SOURCE-LINKED INTELLIGENCE
The geometry of temporal cognitive maps CHRONOLOGY
s with a mental chronology of experienced events. We will test if the navigation of temporal cognitive maps is involved in tasks where individuals mentally travel in time. Exploiting state-of-the-art artificial intelligence methods to build interpretable recurrent neural network models, we will identify generic processes supporting the emergence of time representations by comparing signatures of theoretical mechanisms with brain activity. Targeted causal manipulation at the single cell resolution will help select precise mechanisms among model-based hypotheses, including the role of local and long-range neuronal connectivity in the establishment of circuit dynamics that develop across time scales. Our synergistic cross-disciplinary team will establish an innovative, biologically-grounded, overarching framework for the representation of time in the brain, its dependence on context, and its relation to memory. time perception , geometry of neural representations , cognitive maps, multielectrode recordings, all-optical electrophysiology , acousto-optic two-photon calcium imaging ,
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 9981292.5
- 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.