Mathematical methods reduce complexity and reveal object representation in the brain
A central question in the cognitive sciences is how objects are represented cognitively and neurally. A major issue lies in the paradox between how proficient we are at recognising objects and the overwhelming amount of information we hold about each object. A solution lies in understanding how neural representations are organised, and potentially assuming that principals that are typically applied to sensorial data are also applicable to high-level object information. The EU-funded ContentMAP project is using experimental and theoretical techniques to reduce high-dimensional, object-related neural and cognitive patterns to low-dimensional representations on the cortical surface. The team’s encoding model should be able to predict the neural ‘fingerprint’ of each object, successfully describing how objects are represented in the brain.
Fields of science
Funding SchemeERC-STG - Starting Grant
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