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)

Metal Oxide Resistive Memory (OxRAM) and Phase Change Memory (PCM) as Artificial Synapses in Spiking Neural Networks. - Elisa Vianello; Denys R. B. Ly; Selina La Barbera; Thomas Dalgaty; Niccolo Castellani; Gabriele Navarro; Guillaume Bourgeois; Alexandre Valentian; Etienne Nowak; Damien Querlioz (ICECS, 2018)

Role of synaptic variability in spike-based neuromorphic circuits with unsupervised learning. - Denys R. B. Ly; Alessandro Grossi; Thilo Werner; Thomas Dalgaty; Claire Fenouillet-Béranger; Elisa Vianello; Etienne Nowak (ISCAS, 2018)

Insect-Inspired Elementary Motion Detection Embracing Resistive Memory and Spiking Neural Networks. - Thomas Dalgaty; Elisa Vianello; Denys Ly; Giacomo Indiveri; Barbara De Salvo; Etienne Nowak; Jerome Casas (Living Machines, 2018)

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)

Entropy source characterization in HfO2 RRAM for TRNG applications. - Florian Pebay-Peyroula; Thomas Dalgaty; Elisa Vianello (DTIS, 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)

In-situ learning harnessing intrinsic resistive memory variability through Markov Chain Monte Carlo Sampling. - Thomas Dalgaty; Niccolo Castellani; Damien Querlioz; Elisa Vianello (CoRR, 2020)

Harnessing intrinsic memristor randomness with Bayesian neural networks. - Thomas Dalgaty; Elisa Vianello; Damien Querlioz (ICICDT, 2021)

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)

Ex Situ Transfer of Bayesian Neural Networks to Resistive Memory-Based Inference Hardware. - Thomas Dalgaty; Eduardo Esmanhotto; Niccolo Castellani; Damien Querlioz; Elisa Vianello (Adv. Intell. Syst., 2021)

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)

SLIM-Net: Rethinking how neural networks use systolic arrays. - Thomas Dalgaty; Maria Lepecq (AICAS, 2023)

G2N2: Lightweight Event Stream Classification with GRU Graph Neural Networks. - Thomas Mesquida; Manon Dampfhoffer; Thomas Dalgaty; Pascal Vivet; Amos Sironi; Christoph Posch (BMVC, 2023)

HUGNet: Hemi-Spherical Update Graph Neural Network applied to low-latency event-based optical flow. - Thomas Dalgaty; Thomas Mesquida; Damien Joubert; Amos Sironi; Pascal Vivet; Christoph Posch (CVPR Workshops, 2023)

The CNN vs. SNN Event-camera Dichotomy and Perspectives For Event-Graph Neural Networks. - Thomas Dalgaty; Thomas Mesquida; Damien Joubert; Amos Sironi; Cyrille Soubeyrat; Pascal Vivet; Christoph Posch (DATE, 2023)

Scaling-up Memristor Monte Carlo with magnetic domain-wall physics. - Thomas Dalgaty; Shogo Yamada; Anca Molnos; Eiji Kawasaki; Thomas Mesquida; François Rummens; Tatsuo Shibata; Yukihiro Urakawa; Yukio Terasaki; Tomoyuki Sasaki; Marc Duranton (CoRR, 2023)

Bayesian Metaplasticity from Synaptic Uncertainty. - Djohan Bonnet; Tifenn Hirtzlin; Tarcisius Januel; Thomas Dalgaty; Damien Querlioz; Elisa Vianello (CoRR, 2023)

End-to-End Implementation of a Convolutional Neural Network on a 3D-Integrated Image Sensor with Macropixel Array. - Maria Lepecq; Thomas Dalgaty; William Fabre; Stéphane Chevobbe (Sensors, 2023)

Compressed vector-matrix multiplication for Memristor-based ensemble neural networks. - Phan Anh Vu; François Rummens; Marielle Malfante; Bertrand Rivet; Thomas Dalgaty (ICRC, 2024)

Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA. - Hiroshi Nakano; Krzysztof Blachut; Kamil Jeziorek; Piotr Wzorek; Manon Dampfhoffer; Thomas Mesquida; Hiroaki Nishi; Tomasz Kryjak; Thomas Dalgaty (ARC, 2025)

Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision. - Manon Dampfhoffer; Thomas Mesquida; Damien Joubert; Thomas Dalgaty; Pascal Vivet; Christoph Posch (CVPR, 2025)

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)

Bayesian continual learning and forgetting in neural networks. - Djohan Bonnet; Kellian Cottart; Tifenn Hirtzlin; Tarcisius Januel; Thomas Dalgaty; Elisa Vianello; Damien Querlioz (CoRR, 2025)