From Prediction to Understanding: Will AI Foundation Models Transform Brain Science?
Fuente:
arXiv
Saved in:
| Main Authors: | Serre, Thomas, Pavlick, Ellie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BrainCSD: A Hierarchical Consistency-Driven MoE Foundation Model for Unified Connectome Synthesis and Multitask Brain Trait Prediction
by: Shen, Xiongri, et al.
Published: (2025)
by: Shen, Xiongri, et al.
Published: (2025)
BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction
by: Yin, Xuanhua, et al.
Published: (2026)
by: Yin, Xuanhua, et al.
Published: (2026)
From Clever Hans to Scientific Discovery: Interpreting EEG Foundational Transformers with LRP
by: Bexten, Justus Meyer zu, et al.
Published: (2026)
by: Bexten, Justus Meyer zu, et al.
Published: (2026)
Shifting Attention to You: Personalized Brain-Inspired AI Models
by: Zhao, Stephen Chong, et al.
Published: (2025)
by: Zhao, Stephen Chong, et al.
Published: (2025)
Do Language Models Align with Brains? Prediction Scores Are Not Enough
by: Jia, Xiao
Published: (2026)
by: Jia, Xiao
Published: (2026)
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions
by: Cheng, Yu-Ang, et al.
Published: (2024)
by: Cheng, Yu-Ang, et al.
Published: (2024)
Predicting Human Brain States with Transformer
by: Sun, Yifei, et al.
Published: (2024)
by: Sun, Yifei, et al.
Published: (2024)
Scale-Invariance Drives Convergence in AI and Brain Representations
by: Yu, Junjie, et al.
Published: (2025)
by: Yu, Junjie, et al.
Published: (2025)
Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer
by: Kang, Yanqing, et al.
Published: (2024)
by: Kang, Yanqing, et al.
Published: (2024)
From Electrode to Global Brain: Integrating Multi- and Cross-Scale Brain Connections and Interactions Under Cross-Subject and Within-Subject Scenarios
by: Zhige, Chen, et al.
Published: (2024)
by: Zhige, Chen, et al.
Published: (2024)
Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
by: Mao, Rui, et al.
Published: (2025)
by: Mao, Rui, et al.
Published: (2025)
The ISLab Solution to the Algonauts Challenge 2025: A Multimodal Deep Learning Approach to Brain Response Prediction
by: Corsico, Andrea, et al.
Published: (2025)
by: Corsico, Andrea, et al.
Published: (2025)
Towards Unified Neural Decoding with Brain Functional Network Modeling
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
Disentangling the Factors of Convergence between Brains and Computer Vision Models
by: Raugel, Joséphine, et al.
Published: (2025)
by: Raugel, Joséphine, et al.
Published: (2025)
Brain-like Functional Organization within Large Language Models
by: Sun, Haiyang, et al.
Published: (2024)
by: Sun, Haiyang, et al.
Published: (2024)
From generative AI to the brain: five takeaways
by: Gros, Claudius
Published: (2025)
by: Gros, Claudius
Published: (2025)
AI-Enhanced High-Density NIRS Patch for Real-Time Brain Layer Oxygenation Monitoring in Neurological Emergencies
by: Ji, Minsu, et al.
Published: (2025)
by: Ji, Minsu, et al.
Published: (2025)
A Miniature Brain Transformer: Thalamic Gating, Hippocampal Lateralization, Amygdaloid Salience, and Prefrontal Working Memory in Attention-Coupled Latent Memory
by: Jeong, Hong
Published: (2026)
by: Jeong, Hong
Published: (2026)
A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning
by: Do, Quan, et al.
Published: (2024)
by: Do, Quan, et al.
Published: (2024)
Brain-Language Model Alignment: Insights into the Platonic Hypothesis and Intermediate-Layer Advantage
by: López-Cardona, Ángela, et al.
Published: (2025)
by: López-Cardona, Ángela, et al.
Published: (2025)
Manifolds and Modules: How Function Develops in a Neural Foundation Model
by: Bertram, Johannes, et al.
Published: (2025)
by: Bertram, Johannes, et al.
Published: (2025)
Deep Jansen-Rit Parameter Inference for Model-Driven Analysis of Brain Activity
by: Tilwani, Deepa, et al.
Published: (2024)
by: Tilwani, Deepa, et al.
Published: (2024)
Better artificial intelligence does not mean better models of biology
by: Linsley, Drew, et al.
Published: (2025)
by: Linsley, Drew, et al.
Published: (2025)
A Novel Approach to Image EEG Sleep Data for Improving Quality of Life in Patients Suffering From Brain Injuries Using DreamDiffusion
by: Fahim, David, et al.
Published: (2024)
by: Fahim, David, et al.
Published: (2024)
Unveiling Secrets of Brain Function With Generative Modeling: Motion Perception in Primates & Cortical Network Organization in Mice
by: Vafaii, Hadi
Published: (2024)
by: Vafaii, Hadi
Published: (2024)
CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness
by: Yu, Haofei, et al.
Published: (2026)
by: Yu, Haofei, et al.
Published: (2026)
Brain-inspired and Self-based Artificial Intelligence
by: Zeng, Yi, et al.
Published: (2024)
by: Zeng, Yi, et al.
Published: (2024)
OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
by: Willeke, Konstantin F., et al.
Published: (2026)
by: Willeke, Konstantin F., et al.
Published: (2026)
Vision Language Models Know Law of Conservation without Understanding More-or-Less
by: Luo, Dezhi, et al.
Published: (2024)
by: Luo, Dezhi, et al.
Published: (2024)
A New Strategy for Artificial Intelligence: Training Foundation Models Directly on Human Brain Data
by: Donoso, Maël
Published: (2026)
by: Donoso, Maël
Published: (2026)
Towards Neurocognitive-Inspired Intelligence: From AI's Structural Mimicry to Human-Like Functional Cognition
by: Golilarz, Noorbakhsh Amiri, et al.
Published: (2025)
by: Golilarz, Noorbakhsh Amiri, et al.
Published: (2025)
From Priors to Predictions: Explaining and Visualizing Human Reasoning in a Graph Neural Network Framework
by: Do, Quan, et al.
Published: (2025)
by: Do, Quan, et al.
Published: (2025)
How Much is Brain Data Worth for Machine Learning?
by: Lewis, Lane, et al.
Published: (2026)
by: Lewis, Lane, et al.
Published: (2026)
Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images
by: Raugel, Joséphine, et al.
Published: (2026)
by: Raugel, Joséphine, et al.
Published: (2026)
A Foundational Theory for Decentralized Sensory Learning
by: Mårtensson, Linus, et al.
Published: (2025)
by: Mårtensson, Linus, et al.
Published: (2025)
From DDMs to DNNs: Using process data and models of decision-making to improve human-AI interactions
by: Gopnarayan, Mrugsen Nagsen, et al.
Published: (2023)
by: Gopnarayan, Mrugsen Nagsen, et al.
Published: (2023)
Noumenal Labs White Paper: How To Build A Brain
by: Ramstead, Maxwell J. D., et al.
Published: (2025)
by: Ramstead, Maxwell J. D., et al.
Published: (2025)
The Thousand Brains Project: A New Paradigm for Sensorimotor Intelligence
by: Clay, Viviane, et al.
Published: (2024)
by: Clay, Viviane, et al.
Published: (2024)
Brain-Inspired AI with Hyperbolic Geometry
by: Joseph, Alexander, et al.
Published: (2024)
by: Joseph, Alexander, et al.
Published: (2024)
MindSimulator: Exploring Brain Concept Localization via Synthetic FMRI
by: Bao, Guangyin, et al.
Published: (2025)
by: Bao, Guangyin, et al.
Published: (2025)
Similar Items
-
BrainCSD: A Hierarchical Consistency-Driven MoE Foundation Model for Unified Connectome Synthesis and Multitask Brain Trait Prediction
by: Shen, Xiongri, et al.
Published: (2025) -
BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction
by: Yin, Xuanhua, et al.
Published: (2026) -
From Clever Hans to Scientific Discovery: Interpreting EEG Foundational Transformers with LRP
by: Bexten, Justus Meyer zu, et al.
Published: (2026) -
Shifting Attention to You: Personalized Brain-Inspired AI Models
by: Zhao, Stephen Chong, et al.
Published: (2025) -
Do Language Models Align with Brains? Prediction Scores Are Not Enough
by: Jia, Xiao
Published: (2026)