Jean-Rémi King

Orcid: 0000-0002-2121-170X

According to our database1, Jean-Rémi King authored at least 62 papers between 2012 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images.
CoRR, May, 2026

Polar probe linearly decodes semantic structures from LLMs.
CoRR, May, 2026

DANCE: Detect and Classify Events in EEG.
CoRR, May, 2026

NeuralBench: A Unifying Framework to Benchmark NeuroAI Models.
CoRR, May, 2026

A foundation model of vision, audition, and language for in-silico neuroscience.
CoRR, May, 2026

Emergence of Phonemic, Syntactic, and Semantic Representations in Artificial Neural Networks.
CoRR, January, 2026

nilearn.
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Dataset, January, 2026

nilearn.
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Dataset, January, 2026

2025
From Minutes to Days: Scaling Intracranial Speech Decoding with Supervised Pretraining.
CoRR, December, 2025

Scaling and context steer LLMs along the same computational path as the human brain.
CoRR, December, 2025




nilearn.
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Dataset, September, 2025

Disentangling the Factors of Convergence between Brains and Computer Vision Models.
CoRR, August, 2025

Probing Syntax in Large Language Models: Successes and Remaining Challenges.
CoRR, August, 2025

TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction.
CoRR, July, 2025

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding.
CoRR, June, 2025

nilearn.
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Dataset, June, 2025

Dynadiff: Single-stage Decoding of Images from Continuously Evolving fMRI.
CoRR, May, 2025

Brain-to-Text Decoding: A Non-invasive Approach via Typing.
CoRR, February, 2025

Scaling laws for decoding images from brain activity.
CoRR, January, 2025

nilearn.
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Dataset, January, 2025

nilearn.
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Dataset, January, 2025

Sample-efficient decoding of visual stimuli from fMRI through inter-individual functional alignment.
Trans. Mach. Learn. Res., 2025

The detection of algebraic auditory structures emerges with self-supervised learning.
PLoS Comput. Biol., 2025

2024
nilearn.
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Dataset, December, 2024

nilearn.
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Dataset, December, 2024

nilearn.
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Dataset, December, 2024



nilearn.
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Dataset, April, 2024

nilearn.
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Dataset, January, 2024

Decoding individual words from non-invasive brain recordings across 723 participants.
CoRR, 2024

A Polar coordinate system represents syntax in large language models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Brain decoding: toward real-time reconstruction of visual perception.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Decoding speech perception from non-invasive brain recordings.
Nat. Mac. Intell., October, 2023

nilearn.
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Dataset, October, 2023

Aligning brain functions boosts the decoding of visual semantics in novel subjects.
CoRR, 2023

Language acquisition: do children and language models follow similar learning stages?
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022




Ongoing neural oscillations influence behavior and sensory representations by suppressing neuronal excitability.
NeuroImage, 2022

Decoding speech from non-invasive brain recordings.
CoRR, 2022

MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing.
CoRR, 2022

Don't stop the training: continuously-updating self-supervised algorithms best account for auditory responses in the cortex.
CoRR, 2022

Toward a realistic model of speech processing in the brain with self-supervised learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Long-range and hierarchical language predictions in brains and algorithms.
CoRR, 2021

Deep Recurrent Encoder: A scalable end-to-end network to model brain signals.
CoRR, 2021

Decomposing lexical and compositional syntax and semantics with deep language models.
CoRR, 2021

Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech.
CoRR, 2021

Can RNNs learn Recursive Nested Subject-Verb Agreements?
CoRR, 2021

Disentangling syntax and semantics in the brain with deep networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations.
NeuroImage, 2020

Machine Learning for COVID-19 needs global collaboration and data-sharing.
Nat. Mach. Intell., 2020

What Limits Our Capacity to Process Nested Long-Range Dependencies in Sentence Comprehension?
Entropy, 2020

2017
Single-trial detection of event-related fields in MEG from the presentation of happy faces: Results of the Biomag 2016 data challenge.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2013
Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness.
NeuroImage, 2013

2012
Exploratory Behaviour Depends on Multisensory Integration during Spatial Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012


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