Victoria Bosch

initself.bsky.social

30 August 2026 00:16

Are brains and artificial neural networks converging onto universal representations? There is a seductive idea making the rounds in NeuroAI / machine learning: train systems well enough, and they all converge on the same representation of reality (i.e. a unique world model). We have thoughts™ 1/n

Tal Golan

talgolanneuro.bsky.social

30 August 2026 00:14

How can we design experiments that make computational models disagree? One section of our new @natrevneuro.nature.com Review with @kriegeskorte.bsky.social and @heikoschuett.bsky.social examines studies that used stimulus sets designed to elicit distinct predictions from competing models. 1/16

bioRxiv Neuroscience

biorxiv-neursci.bsky.social

26 August 2026 09:53

Unifying error and reward action learning: a cerebello-basal ganglia theory https://www.biorxiv.org/content/10.64898/2026.08.22.745751v1

bioRxiv Neuroscience

biorxiv-neursci.bsky.social

26 August 2026 09:52

Elucidating the Role of Cerebellar Nuclei Parvalbumin Activity on Adolescent Reversal Learning https://www.biorxiv.org/content/10.64898/2026.08.20.746009v1

Athena Akrami

athenaakrami.bsky.social

24 August 2026 14:36

New preprint! 🧠 How do RNNs learn abstract rules from sequences, independent of specific stimuli? By Vezha Boboeva, with Alberto Pezzotta & George Dimitriadis "From sequences to schemas: low-rank recurrent dynamics underlie abstract relational representations" www.biorxiv.org/content/10.6...