6 citations · 12 across the 18 of their papers we have counts for
5 papers · 1 filter
Predicting upcoming visual features during eye movements yields scene representations aligned with human visual cortex
Sushrut Thorat, Adrien Doerig, Alexander Kroner +2
Natural scenes are complex arrangements of objects, surfaces, and backgrounds. For the brain's visual system to effectively operate, it needs to extract not only what objects are p…
Brain-language fusion enables interactive neural readout and in-silico experimentation
Victoria Bosch, Daniel Anthes, Adrien Doerig +3
Large language models (LLMs) have revolutionized human-machine interaction, and have been extended by embedding diverse modalities such as images into a shared language space. Yet,…
Adopting a human developmental visual diet yields robust, shape-based AI vision
Zejin Lu, Sushrut Thorat, Radoslaw M Cichy +1
Despite years of research and the dramatic scaling of artificial intelligence (AI) systems, a striking misalignment between artificial and human vision persists. Contrary to humans…
Models of attractor dynamics in the brain
Tala Fakhoury, Elia Turner, Sushrut Thorat +1
Attractor dynamics are a fundamental computational motif in neural circuits, supporting diverse cognitive functions through stable, self-sustaining patterns of neural activity. In…
Sparks of cognitive flexibility: self-guided context inference for flexible stimulus-response mapping by attentional routing
Rowan P. Sommers, Sushrut Thorat, Daniel Anthes +1
Flexible cognition demands discovering hidden rules to quickly adapt stimulus-response mappings. Standard neural networks struggle in such tasks requiring rapid, context-driven rem…