Timothée Masquelier

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 63

Top Topics

Object Recognition

Bilinear Interpolation

Top Venues

Frontiers Comput. Neurosci.

Neural Networks

Publications

Alireza Nadafian, Milad Mozafari, Timothée Masquelier, Mohammad Ganjtabesh
Brain-inspired Computational Modeling of Action Recognition with Recurrent Spiking Neural Networks Equipped with Reinforcement Delay Learning. CoRR (2024)
Ilyass Hammouamri, Ismail Khalfaoui Hassani, Timothée Masquelier
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings. ICLR (2024)
Thomas Pellegrini, Ismail Khalfaoui Hassani, Etienne Labbé, Timothée Masquelier
Adapting a ConvNeXt model to audio classification on AudioSet. CoRR (2023)
Zahra Imani, Mehdi Ezoji, Timothée Masquelier
Brain-guided manifold transferring to improve the performance of spiking neural networks in image classification. J. Comput. Neurosci. 51 (4) (2023)
Ilyass Hammouamri, Ismail Khalfaoui Hassani, Timothée Masquelier
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings. CoRR (2023)
Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier
Spike time displacement-based error backpropagation in convolutional spiking neural networks. Neural Comput. Appl. 35 (21) (2023)
Ismail Khalfaoui Hassani, Timothée Masquelier, Thomas Pellegrini
Audio classification with Dilated Convolution with Learnable Spacings. CoRR (2023)
Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. CoRR (2023)
Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies. NeurIPS (2023)
Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier
Dilated Convolution with Learnable Spacings: beyond bilinear interpolation. CoRR (2023)
Javier Cuadrado, Ulysse Rançon, Benoit Cottereau, Francisco Barranco, Timothée Masquelier
Optical Flow estimation with Event-based Cameras and Spiking Neural Networks. CoRR (2023)
Thomas Pellegrini, Ismail Khalfaoui Hassani, Etienne Labbé, Timothée Masquelier
Adapting a ConvNeXt Model to Audio Classification on AudioSet. INTERSPEECH (2023)
Wei Fang, Zhaofei Yu, Zhaokun Zhou, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability. CoRR (2023)
Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier
Dilated convolution with learnable spacings. ICLR (2023)
Ulysse Rançon, Javier Cuadrado-Anibarro, Benoit R. Cottereau, Timothée Masquelier
StereoSpike: Depth Learning With a Spiking Neural Network. IEEE Access 10 (2022)
Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning. Neural Process. Lett. 54 (2) (2022)
Ali Rasteh, Florian Delpech, Carlos Aguilar Melchor, Romain Zimmer, Saeed Bagheri Shouraki, Timothée Masquelier
Encrypted internet traffic classification using a supervised spiking neural network. Neurocomputing 503 (2022)
Alireza Azadbakht, Saeed Reza Kheradpisheh, Ismail Khalfaoui Hassani, Timothée Masquelier
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing. CoRR (2022)
Ilyass Hammouamri, Timothée Masquelier, Dennis George Wilson
Mitigating Catastrophic Forgetting in Spiking Neural Networks through Threshold Modulation. Trans. Mach. Learn. Res. 2022 (2022)
Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier
Spiking Neural Networks Trained via Proxy. IEEE Access 10 (2022)
Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier
Training Spiking Neural Networks with Event-driven Backpropagation. NeurIPS (2022)
Thomas Pellegrini, Romain Zimmer, Timothée Masquelier
Low-Activity Supervised Convolutional Spiking Neural Networks Applied to Speech Commands Recognition. SLT (2021)
Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian
Deep Residual Learning in Spiking Neural Networks. NeurIPS (2021)
Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. ICCV (2021)
Thomas Pellegrini, Timothée Masquelier
Fast threshold optimization for multi-label audio tagging using Surrogate gradient learning. CoRR (2021)
Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier
Spiking neural networks trained via proxy. CoRR (2021)
Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier
STiDi-BP: Spike time displacement based error backpropagation in multilayer spiking neural networks. Neurocomputing 427 (2021)
Ulysse Rançon, Javier Cuadrado-Anibarro, Benoit R. Cottereau, Timothée Masquelier
StereoSpike: Depth Learning with a Spiking Neural Network. CoRR (2021)
Guillaume Debat, Tushar Chauhan, Benoit Cottereau, Timothée Masquelier, Michel Paindavoine, Robin Baures
Event-Based Trajectory Prediction Using Spiking Neural Networks. Frontiers Comput. Neurosci. 15 (2021)
Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier
Spike time displacement based error backpropagation in convolutional spiking neural networks. CoRR (2021)
Timothée Masquelier
Back-propagation Now Works in Spiking Neural Networks!. ERCIM News 2021 (125) (2021)
Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier
Dilated convolution with learnable spacings. CoRR (2021)
Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian
Spike-based Residual Blocks. CoRR (2021)
Thomas Pellegrini, Timothée Masquelier
Fast Threshold Optimization for Multi-Label Audio Tagging Using Surrogate Gradient Learning. ICASSP (2021)
Ali Rasteh, Florian Delpech, Carlos Aguilar Melchor, Romain Zimmer, Saeed Bagheri Shouraki, Timothée Masquelier
Encrypted Internet traffic classification using a supervised Spiking Neural Network. CoRR (2021)
Saeed Reza Kheradpisheh, Timothée Masquelier
Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron. Int. J. Neural Syst. 30 (6) (2020)
Pouya Soltani Zarrin, Romain Zimmer, Christian Wenger, Timothée Masquelier
Epileptic Seizure Detection Using a Neuromorphic-Compatible Deep Spiking Neural Network. IWBBIO (2020)
Thomas Pellegrini, Romain Zimmer, Timothée Masquelier
Low-activity supervised convolutional spiking neural networks applied to speech commands recognition. CoRR (2020)
Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning. CoRR (2020)
Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony Maida
Deep learning in spiking neural networks. Neural Networks 111 (2019)
Romain Zimmer, Thomas Pellegrini, Srisht Fateh Singh, Timothée Masquelier
Technical report: supervised training of convolutional spiking neural networks with PyTorch. CoRR (2019)
Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks. Pattern Recognit. 94 (2019)
Saeed Reza Kheradpisheh, Timothée Masquelier
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron. CoRR (2019)
Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Timothée Masquelier
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron. CoRR (2019)
Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier
Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition. CoRR (2018)
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier
STDP-based spiking deep convolutional neural networks for object recognition. Neural Networks 99 (2018)
Jacob Huth, Timothée Masquelier, Angelo Arleo
Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing. Frontiers Neuroinformatics 12 (2018)
Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh
First-Spike-Based Visual Categorization Using Reward-Modulated STDP. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Timothée Masquelier, Saeed Reza Kheradpisheh
Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection. Frontiers Comput. Neurosci. 12 (2018)
Timothée Masquelier, Saeed Reza Kheradpisheh
Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection. CoRR (2018)
Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony S. Maida
Deep Learning in Spiking Neural Networks. CoRR (2018)
Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
Representation learning using event-based STDP. Neural Networks 105 (2018)
Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh
First-spike based visual categorization using reward-modulated STDP. CoRR (2017)
Amirreza Yousefzadeh, Timothée Masquelier, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
Hardware implementation of convolutional STDP for on-line visual feature learning. ISCAS (2017)
Amirreza Yousefzadeh, Timothée Masquelier, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
Live demonstration: Hardware implementation of convolutional STDP for on-line visual feature learning. ISCAS (2017)
Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
Representation Learning using Event-based STDP. CoRR (2017)
Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
Acquisition of Visual Features Through Probabilistic Spike-Timing-Dependent Plasticity. CoRR (2016)
Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier
Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. Frontiers Comput. Neurosci. 10 (2016)
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier
Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition. Neurocomputing 205 (2016)
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier
STDP-based spiking deep neural networks for object recognition. CoRR (2016)
Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
Acquisition of visual features through probabilistic spike-timing-dependent plasticity. IJCNN (2016)
Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier
Humans and deep networks largely agree on which kinds of variation make object recognition harder. CoRR (2016)
Timothée Masquelier
STDP allows close-to-optimal spatiotemporal spike pattern detection by single coincidence detector neurons. CoRR (2016)
Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier
Deep Networks Resemble Human Feed-forward Vision in Invariant Object Recognition. CoRR (2015)
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier
Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition. CoRR (2015)
Timothée Masquelier
Neural variability, or lack thereof. Frontiers Comput. Neurosci. 7 (2013)
Timothée Masquelier
Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model. J. Comput. Neurosci. 32 (3) (2012)
Matthieu Gilson, Timothée Masquelier, Etienne Hugues
STDP Allows Fast Rate-Modulated Coding with Poisson-Like Spike Trains. PLoS Comput. Biol. 7 (10) (2011)
Timothée Masquelier, Simon J. Thorpe
Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity. IJCNN (2010)
Timothée Masquelier, Rudy Guyonneau, Simon J. Thorpe
Competitive STDP-Based Spike Pattern Learning. Neural Comput. 21 (5) (2009)
Timothée Masquelier, Simon J. Thorpe
Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity. PLoS Comput. Biol. 3 (2) (2007)