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2020 – today
- 2024
[j25]Ulysse Rançon, Timothée Masquelier, Benoit R. Cottereau
:
A general model unifying the adaptive, transient and sustained properties of ON and OFF auditory neural responses. PLoS Comput. Biol. 20(8): 1012288 (2024)- [c14]Ilyass Hammouamri, Ismail Khalfaoui Hassani, Timothée Masquelier:
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings. ICLR 2024 - [i35]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 abs/2406.11778 (2024) - [i34]Rabih Chamas, Ismail Khalfaoui Hassani, Timothée Masquelier:
Dilated Convolution with Learnable Spacings makes visual models more aligned with humans: a Grad-CAM study. CoRR abs/2408.03164 (2024) - [i33]Kaiwei Che, Wei Fang, Zhengyu Ma, Li Yuan, Timothée Masquelier, Yonghong Tian:
ETTFS: An Efficient Training Framework for Time-to-First-Spike Neuron. CoRR abs/2410.23619 (2024) - 2023
- [j24]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): 475-490 (2023) - [j23]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): 15891-15906 (2023) - [c13]Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier:
Dilated convolution with learnable spacings. ICLR 2023 - [c12]Thomas Pellegrini, Ismail Khalfaoui Hassani, Etienne Labbé, Timothée Masquelier:
Adapting a ConvNeXt Model to Audio Classification on AudioSet. INTERSPEECH 2023: 4169-4173 - [c11]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 - [i32]Javier Cuadrado, Ulysse Rançon, Benoit Cottereau, Francisco Barranco, Timothée Masquelier:
Optical Flow estimation with Event-based Cameras and Spiking Neural Networks. CoRR abs/2302.06492 (2023) - [i31]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 abs/2304.12760 (2023) - [i30]Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier:
Dilated Convolution with Learnable Spacings: beyond bilinear interpolation. CoRR abs/2306.00817 (2023) - [i29]Thomas Pellegrini, Ismail Khalfaoui Hassani, Etienne Labbé, Timothée Masquelier:
Adapting a ConvNeXt model to audio classification on AudioSet. CoRR abs/2306.00830 (2023) - [i28]Ilyass Hammouamri, Ismail Khalfaoui Hassani, Timothée Masquelier:
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings. CoRR abs/2306.17670 (2023) - [i27]Ismail Khalfaoui Hassani, Timothée Masquelier, Thomas Pellegrini:
Audio classification with Dilated Convolution with Learnable Spacings. CoRR abs/2309.13972 (2023) - [i26]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 abs/2310.16620 (2023) - 2022
- [j22]Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier:
Spiking Neural Networks Trained via Proxy. IEEE Access 10: 70769-70778 (2022) - [j21]Ulysse Rançon, Javier Cuadrado-Anibarro, Benoit R. Cottereau, Timothée Masquelier:
StereoSpike: Depth Learning With a Spiking Neural Network. IEEE Access 10: 127428-127439 (2022) - [j20]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: 272-282 (2022) - [j19]Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier:
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning. Neural Process. Lett. 54(2): 1255-1273 (2022) - [j18]Ilyass Hammouamri, Timothée Masquelier, Dennis George Wilson:
Mitigating Catastrophic Forgetting in Spiking Neural Networks through Threshold Modulation. Trans. Mach. Learn. Res. 2022 (2022) - [c10]Yaoyu Zhu, Zhaofei Yu, Wei Fang, Xiaodong Xie, Tiejun Huang, Timothée Masquelier:
Training Spiking Neural Networks with Event-driven Backpropagation. NeurIPS 2022 - [i25]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 abs/2210.14151 (2022) - 2021
- [j17]Guillaume Debat, Tushar Chauhan, Benoit Cottereau, Timothée Masquelier, Michel Paindavoine, Robin Baures:
Event-Based Trajectory Prediction Using Spiking Neural Networks. Frontiers Comput. Neurosci. 15: 658764 (2021) - [j16]Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier:
STiDi-BP: Spike time displacement based error backpropagation in multilayer spiking neural networks. Neurocomputing 427: 131-140 (2021) - [c9]Thomas Pellegrini, Timothée Masquelier:
Fast Threshold Optimization for Multi-Label Audio Tagging Using Surrogate Gradient Learning. ICASSP 2021: 651-655 - [c8]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: 2641-2651 - [c7]Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian:
Deep Residual Learning in Spiking Neural Networks. NeurIPS 2021: 21056-21069 - [c6]Thomas Pellegrini, Romain Zimmer, Timothée Masquelier:
Low-Activity Supervised Convolutional Spiking Neural Networks Applied to Speech Commands Recognition. SLT 2021: 97-103 - [i24]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 abs/2101.09818 (2021) - [i23]Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian:
Spike-based Residual Blocks. CoRR abs/2102.04159 (2021) - [i22]Thomas Pellegrini, Timothée Masquelier:
Fast threshold optimization for multi-label audio tagging using Surrogate gradient learning. CoRR abs/2103.00833 (2021) - [i21]Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier:
Spike time displacement based error backpropagation in convolutional spiking neural networks. CoRR abs/2108.13621 (2021) - [i20]Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier:
Spiking neural networks trained via proxy. CoRR abs/2109.13208 (2021) - [i19]Ulysse Rançon, Javier Cuadrado-Anibarro, Benoit R. Cottereau, Timothée Masquelier:
StereoSpike: Depth Learning with a Spiking Neural Network. CoRR abs/2109.13751 (2021) - [i18]Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier:
Dilated convolution with learnable spacings. CoRR abs/2112.03740 (2021) - [i17]Timothée Masquelier:
Back-propagation Now Works in Spiking Neural Networks!. ERCIM News 2021(125) (2021) - 2020
- [j15]Saeed Reza Kheradpisheh, Timothée Masquelier:
Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron. Int. J. Neural Syst. 30(6): 2050027:1-2050027:16 (2020) - [c5]Pouya Soltani Zarrin, Romain Zimmer, Christian Wenger, Timothée Masquelier:
Epileptic Seizure Detection Using a Neuromorphic-Compatible Deep Spiking Neural Network. IWBBIO 2020: 389-394 - [i16]Saeed Reza Kheradpisheh, Maryam Mirsadeghi, Timothée Masquelier:
BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning. CoRR abs/2007.04039 (2020) - [i15]Thomas Pellegrini, Romain Zimmer, Timothée Masquelier:
Low-activity supervised convolutional spiking neural networks applied to speech commands recognition. CoRR abs/2011.06846 (2020)
2010 – 2019
- 2019
- [j14]Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony Maida:
Deep learning in spiking neural networks. Neural Networks 111: 47-63 (2019) - [j13]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: 87-95 (2019) - [p1]Teresa Serrano-Gotarredona, Timothée Masquelier, Bernabé Linares-Barranco:
Spike-Timing-Dependent-Plasticity with Memristors. Handbook of Memristor Networks 2019: 429-467 - [i14]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 abs/1903.02440 (2019) - [i13]Saeed Reza Kheradpisheh, Timothée Masquelier:
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron. CoRR abs/1910.09495 (2019) - [i12]Romain Zimmer, Thomas Pellegrini, Srisht Fateh Singh, Timothée Masquelier:
Technical report: supervised training of convolutional spiking neural networks with PyTorch. CoRR abs/1911.10124 (2019) - 2018
- [j12]Timothée Masquelier, Saeed Reza Kheradpisheh:
Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection. Frontiers Comput. Neurosci. 12: 74 (2018) - [j11]Jacob Huth, Timothée Masquelier, Angelo Arleo:
Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing. Frontiers Neuroinformatics 12: 9 (2018) - [j10]Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier:
STDP-based spiking deep convolutional neural networks for object recognition. Neural Networks 99: 56-67 (2018) - [j9]Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida:
Representation learning using event-based STDP. Neural Networks 105: 294-303 (2018) - [j8]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): 6178-6190 (2018) - [i11]Timothée Masquelier, Saeed Reza Kheradpisheh:
Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection. CoRR abs/1803.00447 (2018) - [i10]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 abs/1804.00227 (2018) - [i9]Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony S. Maida:
Deep Learning in Spiking Neural Networks. CoRR abs/1804.08150 (2018) - 2017
- [c4]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: 1 - [c3]Amirreza Yousefzadeh, Timothée Masquelier, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
Hardware implementation of convolutional STDP for on-line visual feature learning. ISCAS 2017: 1-4 - [i8]Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh:
First-spike based visual categorization using reward-modulated STDP. CoRR abs/1705.09132 (2017) - [i7]Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida:
Representation Learning using Event-based STDP. CoRR abs/1706.06699 (2017) - 2016
- [j7]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: 92 (2016) - [j6]Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier:
Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition. Neurocomputing 205: 382-392 (2016) - [c2]Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida:
Acquisition of visual features through probabilistic spike-timing-dependent plasticity. IJCNN 2016: 307-314 - [i6]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 abs/1604.06486 (2016) - [i5]Amirhossein Tavanaei, Timothée Masquelier, Anthony S. Maida:
Acquisition of Visual Features Through Probabilistic Spike-Timing-Dependent Plasticity. CoRR abs/1606.01102 (2016) - [i4]Timothée Masquelier:
STDP allows close-to-optimal spatiotemporal spike pattern detection by single coincidence detector neurons. CoRR abs/1610.07355 (2016) - [i3]Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J. Thorpe, Timothée Masquelier:
STDP-based spiking deep neural networks for object recognition. CoRR abs/1611.01421 (2016) - 2015
- [i2]Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Timothée Masquelier:
Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition. CoRR abs/1504.03871 (2015) - [i1]Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier:
Deep Networks Resemble Human Feed-forward Vision in Invariant Object Recognition. CoRR abs/1508.03929 (2015) - 2013
- [j5]Timothée Masquelier:
Neural variability, or lack thereof. Frontiers Comput. Neurosci. 7: 7 (2013) - 2012
- [j4]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): 425-441 (2012) - 2011
- [j3]Matthieu Gilson, Timothée Masquelier, Etienne Hugues:
STDP Allows Fast Rate-Modulated Coding with Poisson-Like Spike Trains. PLoS Comput. Biol. 7(10) (2011) - 2010
- [c1]Timothée Masquelier, Simon J. Thorpe:
Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j2]Timothée Masquelier, Rudy Guyonneau, Simon J. Thorpe:
Competitive STDP-Based Spike Pattern Learning. Neural Comput. 21(5): 1259-1276 (2009) - 2007
- [j1]Timothée Masquelier, Simon J. Thorpe:
Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity. PLoS Comput. Biol. 3(2) (2007)
Coauthor Index
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