1 citations · 1 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Computational characterization of the role of an attention schema in controlling visuospatial attention
Lotta Piefke, Adrien Doerig, Tim Kietzmann +1
How does the brain control attention? The Attention Schema Theory suggests that the brain explicitly models its state of attention, termed an attention schema, for its control. How…