ERC Advanced Grant · 2022
Making sense of the senses: Causal Inference in a complex dynamic multisensory world
To interact effectively with the complex dynamic and multisensory world (e.g. traffic) the brain needs to transform the barrage of signals into a coherent percept. This requires it to solve the causal inference or binding problem - deciding which signals come from common sources and integrating those accordingly. Doing so exactly (i.e. optimally) is wildly computationally intractable for all but the simplest laboratory scenes. It is unknown how the brain computes approximate solutions for realistic scenes in the face of resource constraints. This ambitious interdisciplinary project combines statistical, computational, behavioural and neuroimaging (3/7T-fMRI, MEG/EEG, TMS) methods to…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.