5 papers
Path Integration and Object-Location Binding Emerge in an Action-Conditioned Predictive Sequence Network
Linda Ariel Ventura, Victoria Bosch, Tim C Kietzmann +1
Adaptive cognition requires structured internal models of objects and their relations. Predictive neural networks are often proposed to learn such world models, but how these are i…
The Umwelt Representation Hypothesis: Rethinking Universality
Victoria Bosch, Rowan Sommers, Adrien Doerig +1
Recent studies reveal striking representational alignment between artificial neural networks (ANNs) and biological brains, leading to proposals that all sufficiently capable system…
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…
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,…
Predicting upcoming visual features during eye movements yields scene representations aligned with human visual cortex
Sushrut Thorat, Adrien Doerig, Alexander Kroner +2
Scenes are complex, yet structured collections of parts, including objects and surfaces, that exhibit spatial and semantic relations to one another. An effective visual system ther…