SOURCE-LINKED INTELLIGENCE
The role of memory in perception: neural mechanisms and computations
tions to visual cortex, thereby changing what we see. The proposed research uses the gamut of cognitive neuroscience techniques, from cutting-edge neuroimaging to carefully designed psychophysics and machine learning, to investigate the neural mechanisms and computations whereby the hippocampus and visual cortex interact. I will exploit the anatomical precision afforded by 7 Tesla functional magnetic resonance imaging (fMRI) to pinpoint hippocampal subfield-specific signals and their communication to cortical layers, and the temporal precision of magnetoencephalography (MEG) to investigate how the hippocampus coordinates learning and predicting using oscillations. Additionally, I will use deep neural networks (DNNs) to reveal the contents of hippocampal representations during perception. Together, I expect that this work will lead to a step change in our understanding of the interplay between memory and perception, since the hippocampus is generally considered a ‘pure’ memory region, whereas I propose that it actually changes how we see the world. Resolving this issue will establish
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1999444
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.