Timothée Masquelier

According to our database, Timothée Masquelier authored at least 54 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Brain-guided manifold transferring to improve the performance of spiking neural networks in image classification.

Zahra Imani, Mehdi Ezoji, Timothée Masquelier

J. Comput. Neurosci., November, 2023

Spike time displacement-based error backpropagation in convolutional spiking neural networks.

Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier

Neural Comput. Appl., July, 2023

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence.

Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian

CoRR, 2023

Audio classification with Dilated Convolution with Learnable Spacings.

Ismail Khalfaoui Hassani, Timothée Masquelier, Thomas Pellegrini

CoRR, 2023

Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings.

Ilyass Hammouamri, Ismail Khalfaoui Hassani, Timothée Masquelier

CoRR, 2023

Adapting a ConvNeXt model to audio classification on AudioSet.

Thomas Pellegrini, Ismail Khalfaoui Hassani, Etienne Labbé, Timothée Masquelier

CoRR, 2023

Dilated Convolution with Learnable Spacings: beyond bilinear interpolation.

Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier

CoRR, 2023

Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability.

Wei Fang, Zhaofei Yu, Zhaokun Zhou, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian

CoRR, 2023

Optical Flow estimation with Event-based Cameras and Spiking Neural Networks.

Javier Cuadrado, Ulysse Rançon, Benoit Cottereau, Francisco Barranco, Timothée Masquelier

CoRR, 2023

Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies.

Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dilated convolution with learnable spacings.

Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Mitigating Catastrophic Forgetting in Spiking Neural Networks through Threshold Modulation.

Ilyass Hammouamri, Timothée Masquelier, Dennis George Wilson

Trans. Mach. Learn. Res., 2022

BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning.

Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier

Neural Process. Lett., 2022

Encrypted internet traffic classification using a supervised spiking neural network.

Ali Rasteh, Florian Delpech, Carlos Aguilar Melchor, Romain Zimmer, Saeed Bagheri Shouraki, Timothée Masquelier

Neurocomputing, 2022

Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing.

Alireza Azadbakht, Saeed Reza Kheradpisheh, Ismail Khalfaoui Hassani, Timothée Masquelier

CoRR, 2022

StereoSpike: Depth Learning With a Spiking Neural Network.

Ulysse Rançon, Javier Cuadrado-Anibarro, Benoit R. Cottereau, Timothée Masquelier

IEEE Access, 2022

Spiking Neural Networks Trained via Proxy.

Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier

IEEE Access, 2022

Training Spiking Neural Networks with Event-driven Backpropagation.

Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

STiDi-BP: Spike time displacement based error backpropagation in multilayer spiking neural networks.

Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier

Neurocomputing, 2021

Event-Based Trajectory Prediction Using Spiking Neural Networks.

Guillaume Debat, Tushar Chauhan, Benoit Cottereau, Timothée Masquelier, Michel Paindavoine, Robin Baures

Frontiers Comput. Neurosci., 2021

Back-propagation Now Works in Spiking Neural Networks!.

Timothée Masquelier

ERCIM News, 2021

Spike-based Residual Blocks.

Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian

CoRR, 2021

Low-Activity Supervised Convolutional Spiking Neural Networks Applied to Speech Commands Recognition.

Thomas Pellegrini, Romain Zimmer, Timothée Masquelier

Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Deep Residual Learning in Spiking Neural Networks.

Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks.

Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fast Threshold Optimization for Multi-Label Audio Tagging Using Surrogate Gradient Learning.

Thomas Pellegrini, Timothée Masquelier

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron.

Saeed Reza Kheradpisheh, Timothée Masquelier

Int. J. Neural Syst., 2020

Epileptic Seizure Detection Using a Neuromorphic-Compatible Deep Spiking Neural Network.

Pouya Soltani Zarrin, Romain Zimmer, Christian Wenger, Timothée Masquelier

Proceedings of the Bioinformatics and Biomedical Engineering, 2020

2019

Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks.

Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier

Pattern Recognit., 2019

Deep learning in spiking neural networks.

Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony Maida

Neural Networks, 2019

Technical report: supervised training of convolutional spiking neural networks with PyTorch.

Romain Zimmer, Thomas Pellegrini, Srisht Fateh Singh, Timothée Masquelier

CoRR, 2019

S4NN: temporal backpropagation for spiking neural networks with one spike per neuron.

Saeed Reza Kheradpisheh, Timothée Masquelier

CoRR, 2019

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron.

Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Timothée Masquelier

CoRR, 2019

Spike-Timing-Dependent-Plasticity with Memristors.

Teresa Serrano-Gotarredona, Timothée Masquelier, Bernabé Linares-Barranco

Proceedings of the Handbook of Memristor Networks., 2019

2018

First-Spike-Based Visual Categorization Using Reward-Modulated STDP.

Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh

IEEE Trans. Neural Networks Learn. Syst., 2018

Representation learning using event-based STDP.

Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida

Neural Networks, 2018

STDP-based spiking deep convolutional neural networks for object recognition.

Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier

Neural Networks, 2018

Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing.

Jacob Huth, Timothée Masquelier, Angelo Arleo

Frontiers Neuroinformatics, 2018

Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection.

Timothée Masquelier, Saeed Reza Kheradpisheh

Frontiers Comput. Neurosci., 2018

Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition.

Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier

CoRR, 2018

2017

Hardware implementation of convolutional STDP for on-line visual feature learning.

Amirreza Yousefzadeh, Timothée Masquelier, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Live demonstration: Hardware implementation of convolutional STDP for on-line visual feature learning.

Amirreza Yousefzadeh, Timothée Masquelier, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016

Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition.

Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier

Neurocomputing, 2016

Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder.

Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier

Frontiers Comput. Neurosci., 2016

STDP allows close-to-optimal spatiotemporal spike pattern detection by single coincidence detector neurons.

Timothée Masquelier

CoRR, 2016

STDP-based spiking deep neural networks for object recognition.

Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier

CoRR, 2016

Acquisition of visual features through probabilistic spike-timing-dependent plasticity.

Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Deep Networks Resemble Human Feed-forward Vision in Invariant Object Recognition.

Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier

CoRR, 2015

2013

Neural variability, or lack thereof.

Timothée Masquelier

Frontiers Comput. Neurosci., 2013

2012

Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model.

Timothée Masquelier

J. Comput. Neurosci., 2012

2011

STDP Allows Fast Rate-Modulated Coding with Poisson-Like Spike Trains.

Matthieu Gilson, Timothée Masquelier, Etienne Hugues

PLoS Comput. Biol., 2011

2010

Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity.

Timothée Masquelier, Simon J. Thorpe

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Competitive STDP-Based Spike Pattern Learning.

Timothée Masquelier, Rudy Guyonneau, Simon J. Thorpe

Neural Comput., 2009

2007

Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity.

Timothée Masquelier, Simon J. Thorpe

PLoS Comput. Biol., 2007