The Algonauts Project 2025 Challenge: How the Human Brain Makes Sense of Multimodal Movies
Not on the map. Why?
Abstract (arXiv)
There is growing symbiosis between artificial and biological intelligence sciences: neural principles inspire new intelligent machines, which are in turn used to advance our theoretical understanding of the brain. To promote further collaboration between biological and artificial intelligence researchers, we introduce the 2025 edition of the Algonauts Project challenge: How the Human Brain Makes Sense of Multimodal Movies (https://algonautsproject.com/). In collaboration with the Courtois Project on Neuronal Modelling (CNeuroMod), this edition aims to bring forth a new generation of brain encoding models that are multimodal and that generalize well beyond their training distribution, by training them on the largest dataset of fMRI responses to movie watching available to date. Open to all, the 2025 challenge provides transparent, directly comparable results through a public leaderboard that is updated automatically after each submission to facilitate rapid model assessment and guide development. The challenge will end with a session at the 2025 Cognitive Computational Neuroscience (CCN) conference that will feature winning models. We welcome researchers interested in collaborating with the Algonauts Project by contributing ideas and datasets for future challenges.
Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 31 Dec 2024.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2025: 9; 2026: 10.
19 papers.
Sort:
By area:
- 2025TRIBE: TRImodal Brain Encoder for whole-brain fMRI response predictioncited by 17
- 2026NeuralBench: A Unifying Framework to Benchmark NeuroAI Modelscited by 13
- 2026A foundation model of vision, audition, and language for in-silico neurosciencecited by 12
- 2025VIBE: Video-Input Brain Encoder for fMRI Response Modelingcited by 7
- 2025Multimodal Recurrent Ensembles for Predicting Brain Responses to Naturalistic Movies (Algonauts 2025)cited by 5
- 2025CNeuroMod-THINGS, a densely-sampled fMRI dataset for visual neurosciencecited by 2
- 2025A Multimodal Sequence-to-Sequence Model for Cross-Subject Prediction of Brain Responses to Naturalistic Stimulicited by 2
- 2025Improving Multimodal Brain Encoding Model with Dynamic Subject-awareness Routingcited by 2
- 2025Probing Multimodal Fusion in the Brain: The Dominance of Audiovisual Streams in Naturalistic Encodingcited by 1
- 2025The ISLab Solution to the Algonauts Challenge 2025: A Multimodal Deep Learning Approach to Brain Response Predictioncited by 1
- 2025Stacked Regression using Off-the-shelf, Stimulus-tuned and Fine-tuned Neural Networks for Predicting fMRI Brain Responses to Movies (Algonauts 2025 Report)cited by 1
- 2026MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encodingcited by 1
7 more
- 2026BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Predictioncited by 0
- 2026Neuro-Symbolic Decoding of Neural Activitycited by 0
- 2026Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matchingcited by 0
- 2026A global predicted-fMRI drive signal from TRIBE does not predict YouTube replay heatmapscited by 0
- 2026Platonic Projection Structures: Operator-Induced Observability in Representation Learningcited by 0
- 2026The Platonic brain bridge hypothesis: human brain networks as an architectural prior for multimodal large language modelscited by 0
- 2026Cross-attention encoding models reveal dynamic spatiotemporal routing across human higher visual cortexcited by 0
- 2026Cross-attention encoding models reveal dynamic spatiotemporal routing across human higher visual cortex28 Sep 2026
- 2026The Platonic brain bridge hypothesis: human brain networks as an architectural prior for multimodal large language models10 Sep 2026
- 2026Platonic Projection Structures: Operator-Induced Observability in Representation Learning6 Jul 2026
- 2026A global predicted-fMRI drive signal from TRIBE does not predict YouTube replay heatmaps1 Jul 2026
- 2026MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding28 May 2026
- 2026NeuralBench: A Unifying Framework to Benchmark NeuroAI Models8 May 2026
- 2026A foundation model of vision, audition, and language for in-silico neuroscience5 May 2026
- 2026Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching13 Apr 2026
- 2026Neuro-Symbolic Decoding of Neural Activity22 Feb 2026
- 2026BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction4 Feb 2026
- 2025Improving Multimodal Brain Encoding Model with Dynamic Subject-awareness Routing6 Oct 2025
- 2025Stacked Regression using Off-the-shelf, Stimulus-tuned and Fine-tuned Neural Networks for Predicting fMRI Brain Responses to Movies (Algonauts 2025 Report)2 Oct 2025
7 more
- 2025TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction29 Jul 2025
- 2025The ISLab Solution to the Algonauts Challenge 2025: A Multimodal Deep Learning Approach to Brain Response Prediction25 Jul 2025
- 2025Probing Multimodal Fusion in the Brain: The Dominance of Audiovisual Streams in Naturalistic Encoding25 Jul 2025
- 2025A Multimodal Sequence-to-Sequence Model for Cross-Subject Prediction of Brain Responses to Naturalistic Stimuli24 Jul 2025
- 2025VIBE: Video-Input Brain Encoder for fMRI Response Modeling23 Jul 2025
- 2025Multimodal Recurrent Ensembles for Predicting Brain Responses to Naturalistic Movies (Algonauts 2025)23 Jul 2025
- 2025CNeuroMod-THINGS, a densely-sampled fMRI dataset for visual neuroscience11 Jul 2025
- 2025TRIBE: TRImodal Brain Encoder for whole-brain fMRI response predictioncited by 17
- 2026NeuralBench: A Unifying Framework to Benchmark NeuroAI Modelscited by 13
- 2026A foundation model of vision, audition, and language for in-silico neurosciencecited by 12
- 2025VIBE: Video-Input Brain Encoder for fMRI Response Modelingcited by 7
- 2025Multimodal Recurrent Ensembles for Predicting Brain Responses to Naturalistic Movies (Algonauts 2025)cited by 5
- 2025CNeuroMod-THINGS, a densely-sampled fMRI dataset for visual neurosciencecited by 2
- 2025A Multimodal Sequence-to-Sequence Model for Cross-Subject Prediction of Brain Responses to Naturalistic Stimulicited by 2
- 2025Improving Multimodal Brain Encoding Model with Dynamic Subject-awareness Routingcited by 2
- 2025Probing Multimodal Fusion in the Brain: The Dominance of Audiovisual Streams in Naturalistic Encodingcited by 1
- 2025The ISLab Solution to the Algonauts Challenge 2025: A Multimodal Deep Learning Approach to Brain Response Predictioncited by 1
- 2025Stacked Regression using Off-the-shelf, Stimulus-tuned and Fine-tuned Neural Networks for Predicting fMRI Brain Responses to Movies (Algonauts 2025 Report)cited by 1
- 2026MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encodingcited by 1
12 most cited of 17 All 17 (JSON)
- 2026Cross-attention encoding models reveal dynamic spatiotemporal routing across human higher visual cortex28 Sep 2026
- 2026Platonic Projection Structures: Operator-Induced Observability in Representation Learning6 Jul 2026
- 2026A global predicted-fMRI drive signal from TRIBE does not predict YouTube replay heatmaps1 Jul 2026
- 2026MIRAGE: Adaptive Multimodal Gating for Whole-Brain fMRI Encoding28 May 2026
- 2026NeuralBench: A Unifying Framework to Benchmark NeuroAI Models8 May 2026
- 2026A foundation model of vision, audition, and language for in-silico neuroscience5 May 2026
- 2026Neuro-Symbolic Decoding of Neural Activity22 Feb 2026
- 2026BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction4 Feb 2026
- 2025Improving Multimodal Brain Encoding Model with Dynamic Subject-awareness Routing6 Oct 2025
- 2025Stacked Regression using Off-the-shelf, Stimulus-tuned and Fine-tuned Neural Networks for Predicting fMRI Brain Responses to Movies (Algonauts 2025 Report)2 Oct 2025
- 2025TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction29 Jul 2025
- 2025The ISLab Solution to the Algonauts Challenge 2025: A Multimodal Deep Learning Approach to Brain Response Prediction25 Jul 2025
12 newest of 17 All 17 (JSON)