Rufin VanRullen

Orcid: 0000-0002-3611-7716

Affiliations:
  • CNRS, CerCo, Toulouse, France


According to our database1, Rufin VanRullen authored at least 60 papers between 1999 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A Recurrent CNN for Online Object Detection on Raw Radar Frames.
IEEE Trans. Intell. Transp. Syst., October, 2024

A Traveling Waves Perspective on Temporal Binding.
J. Cogn. Neurosci., April, 2024

Tracking objects that change in appearance with phase synchrony.
CoRR, 2024

Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks.
CoRR, 2024

Modality-Agnostic fMRI Decoding of Vision and Language.
CoRR, 2024

Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection.
CoRR, 2024

Zero-shot cross-modal transfer of Reinforcement Learning policies through a Global Workspace.
Proceedings of the 1st Reinforcement Learning Conference, 2024

Saliency strikes back: How filtering out high frequencies improves white-box explanations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
On the role of feedback in image recognition under noise and adversarial attacks: A predictive coding perspective.
Neural Networks, 2023

Consciousness in Artificial Intelligence: Insights from the Science of Consciousness.
CoRR, 2023

Gradient strikes back: How filtering out high frequencies improves explanations.
CoRR, 2023

Semi-supervised Multimodal Representation Learning through a Global Workspace.
CoRR, 2023

Brain Captioning: Decoding human brain activity into images and text.
CoRR, 2023

Mathematical derivation of wave propagation properties in hierarchical neural networks with predictive coding feedback dynamics.
CoRR, 2023

Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion.
CoRR, 2023

Multimodal decoding of human brain activity into images and text.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

CLIP-based image captioning via unsupervised cycle-consistency in the latent space.
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

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

2022
Multimodal neural networks better explain multivoxel patterns in the hippocampus.
Neural Networks, 2022

Understanding the Computational Demands Underlying Visual Reasoning.
Neural Comput., 2022

A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning.
CoRR, 2022

When does CLIP generalize better than unimodal models? When judging human-centric concepts.
Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

Meta-Reinforcement Learning with Self-Modifying Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Predictive coding feedback results in perceived illusory contours in a recurrent neural network.
Neural Networks, 2021

Tentative fMRI signatures of perceptual echoes in early visual cortex.
NeuroImage, 2021

Occipital alpha-TMS causally modulates temporal order judgements: Evidence for discrete temporal windows in vision.
NeuroImage, 2021

On the role of feedback in visual processing: a predictive coding perspective.
CoRR, 2021

Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Go with the flow: Adaptive control for Neural ODEs.
Proceedings of the 9th International Conference on Learning Representations, 2021

GAttANet: Global Attention Agreement for Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Does language help generalization in vision models?
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020
Deep Learning and the Global Workspace Theory.
CoRR, 2020

Neural Optimal Control for Representation Learning.
CoRR, 2020

Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Attention differentially modulates the amplitude of resonance frequencies in the visual cortex.
NeuroImage, 2019

Implicit visual cues tune oscillatory motor activity during decision-making.
NeuroImage, 2019

Which Neural Network Architecture matches Human Behavior in Artificial Grammar Learning?
CoRR, 2019

2018
Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks.
CoRR, 2018

2017
Characterization of neural entrainment to speech with and without slow spectral energy fluctuations in laminar recordings in monkey A1.
NeuroImage, 2017

Predictive position computations mediated by parietal areas: TMS evidence.
NeuroImage, 2017

2016
A Feedback Model of Attention Explains the Diverse Effects of Attention on Neural Firing Rates and Receptive Field Structure.
PLoS Comput. Biol., 2016

Theta-Gamma Coding Meets Communication-through-Coherence: Neuronal Oscillatory Multiplexing Theories Reconciled.
PLoS Comput. Biol., 2016

EEG oscillations entrain their phase to high-level features of speech sound.
NeuroImage, 2016

Rhythmic Influence of Top-Down Perceptual Priors in the Phase of Prestimulus Occipital Alpha Oscillations.
J. Cogn. Neurosci., 2016

Multivoxel Object Representations in Adult Human Visual Cortex Are Flexible: An Associative Learning Study.
J. Cogn. Neurosci., 2016

2015
Theta Oscillations Modulate Attentional Search Performance Periodically.
J. Cogn. Neurosci., 2015

2014
The Temporal Evolution of Coarse Location Coding of Objects: Evidence for Feedback.
J. Cogn. Neurosci., 2014

2013
SWIFT: A novel method to track the neural correlates of recognition.
NeuroImage, 2013

2011
A feedback model of attentional effects in the visual cortex.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Multimedia, 2011

2005
Neurons Tune to the Earliest Spikes Through STDP.
Neural Comput., 2005

2004
SpikeNet: real-time visual processing with one spike per neuron.
Neurocomputing, 2004

A simple translation in cortical log-coordinates may account for the pattern of saccadic localization errors.
Biol. Cybern., 2004

2001
Spike-based strategies for rapid processing.
Neural Networks, 2001

Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex.
Neural Comput., 2001

Feed-forward contour integration in primary visual cortex based on asynchronous spike propagation.
Neurocomputing, 2001

2000
Reverse engineering of the visual system using networks of spiking neurons.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

1999
Spatial attention in asynchronous neural networks.
Neurocomputing, 1999

SpikeNET: A simulator for modeling large networks of integrate and fire neurons.
Neurocomputing, 1999


  Loading...