StereoSpike: Depth Learning With a Spiking Neural Network. - Ulysse Rançon; Javier Cuadrado-Anibarro; Benoit R. Cottereau; Timothée Masquelier (IEEE Access, 2022)

FPGA implementation of a Spiking Neural Network for Real-Time Action Potential and Burst Detection. - Jérémy Cheslet; Romain Beaubois; Ulysse Rançon; Landry Bailly; Marie Bernert; Takashi Kohno; Blaise Yvert; Timothée Levi (BioCAS, 2023)

Optical Flow estimation with Event-based Cameras and Spiking Neural Networks. - Javier Cuadrado; Ulysse Rançon; Benoit Cottereau; Francisco Barranco; Timothée Masquelier (CoRR, 2023)

A general model unifying the adaptive, transient and sustained properties of ON and OFF auditory neural responses. - Ulysse Rançon; Timothée Masquelier; Benoit R. Cottereau (PLoS Comput. Biol., 2024)

A 23.5 TOPS/W Depthwise Separable Convolution Accelerator for Event-based Depth Estimation. - Andres Brito; Tomomasa Yamasaki; Ulysse Rançon; Timothée Masquelier; Benoit R. Cottereau; Anh Tuan Do; Bo Wang 020 (ISCAS, 2025)

Dreaming up scale invariance via inverse renormalization group. - Adam Rançon; Ulysse Rançon; Tomislav Ivek; Ivan Balog (CoRR, 2025)