Timothée Masquelier

78 papers A* 6A 1B 2C 3Misc 1Journal 62Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	A 23.5 TOPS/W Depthwise Separable Convolution Accelerator for Event-based Depth Estimation. ISCAS Andres Brito, Tomomasa Yamasaki, Ulysse Rançon, Timothée Masquelier, Benoit R. Cottereau, Anh Tuan Do, Bo Wang
2025	J	`jnl`	Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields. CoRR Peng Xue, Wei Fang, Zhengyu Ma, Zihan Huang, Zhaokun Zhou, Yonghong Tian, Timothée Masquelier, Huihui Zhou
2025	J	`jnl`	DelRec: learning delays in recurrent spiking neural networks. CoRR Alexandre Queant, Ulysse Rançon, Benoit R. Cottereau, Timothée Masquelier
2024	J	`jnl`	A general model unifying the adaptive, transient and sustained properties of ON and OFF auditory neural responses. PLoS Comput. Biol. Ulysse Rançon, Timothée Masquelier, Benoit R. Cottereau
2024	J	`jnl`	Brain-inspired Computational Modeling of Action Recognition with Recurrent Spiking Neural Networks Equipped with Reinforcement Delay Learning. CoRR Alireza Nadafian, Milad Mozafari, Timothée Masquelier, Mohammad Ganjtabesh
2024	J	`jnl`	Dilated Convolution with Learnable Spacings makes visual models more aligned with humans: a Grad-CAM study. CoRR Rabih Chamas, Ismail Khalfaoui Hassani, Timothée Masquelier
2024	J	`jnl`	ETTFS: An Efficient Training Framework for Time-to-First-Spike Neuron. CoRR Kaiwei Che, Wei Fang, Zhengyu Ma, Li Yuan, Timothée Masquelier, Yonghong Tian
2024	A*	`conf`	Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings. ICLR Ilyass Hammouamri, Ismail Khalfaoui Hassani, Timothée Masquelier
2023	A	`conf`	Adapting a ConvNeXt Model to Audio Classification on AudioSet. INTERSPEECH Thomas Pellegrini, Ismail Khalfaoui Hassani, Etienne Labbé, Timothée Masquelier
2023	J	`jnl`	Adapting a ConvNeXt model to audio classification on AudioSet. CoRR Thomas Pellegrini, Ismail Khalfaoui Hassani, Etienne Labbé, Timothée Masquelier
2023	J	`jnl`	Audio classification with Dilated Convolution with Learnable Spacings. CoRR Ismail Khalfaoui Hassani, Timothée Masquelier, Thomas Pellegrini
2023	J	`jnl`	Brain-guided manifold transferring to improve the performance of spiking neural networks in image classification. J. Comput. Neurosci. Zahra Imani, Mehdi Ezoji, Timothée Masquelier
2023	J	`jnl`	Dilated Convolution with Learnable Spacings: beyond bilinear interpolation. CoRR Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier
2023	A*	`conf`	Dilated convolution with learnable spacings. ICLR Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier
2023	J	`jnl`	Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings. CoRR Ilyass Hammouamri, Ismail Khalfaoui Hassani, Timothée Masquelier
2023	J	`jnl`	Optical Flow estimation with Event-based Cameras and Spiking Neural Networks. CoRR Javier Cuadrado, Ulysse Rançon, Benoit Cottereau, Francisco Barranco, Timothée Masquelier
2023	A*	`conf`	Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies. NeurIPS Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
2023	J	`jnl`	Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability. CoRR Wei Fang, Zhaofei Yu, Zhaokun Zhou, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian
2023	J	`jnl`	Spike time displacement-based error backpropagation in convolutional spiking neural networks. Neural Comput. Appl. Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier
2023	J	`jnl`	SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. CoRR Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian
2022	J	`jnl`	BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning. Neural Process. Lett. Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier
2022	J	`jnl`	Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing. CoRR Alireza Azadbakht, Saeed Reza Kheradpisheh, Ismail Khalfaoui Hassani, Timothée Masquelier
2022	J	`jnl`	Encrypted internet traffic classification using a supervised spiking neural network. Neurocomputing Ali Rasteh, Florian Delpech, Carlos Aguilar Melchor, Romain Zimmer, Saeed Bagheri Shouraki, Timothée Masquelier
2022	J	`jnl`	Mitigating Catastrophic Forgetting in Spiking Neural Networks through Threshold Modulation. Trans. Mach. Learn. Res. Ilyass Hammouamri, Timothée Masquelier, Dennis George Wilson
2022	J	`jnl`	Spiking Neural Networks Trained via Proxy. IEEE Access Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier
2022	J	`jnl`	StereoSpike: Depth Learning With a Spiking Neural Network. IEEE Access Ulysse Rançon, Javier Cuadrado-Anibarro, Benoit R. Cottereau, Timothée Masquelier
2022	A*	`conf`	Training Spiking Neural Networks with Event-driven Backpropagation. NeurIPS Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier
2021	J	`jnl`	Back-propagation Now Works in Spiking Neural Networks!. ERCIM News Timothée Masquelier
2021	A*	`conf`	Deep Residual Learning in Spiking Neural Networks. NeurIPS Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian
2021	J	`jnl`	Dilated convolution with learnable spacings. CoRR Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier
2021	J	`jnl`	Encrypted Internet traffic classification using a supervised Spiking Neural Network. CoRR Ali Rasteh, Florian Delpech, Carlos Aguilar Melchor, Romain Zimmer, Saeed Bagheri Shouraki, Timothée Masquelier
2021	J	`jnl`	Event-Based Trajectory Prediction Using Spiking Neural Networks. Frontiers Comput. Neurosci. Guillaume Debat, Tushar Chauhan, Benoit Cottereau, Timothée Masquelier, Michel Paindavoine, Robin Baures
2021	Misc	`conf`	Fast Threshold Optimization for Multi-Label Audio Tagging Using Surrogate Gradient Learning. ICASSP Thomas Pellegrini, Timothée Masquelier
2021	J	`jnl`	Fast threshold optimization for multi-label audio tagging using Surrogate gradient learning. CoRR Thomas Pellegrini, Timothée Masquelier
2021	A*	`conf`	Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. ICCV Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian
2021	—	`conf`	Low-Activity Supervised Convolutional Spiking Neural Networks Applied to Speech Commands Recognition. SLT Thomas Pellegrini, Romain Zimmer, Timothée Masquelier
2021	J	`jnl`	STiDi-BP: Spike time displacement based error backpropagation in multilayer spiking neural networks. Neurocomputing Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier
2021	J	`jnl`	Spike time displacement based error backpropagation in convolutional spiking neural networks. CoRR Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier
2021	J	`jnl`	Spike-based Residual Blocks. CoRR Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian
2021	J	`jnl`	Spiking neural networks trained via proxy. CoRR Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier
2021	J	`jnl`	StereoSpike: Depth Learning with a Spiking Neural Network. CoRR Ulysse Rançon, Javier Cuadrado-Anibarro, Benoit R. Cottereau, Timothée Masquelier
2020	J	`jnl`	BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning. CoRR Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier
2020	—	`conf`	Epileptic Seizure Detection Using a Neuromorphic-Compatible Deep Spiking Neural Network. IWBBIO Pouya Soltani Zarrin, Romain Zimmer, Christian Wenger, Timothée Masquelier
2020	J	`jnl`	Low-activity supervised convolutional spiking neural networks applied to speech commands recognition. CoRR Thomas Pellegrini, Romain Zimmer, Timothée Masquelier
2020	J	`jnl`	Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron. Int. J. Neural Syst. Saeed Reza Kheradpisheh, Timothée Masquelier
2019	J	`jnl`	Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks. Pattern Recognit. Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier
2019	J	`jnl`	Deep learning in spiking neural networks. Neural Networks Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony Maida
2019	J	`jnl`	S4NN: temporal backpropagation for spiking neural networks with one spike per neuron. CoRR Saeed Reza Kheradpisheh, Timothée Masquelier
2019	—	`ch.`	Spike-Timing-Dependent-Plasticity with Memristors. Handbook of Memristor Networks Teresa Serrano-Gotarredona, Timothée Masquelier, Bernabé Linares-Barranco
2019	J	`jnl`	SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron. CoRR Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Timothée Masquelier
2019	J	`jnl`	Technical report: supervised training of convolutional spiking neural networks with PyTorch. CoRR Romain Zimmer, Thomas Pellegrini, Srisht Fateh Singh, Timothée Masquelier
2018	J	`jnl`	Combining STDP and Reward-Modulated STDP in Deep Convolutional Spiking Neural Networks for Digit Recognition. CoRR Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, Simon J. Thorpe, Timothée Masquelier
2018	J	`jnl`	Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing. Frontiers Neuroinformatics Jacob Huth, Timothée Masquelier, Angelo Arleo
2018	J	`jnl`	Deep Learning in Spiking Neural Networks. CoRR Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony S. Maida
2018	J	`jnl`	First-Spike-Based Visual Categorization Using Reward-Modulated STDP. IEEE Trans. Neural Networks Learn. Syst. Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh
2018	J	`jnl`	Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection. Frontiers Comput. Neurosci. Timothée Masquelier, Saeed Reza Kheradpisheh
2018	J	`jnl`	Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection. CoRR Timothée Masquelier, Saeed Reza Kheradpisheh
2018	J	`jnl`	Representation learning using event-based STDP. Neural Networks Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
2018	J	`jnl`	STDP-based spiking deep convolutional neural networks for object recognition. Neural Networks Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier
2017	J	`jnl`	First-spike based visual categorization using reward-modulated STDP. CoRR Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh
2017	C	`conf`	Hardware implementation of convolutional STDP for on-line visual feature learning. ISCAS Amirreza Yousefzadeh, Timothée Masquelier, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
2017	C	`conf`	Live demonstration: Hardware implementation of convolutional STDP for on-line visual feature learning. ISCAS Amirreza Yousefzadeh, Timothée Masquelier, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
2017	J	`jnl`	Representation Learning using Event-based STDP. CoRR Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
2016	J	`jnl`	Acquisition of Visual Features Through Probabilistic Spike-Timing-Dependent Plasticity. CoRR Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
2016	B	`conf`	Acquisition of visual features through probabilistic spike-timing-dependent plasticity. IJCNN Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida
2016	J	`jnl`	Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition. Neurocomputing Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier
2016	J	`jnl`	Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. Frontiers Comput. Neurosci. Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier
2016	J	`jnl`	Humans and deep networks largely agree on which kinds of variation make object recognition harder. CoRR Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier
2016	J	`jnl`	STDP allows close-to-optimal spatiotemporal spike pattern detection by single coincidence detector neurons. CoRR Timothée Masquelier
2016	J	`jnl`	STDP-based spiking deep neural networks for object recognition. CoRR Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier
2015	J	`jnl`	Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition. CoRR Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier
2015	J	`jnl`	Deep Networks Resemble Human Feed-forward Vision in Invariant Object Recognition. CoRR Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier
2013	J	`jnl`	Neural variability, or lack thereof. Frontiers Comput. Neurosci. Timothée Masquelier
2012	J	`jnl`	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. Timothée Masquelier
2011	J	`jnl`	STDP Allows Fast Rate-Modulated Coding with Poisson-Like Spike Trains. PLoS Comput. Biol. Matthieu Gilson, Timothée Masquelier, Etienne Hugues
2010	B	`conf`	Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity. IJCNN Timothée Masquelier, Simon J. Thorpe
2009	J	`jnl`	Competitive STDP-Based Spike Pattern Learning. Neural Comput. Timothée Masquelier, Rudy Guyonneau, Simon J. Thorpe
2007	J	`jnl`	Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity. PLoS Comput. Biol. Timothée Masquelier, Simon J. Thorpe