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New ViT and ALIGN Models From Kakao Brain
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arXiv Machine Learning
Jul 14
Fast Whole-Brain, Geometry-Aware Functional Alignment for Cross-Subject Decoding
arXiv:2607. 10931v1 Announce Type: cross Abstract: Decoding brain activity is useful for characterizing brain processes and understanding the functional architecture underlying cognition.
arXiv Machine Learning
Aug 17
Cross-Species RSA Reveals Conserved Early Visual Alignment but Divergent Higher-Area Rankings Across Human fMRI and Macaque Electrophysiology
arXiv:2605. 22401v2 Announce Type: replace Abstract: CORRECTION (August 2026): an evaluation-mode defect in the shared feature-extraction pipeline affected the predictive-coding and STDP conditions.
arXiv Machine Learning
Sep 11
The Platonic brain bridge hypothesis: human brain networks as an architectural prior for omni models
The paper introduces the Platonic brain bridge hypothesis, asserting that omni models—capable of jointly processing video, audio, and text—naturally develop brain‑like representations, and that this relationship is bidirectional. Experiments show that seven omni models exhibit stable brain‑like representations across participants, and their internal states outperform others on the Algonauts 2025 out‑of‑distribution leaderboard. Building on this, the authors propose three brain‑to‑model methods: Brain‑MoE assigns a brain‑pretrained expert to each of seven cortical networks, improving benchmark accuracy; Brain‑AVQA generates video‑based questions using the most responsive brain network, outperforming shuffled mappings; and Brain‑Scope uses sparse autoencoders to pinpoint a small subset of networks whose removal weakens brain prediction, demonstrating that human brain networks can serve as a practical architectural prior for omni models.
arXiv Machine Learning
Aug 14
A Bayes-Markov Neuromorphic Model of Cortical Orientation Selectivity: A Computational Re-implementation and Quantitative Simulation Study
arXiv:2608. 12388v1 Announce Type: cross Abstract: The emergence of orientation selectivity in the primary visual cortex (V1) remains a central question in computational neuroscience.
arXiv AI
Jun 9
NeuroAlign: Hierarchical Multimodal Fusion of Dynamic and Structural Neuroimaging for MCI Analysis
arXiv:2606. 07635v1 Announce Type: cross Abstract: Multimodal neuroimaging fusion of functional MRI (fMRI) and diffusion tensor imaging (DTI) provides complementary information for cognitive impairment analysis, but remains challenged by heterogeneous feature spaces and misaligned representations.
arXiv Machine Learning
Jun 18
Attention as Frustrated Synchronization
arXiv:2606. 18694v1 Announce Type: new Abstract: A network of oscillators that synchronizes perfectly computes nothing further, so an attention architecture built from synchronization must locate its computation in structured departures from agreement.