SpikeNET: A simulator for modeling large networks of integrate and fire neurons. - Arnaud Delorme; Jacques Gautrais; Rufin Van Rullen; Simon J. Thorpe (Neurocomputing, 1999)

Spatial attention in asynchronous neural networks. - Rufin VanRullen; Simon J. Thorpe (Neurocomputing, 1999)

Reverse engineering of the visual system using networks of spiking neurons. - Simon J. Thorpe; Arnaud Delorme; Rufin Van Rullen; W. Paquier (ISCAS, 2000)

Feed-forward contour integration in primary visual cortex based on asynchronous spike propagation. - Rufin VanRullen; Arnaud Delorme; Simon J. Thorpe (Neurocomputing, 2001)

Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex. - Rufin Van Rullen; Simon J. Thorpe (Neural Comput., 2001)

Spike-based strategies for rapid processing. - Simon J. Thorpe; Arnaud Delorme; Rufin Van Rullen (Neural Networks, 2001)

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

SpikeNet: real-time visual processing with one spike per neuron. - Simon J. Thorpe; Rudy Guyonneau; Nicolas Guilbaud; Jong-Mo Allegraud; Rufin VanRullen (Neurocomputing, 2004)

Neurons Tune to the Earliest Spikes Through STDP. - Rudy Guyonneau; Rufin VanRullen; Simon J. Thorpe (Neural Comput., 2005)

A feedback model of attentional effects in the visual cortex. - Thomas Miconi; Rufin VanRullen (CIMSIVP, 2011)

SWIFT: A novel method to track the neural correlates of recognition. - Roger Koenig-Robert; Rufin VanRullen (NeuroImage, 2013)

The Temporal Evolution of Coarse Location Coding of Objects: Evidence for Feedback. - Ramakrishna Chakravarthi; Thomas A. Carlson; Julie Chaffin; Jeremy Turret; Rufin VanRullen (J. Cogn. Neurosci., 2014)

Theta Oscillations Modulate Attentional Search Performance Periodically. - Laura Dugué; Philippe Marque; Rufin VanRullen (J. Cogn. Neurosci., 2015)

Multivoxel Object Representations in Adult Human Visual Cortex Are Flexible: An Associative Learning Study. - Mehdi Senoussi; Isabelle Berry; Rufin VanRullen; Leila Reddy (J. Cogn. Neurosci., 2016)

Rhythmic Influence of Top-Down Perceptual Priors in the Phase of Prestimulus Occipital Alpha Oscillations. - Maxine T. Sherman; Ryota Kanai; Anil K. Seth; Rufin VanRullen (J. Cogn. Neurosci., 2016)

EEG oscillations entrain their phase to high-level features of speech sound. - Benedikt Zoefel; Rufin VanRullen (NeuroImage, 2016)

Theta-Gamma Coding Meets Communication-through-Coherence: Neuronal Oscillatory Multiplexing Theories Reconciled. - Douglas McLelland; Rufin VanRullen (PLoS Comput. Biol., 2016)

A Feedback Model of Attention Explains the Diverse Effects of Attention on Neural Firing Rates and Receptive Field Structure. - Thomas Miconi; Rufin VanRullen (PLoS Comput. Biol., 2016)

Predictive position computations mediated by parietal areas: TMS evidence. - Grace Edwards; Céline Paeye; Philippe Marque; Rufin VanRullen; Patrick Cavanagh (NeuroImage, 2017)

Characterization of neural entrainment to speech with and without slow spectral energy fluctuations in laminar recordings in monkey A1. - Benedikt Zoefel; Jordi Costa-Faidella; Peter Lakatos; Charles E. Schroeder; Rufin VanRullen (NeuroImage, 2017)

Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks. - Rufin VanRullen; Leila Reddy (CoRR, 2018)

Which Neural Network Architecture matches Human Behavior in Artificial Grammar Learning? - Andrea Alamia; Victor Gauducheau; Dimitri Paisios; Rufin VanRullen (CoRR, 2019)

Implicit visual cues tune oscillatory motor activity during decision-making. - Andrea Alamia; Alexandre Zenon; Rufin VanRullen; Julie Duque; Gérard Derosière (NeuroImage, 2019)

Attention differentially modulates the amplitude of resonance frequencies in the visual cortex. - Rasa Gulbinaite; Diane H. M. Roozendaal; Rufin VanRullen (NeuroImage, 2019)

Reconstructing Natural Scenes from fMRI Patterns using BigBiGAN. - Milad Mozafari; Leila Reddy; Rufin VanRullen (IJCNN, 2020)

Neural Optimal Control for Representation Learning. - Mathieu Chalvidal; Matthew Ricci; Rufin VanRullen; Thomas Serre (CoRR, 2020)

Deep Learning and the Global Workspace Theory. - Rufin VanRullen; Ryota Kanai (CoRR, 2020)

Does language help generalization in vision models? - Benjamin Devillers; Bhavin Choksi; Romain Bielawski; Rufin VanRullen (CoNLL, 2021)

GAttANet: Global Attention Agreement for Convolutional Neural Networks. - Rufin VanRullen; Andrea Alamia (ICANN (1), 2021)

Go with the flow: Adaptive control for Neural ODEs. - Mathieu Chalvidal; Matthew Ricci; Rufin VanRullen; Thomas Serre (ICLR, 2021)

Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics. - Bhavin Choksi; Milad Mozafari; Callum Biggs O'May; Benjamin Ador; Andrea Alamia; Rufin VanRullen (NeurIPS, 2021)

On the role of feedback in visual processing: a predictive coding perspective. - Andrea Alamia; Milad Mozafari; Bhavin Choksi; Rufin VanRullen (CoRR, 2021)

Occipital alpha-TMS causally modulates temporal order judgements: Evidence for discrete temporal windows in vision. - Samson Chota; Phillipe Marque; Rufin VanRullen (NeuroImage, 2021)

Tentative fMRI signatures of perceptual echoes in early visual cortex. - Canhuang Luo; Sasskia Brüers; Isabelle Berry; Rufin VanRullen; Leila Reddy (NeuroImage, 2021)

Predictive coding feedback results in perceived illusory contours in a recurrent neural network. - Zhaoyang Pang; Callum Biggs O'May; Bhavin Choksi; Rufin VanRullen (Neural Networks, 2021)

Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs. - Furkan Ozcelik; Bhavin Choksi; Milad Mozafari; Leila Reddy; Rufin VanRullen (IJCNN, 2022)

DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps. - Colin Decourt; Rufin VanRullen; Didier Salle; Thomas Oberlin (IV, 2022)

Meta-Reinforcement Learning with Self-Modifying Networks. - Mathieu Chalvidal; Thomas Serre; Rufin VanRullen (NeurIPS, 2022)

When does CLIP generalize better than unimodal models? When judging human-centric concepts. - Romain Bielawski; Benjamin Devillers; Tim Van de Cruys; Rufin VanRullen (RepL4NLP@ACL, 2022)

A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning. - Mathieu Chalvidal; Thomas Serre; Rufin VanRullen (CoRR, 2022)

Understanding the Computational Demands Underlying Visual Reasoning. - Mohit Vaishnav; Rémi Cadène; Andrea Alamia; Drew Linsley; Rufin VanRullen; Thomas Serre (Neural Comput., 2022)

Multimodal neural networks better explain multivoxel patterns in the hippocampus. - Bhavin Choksi; Milad Mozafari; Rufin VanRullen; Leila Reddy (Neural Networks, 2022)

Learning Functional Transduction. - Mathieu Chalvidal; Thomas Serre; Rufin VanRullen (NeurIPS, 2023)

CLIP-based image captioning via unsupervised cycle-consistency in the latent space. - Romain Bielawski; Rufin VanRullen (RepL4NLP@ACL, 2023)

Multimodal decoding of human brain activity into images and text. - Matteo Ferrante; Tommaso Boccato; Furkan Ozcelik; Rufin VanRullen; Nicola Toschi (UniReps, 2023)

Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion. - Furkan Ozcelik; Rufin VanRullen (CoRR, 2023)

Mathematical derivation of wave propagation properties in hierarchical neural networks with predictive coding feedback dynamics. - Grégory Faye; Guilhem Fouilhé; Rufin VanRullen (CoRR, 2023)

Brain Captioning: Decoding human brain activity into images and text. - Matteo Ferrante; Furkan Ozcelik; Tommaso Boccato; Rufin VanRullen; Nicola Toschi (CoRR, 2023)

Gradient strikes back: How filtering out high frequencies improves explanations. - Sabine Muzellec; Léo Andéol; Thomas Fel; Rufin VanRullen; Thomas Serre (CoRR, 2023)

Consciousness in Artificial Intelligence: Insights from the Science of Consciousness. - 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; et al. (CoRR, 2023)

On the role of feedback in image recognition under noise and adversarial attacks: A predictive coding perspective. - Andrea Alamia; Milad Mozafari; Bhavin Choksi; Rufin VanRullen (Neural Networks, 2023)

Saliency strikes back: How filtering out high frequencies improves white-box explanations. - Sabine Muzellec; Thomas Fel; Victor Boutin; Léo Andéol; Rufin VanRullen; Thomas Serre (ICML, 2024)

Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks. - Victor Boutin; Rishav Mukherji; Aditya Agrawal; Sabine Muzellec; Thomas Fel; Thomas Serre; Rufin VanRullen (NeurIPS, 2024)

Zero-shot cross-modal transfer of Reinforcement Learning policies through a Global Workspace. - Léopold Maytié; Benjamin Devillers; Alexandre Arnold; Rufin VanRullen (RLJ, 2024)

Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection. - Colin Decourt; Rufin VanRullen; Didier Salle; Thomas Oberlin (CoRR, 2024)

Modality-Agnostic fMRI Decoding of Vision and Language. - Mitja Nikolaus; Milad Mozafari; Nicholas Asher; Leila Reddy; Rufin VanRullen (CoRR, 2024)

A Traveling Waves Perspective on Temporal Binding. - Andrea Alamia; Rufin VanRullen (J. Cogn. Neurosci., 2024)

A Recurrent CNN for Online Object Detection on Raw Radar Frames. - Colin Decourt; Rufin VanRullen; Didier Salle; Thomas Oberlin (IEEE Trans. Intell. Transp. Syst., 2024)

Tracking objects that change in appearance with phase synchrony. - Sabine Muzellec; Drew Linsley; Alekh Karkada Ashok; Ennio Mingolla; Girik Malik; Rufin VanRullen; Thomas Serre (ICLR, 2025)

Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics. - Sabine Muzellec; Andrea Alamia; Thomas Serre; Rufin VanRullen (Trans. Mach. Learn. Res., 2025)

Multimodal Dreaming: A Global Workspace Approach to World Model-Based Reinforcement Learning. - Léopold Maytié; Roland Bertin Johannet; Rufin VanRullen (CoRR, 2025)

Learning to Chain Operations by Routing Information Through a Global Workspace. - Hugo Chateau-Laurent; Rufin VanRullen (CoRR, 2025)

Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models. - Louis Béthune; David Vigouroux; Yilun Du; Rufin VanRullen; Thomas Serre; Victor Boutin (CoRR, 2025)

Semi-Supervised Multimodal Representation Learning Through a Global Workspace. - Benjamin Devillers; Léopold Maytié; Rufin VanRullen (IEEE Trans. Neural Networks Learn. Syst., 2025)

GASPnet: Global Agreement to Synchronize Phases. - Andrea Alamia; Sabine Muzellec; Thomas Serre; Rufin VanRullen (CoRR, 2025)