2 papers
cs.LG2025
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,…
q-bio.NC2025
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…