Combining a volatile and nonvolatile memristor in artificial synapse to improve learning in Spiking Neural Networks. - Mahyar Shahsavari; Pierre Falez; Pierre Boulet (NANOARCH, 2016)

evt_MNIST: A spike based version of traditional MNIST. - Mazdak Fatahi; Mahmood Ahmadi; Mahyar Shahsavari; Arash Ahmadi; Philippe Devienne (CoRR, 2016)

Efficient CNTFET-based design of quaternary logic gates and arithmetic circuits. - Seyyed Ashkan Ebrahimi; Mohammad Reza Reshadinezhad; Ali Bohlooli; Mahyar Shahsavari (Microelectron. J., 2016)

Unconventional Computing Using Memristive Nanodevices: From Digital Computing to Brain-like Neuromorphic Accelerator. (Calcul non conventionnel avec des nanocomposants memristifs : du calcul numérique auxaccélérateurs neuromorphiques). - Mahyar Shahsavari (2016)

Memristor nanodevice for unconventional computing: review and applications. - Mahyar Shahsavari; Pierre Boulet (CoRR, 2017)

Parameter Exploration to Improve Performance of Memristor-Based Neuromorphic Architectures. - Mahyar Shahsavari; Pierre Boulet (IEEE Trans. Multi Scale Comput. Syst., 2018)

Spiking Neural Computing in Memristive Neuromorphic Platforms. - Mahyar Shahsavari; Philippe Devienne; Pierre Boulet (Handbook of Memristor Networks, 2019)

A Hardware/Application Overlay Model for Large-Scale Neuromorphic Simulation. - Alexander Rast; Mahyar Shahsavari; Graeme M. Bragg; Mark Vousden; David B. Thomas; Andrew D. Brown (IJCNN, 2020)

Neuromorphic Design Using Reward-based STDP Learning on Event-Based Reconfigurable Cluster Architecture. - Mahyar Shahsavari; David B. Thomas; Andrew D. Brown; Wayne Luk (ICONS, 2021)

Auto-tuning HyperParameters of SGD Matrix Factorization-Based Recommender Systems Using Genetic Algorithm. - Habib Irani; Fatemeh Elahi; Mahmood Fazlali; Mahyar Shahsavari; Bahareh J. Farahani (COINS, 2022)

Exploiting Federated Learning for EEG-based Brain-Computer Interface System. - Mohammadnavid Ghader; Bahar J. Farahani; Zahra Rezvani; Mahyar Shahsavari; Mahmood Fazlali (COINS, 2023)

Advancements in spiking neural network communication and synchronization techniques for event-driven neuromorphic systems. - Mahyar Shahsavari; David B. Thomas; Marcel van Gerven; Andrew D. Brown; Wayne Luk (Array, 2023)

Towards Music Instrument Classification using Convolutional Neural Networks. - Paul Tiemeijer; Mahyar Shahsavari; Mahmood Fazlali (COINS, 2024)

STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data. - Freek Hens; Mohammad Mahdi Dehshibi; Leila Bagheriye; Mahyar Shahsavari; Ana Tajadura-Jiménez (CoRR, 2024)

Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks. - Roel Koopman; Amirreza Yousefzadeh; Mahyar Shahsavari; Guangzhi Tang; Manolis Sifalakis (CoRR, 2024)

Energy-Efficient Spiking Recurrent Neural Network for Gesture Recognition on Embedded GPUs. - Marzieh Hassanshahi Varposhti; Mahyar Shahsavari; Marcel van Gerven (CoRR, 2024)

Spiking neural networks on FPGA: A survey of methodologies and recent advancements. - Mehrzad Karamimanesh; Ebrahim Abiri; Mahyar Shahsavari; Kourosh Hassanli; André van Schaik; Jason Eshraghian (Neural Networks, 2025)

GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network. - Stijn Groenen; Marzieh Hassanshahi Varposhti; Mahyar Shahsavari (CoRR, 2025)

Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series. - Amirhossein Sadough; Mahyar Shahsavari; Mark Wijtvliet; Marcel van Gerven (CoRR, 2025)