NeuroLens: Learning Latent Embeddings of Neural Semantics from Chronic Recordings

arXiv:2610.02864 · cs.LG, q-bio.NC · Submitted 2026-10-02 · Read on arXiv

cs.LG, q-bio.NC

Submitted: 2026-10-02

Updated: 2026-10-02

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Embeddings — 1× in this paper · explained in 2 episodes

Sources

• BrainWideBench: Benchmarking large-scale pretraining and across-animal transfer in multi-region neural recordings
• LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
• Revisiting Feature Prediction for Learning Visual Representations from Video
• Perceiver IO: A General Architecture for Structured Inputs & Outputs
• Decoupled Weight Decay Regularization
• LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

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