; Melika Payvand (NICE, 2025)

MINIMALIST: switched-capacitor circuits for efficient in-memory computation of gated recurrent units. - Sebastian Billaudelle; Laura Kriener; Filippo Moro; Tristan Torchet; Melika Payvand (CoRR, 2025)

Quantizing Small-Scale State-Space Models for Edge AI. - Leo Zhao; Tristan Torchet; Melika Payvand; Laura Kriener; Filippo Moro (CoRR, 2025)

Unified Memcapacitor-Memristor Memory for Synaptic Weights and Neuron Temporal Dynamics. - Simone D'Agostino; Marco Massarotto; Tristan Torchet; Filippo Moro; Niccolo Castellani; Laurent Grenouillet; Yann Beilliard; David Esseni; Melika Payvand; Elisa Vianello (CoRR, 2025)

mGRADE: Minimal Recurrent Gating Meets Delay Convolutions for Lightweight Sequence Modeling. - Tristan Torchet; Christian Metzner; Laura Kriener; Melika Payvand (CoRR, 2025)