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Rufin VanRullen
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- affiliation: CNRS, CerCo, Toulouse, France
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2020 – today
- 2024
- [j28]Andrea Alamia
, Rufin VanRullen:
A Traveling Waves Perspective on Temporal Binding. J. Cogn. Neurosci. 36(4): 721-729 (2024) - [j27]Colin Decourt
A Recurrent CNN for Online Object Detection on Raw Radar Frames. IEEE Trans. Intell. Transp. Syst. 25(10): 13432-13441 (2024) - [c15]Sabine Muzellec, Thomas Fel, Victor Boutin, Léo Andéol, Rufin VanRullen, Thomas Serre:
Saliency strikes back: How filtering out high frequencies improves white-box explanations. ICML 2024 - [i27]Colin Decourt, Rufin VanRullen, Didier Salle, Thomas Oberlin:
Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection. CoRR abs/2402.08427 (2024) - [i26]Léopold Maytié, Benjamin Devillers, Alexandre Arnold, Rufin VanRullen:
Zero-shot cross-modal transfer of Reinforcement Learning policies through a Global Workspace. CoRR abs/2403.04588 (2024) - [i25]Mitja Nikolaus, Milad Mozafari, Nicholas Asher, Leila Reddy, Rufin VanRullen:
Modality-Agnostic fMRI Decoding of Vision and Language. CoRR abs/2403.11771 (2024) - [i24]Victor Boutin, Rishav Mukherji, Aditya Agrawal, Sabine Muzellec, Thomas Fel, Thomas Serre, Rufin VanRullen:
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks. CoRR abs/2406.06079 (2024) - [i23]Sabine Muzellec, Drew Linsley, Alekh Karkada Ashok, Ennio Mingolla, Girik Malik, Rufin VanRullen, Thomas Serre:
Tracking objects that change in appearance with phase synchrony. CoRR abs/2410.02094 (2024) - 2023
- [j26]Andrea Alamia, Milad Mozafari, Bhavin Choksi, Rufin VanRullen
On the role of feedback in image recognition under noise and adversarial attacks: A predictive coding perspective. Neural Networks 157: 280-287 (2023) - [c14]Mathieu Chalvidal, Thomas Serre, Rufin VanRullen:
Learning Functional Transduction. NeurIPS 2023 - [c13]Romain Bielawski, Rufin VanRullen:
CLIP-based image captioning via unsupervised cycle-consistency in the latent space. RepL4NLP@ACL 2023: 266-275 - [c12]Matteo Ferrante, Tommaso Boccato, Furkan Ozcelik, Rufin VanRullen, Nicola Toschi:
Multimodal decoding of human brain activity into images and text. UniReps 2023: 87-101 - [i22]Mathieu Chalvidal, Thomas Serre, Rufin VanRullen:
Learning Functional Transduction. CoRR abs/2302.00328 (2023) - [i21]Furkan Ozcelik, Rufin VanRullen:
Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion. CoRR abs/2303.05334 (2023) - [i20]Grégory Faye, Guilhem Fouilhé, Rufin VanRullen:
Mathematical derivation of wave propagation properties in hierarchical neural networks with predictive coding feedback dynamics. CoRR abs/2304.05676 (2023) - [i19]Matteo Ferrante, Furkan Ozcelik, Tommaso Boccato, Rufin VanRullen, Nicola Toschi:
Brain Captioning: Decoding human brain activity into images and text. CoRR abs/2305.11560 (2023) - [i18]Benjamin Devillers, Léopold Maytié, Rufin VanRullen:
Semi-supervised Multimodal Representation Learning through a Global Workspace. CoRR abs/2306.15711 (2023) - [i17]Sabine Muzellec, Léo Andéol, Thomas Fel, Rufin VanRullen, Thomas Serre:
Gradient strikes back: How filtering out high frequencies improves explanations. CoRR abs/2307.09591 (2023) - [i16]Patrick Butlin, Robert Long, Eric Elmoznino, Yoshua Bengio, Jonathan Birch, Axel Constant, George Deane, Stephen M. Fleming, Chris Frith, Xu Ji, Ryota Kanai, Colin Klein, Grace Lindsay, Matthias Michel, Liad Mudrik, Megan A. K. Peters, Eric Schwitzgebel, Jonathan Simon, Rufin VanRullen:
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness. CoRR abs/2308.08708 (2023) - 2022
- [j25]Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen
Understanding the Computational Demands Underlying Visual Reasoning. Neural Comput. 34(5): 1075-1099 (2022) - [j24]Bhavin Choksi
Multimodal neural networks better explain multivoxel patterns in the hippocampus. Neural Networks 154: 538-542 (2022) - [c11]Furkan Ozcelik, Bhavin Choksi, Milad Mozafari, Leila Reddy, Rufin VanRullen
Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs. IJCNN 2022: 1-8 - [c10]Colin Decourt
DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps. IV 2022: 112-118 - [c9]Mathieu Chalvidal, Thomas Serre, Rufin VanRullen:
Meta-Reinforcement Learning with Self-Modifying Networks. NeurIPS 2022 - [c8]Romain Bielawski, Benjamin Devillers, Tim Van de Cruys, Rufin VanRullen
When does CLIP generalize better than unimodal models? When judging human-centric concepts. RepL4NLP@ACL 2022: 29-38 - [i15]Bhavin Choksi, Milad Mozafari, Rufin VanRullen
Multimodal neural networks better explain multivoxel patterns in the hippocampus. CoRR abs/2201.11517 (2022) - [i14]Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning. CoRR abs/2202.02363 (2022) - [i13]Furkan Ozcelik, Bhavin Choksi, Milad Mozafari, Leila Reddy, Rufin VanRullen
Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs. CoRR abs/2202.12692 (2022) - [i12]Colin Decourt, Rufin VanRullen, Didier Salle, Thomas Oberlin:
A recurrent CNN for online object detection on raw radar frames. CoRR abs/2212.11172 (2022) - 2021
- [j23]Canhuang Luo
Tentative fMRI signatures of perceptual echoes in early visual cortex. NeuroImage 237: 118053 (2021) - [j22]Samson Chota, Phillipe Marque, Rufin VanRullen:
Occipital alpha-TMS causally modulates temporal order judgements: Evidence for discrete temporal windows in vision. NeuroImage 237: 118173 (2021) - [j21]Zhaoyang Pang
Predictive coding feedback results in perceived illusory contours in a recurrent neural network. Neural Networks 144: 164-175 (2021) - [c7]Benjamin Devillers, Bhavin Choksi, Romain Bielawski, Rufin VanRullen:
Does language help generalization in vision models? CoNLL 2021: 171-182 - [c6]Rufin VanRullen, Andrea Alamia:
GAttANet: Global Attention Agreement for Convolutional Neural Networks. ICANN (1) 2021: 281-293 - [c5]Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen, Thomas Serre:
Go with the flow: Adaptive control for Neural ODEs. ICLR 2021 - [c4]Bhavin Choksi, Milad Mozafari, Callum Biggs O'May, Benjamin Ador, Andrea Alamia, Rufin VanRullen:
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics. NeurIPS 2021: 14069-14083 - [i11]Zhaoyang Pang, Callum Biggs O'May, Bhavin Choksi, Rufin VanRullen:
Predictive coding feedback results in perceived illusory contours in a recurrent neural network. CoRR abs/2102.01955 (2021) - [i10]Rufin VanRullen
GAttANet: Global attention agreement for convolutional neural networks. CoRR abs/2104.05575 (2021) - [i9]Benjamin Devillers, Romain Bielawski, Bhavin Choksi, Rufin VanRullen
Does language help generalization in vision models? CoRR abs/2104.08313 (2021) - [i8]Bhavin Choksi, Milad Mozafari, Callum Biggs O'May, Benjamin Ador, Andrea Alamia, Rufin VanRullen
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics. CoRR abs/2106.02749 (2021) - [i7]Andrea Alamia, Milad Mozafari, Bhavin Choksi, Rufin VanRullen
On the role of feedback in visual processing: a predictive coding perspective. CoRR abs/2106.04225 (2021) - [i6]Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen
Understanding the computational demands underlying visual reasoning. CoRR abs/2108.03603 (2021) - 2020
- [c3]Milad Mozafari, Leila Reddy, Rufin VanRullen:
Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN. IJCNN 2020: 1-8 - [i5]Milad Mozafari, Leila Reddy, Rufin VanRullen
Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN. CoRR abs/2001.11761 (2020) - [i4]Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen, Thomas Serre:
Neural Optimal Control for Representation Learning. CoRR abs/2006.09545 (2020) - [i3]Rufin VanRullen, Ryota Kanai:
Deep Learning and the Global Workspace Theory. CoRR abs/2012.10390 (2020)
2010 – 2019
- 2019
- [j20]Andrea Alamia, Alexandre Zenon, Rufin VanRullen
Implicit visual cues tune oscillatory motor activity during decision-making. NeuroImage 186: 424-436 (2019) - [j19]Rasa Gulbinaite, Diane H. M. Roozendaal, Rufin VanRullen
Attention differentially modulates the amplitude of resonance frequencies in the visual cortex. NeuroImage 203 (2019) - [i2]Andrea Alamia, Victor Gauducheau, Dimitri Paisios, Rufin VanRullen:
Which Neural Network Architecture matches Human Behavior in Artificial Grammar Learning? CoRR abs/1902.04861 (2019) - 2018
- [i1]Rufin VanRullen, Leila Reddy:
Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks. CoRR abs/1810.03856 (2018) - 2017
- [j18]Benedikt Zoefel
Characterization of neural entrainment to speech with and without slow spectral energy fluctuations in laminar recordings in monkey A1. NeuroImage 150: 344-357 (2017) - [j17]Grace Edwards
Predictive position computations mediated by parietal areas: TMS evidence. NeuroImage 153: 49-57 (2017) - 2016
- [j16]Mehdi Senoussi
Multivoxel Object Representations in Adult Human Visual Cortex Are Flexible: An Associative Learning Study. J. Cogn. Neurosci. 28(6): 852-868 (2016) - [j15]Maxine T. Sherman
Rhythmic Influence of Top-Down Perceptual Priors in the Phase of Prestimulus Occipital Alpha Oscillations. J. Cogn. Neurosci. 28(9): 1318-1330 (2016) - [j14]Benedikt Zoefel
EEG oscillations entrain their phase to high-level features of speech sound. NeuroImage 124: 16-23 (2016) - [j13]Thomas Miconi, Rufin VanRullen
A Feedback Model of Attention Explains the Diverse Effects of Attention on Neural Firing Rates and Receptive Field Structure. PLoS Comput. Biol. 12(2) (2016) - [j12]Douglas McLelland
Theta-Gamma Coding Meets Communication-through-Coherence: Neuronal Oscillatory Multiplexing Theories Reconciled. PLoS Comput. Biol. 12(10) (2016) - 2015
- [j11]Laura Dugué
Theta Oscillations Modulate Attentional Search Performance Periodically. J. Cogn. Neurosci. 27(5): 945-958 (2015) - 2014
- [j10]Ramakrishna Chakravarthi, Thomas A. Carlson
The Temporal Evolution of Coarse Location Coding of Objects: Evidence for Feedback. J. Cogn. Neurosci. 26(10): 2370-2384 (2014) - 2013
- [j9]Roger Koenig-Robert
SWIFT: A novel method to track the neural correlates of recognition. NeuroImage 81: 273-282 (2013) - 2011
- [c2]Thomas Miconi, Rufin VanRullen
A feedback model of attentional effects in the visual cortex. CIMSIVP 2011: 106-113
2000 – 2009
- 2005
- [j8]Rudy Guyonneau
Neurons Tune to the Earliest Spikes Through STDP. Neural Comput. 17(4): 859-879 (2005) - 2004
- [j7]Rufin VanRullen
A simple translation in cortical log-coordinates may account for the pattern of saccadic localization errors. Biol. Cybern. 91(3): 131-137 (2004) - [j6]Simon J. Thorpe
SpikeNet: real-time visual processing with one spike per neuron. Neurocomputing 58-60: 857-864 (2004) - 2001
- [j5]Rufin VanRullen
Feed-forward contour integration in primary visual cortex based on asynchronous spike propagation. Neurocomputing 38-40: 1003-1009 (2001) - [j4]Rufin Van Rullen, Simon J. Thorpe
Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex. Neural Comput. 13(6): 1255-1283 (2001) - [j3]Simon J. Thorpe
Spike-based strategies for rapid processing. Neural Networks 14(6-7): 715-725 (2001) - 2000
- [c1]Simon J. Thorpe
Reverse engineering of the visual system using networks of spiking neurons. ISCAS 2000: 405-408
1990 – 1999
- 1999
- [j2]Rufin VanRullen
Spatial attention in asynchronous neural networks. Neurocomputing 26-27: 911-918 (1999) - [j1]Arnaud Delorme, Jacques Gautrais
SpikeNET: A simulator for modeling large networks of integrate and fire neurons. Neurocomputing 26-27: 989-996 (1999)
Coauthor Index
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last updated on 2024-11-11 21:31 CET by the dblp team
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