PT  - JOURNAL ARTICLE
AU  - Lian, Yanbo
AU  - LaChance, Patrick A.
AU  - Malmberg, Samantha
AU  - Hasselmo, Michael E.
AU  - Burkitt, Anthony N.
TI  - Distinct cortical spatial representations learned along disparate visual pathways
AID  - 10.1101/2024.10.10.617687
DP  - 2024 Jan 01
TA  - bioRxiv
PG  - 2024.10.10.617687
4099  - http://biorxiv.org/content/early/2024/10/12/2024.10.10.617687.short
4100  - http://biorxiv.org/content/early/2024/10/12/2024.10.10.617687.full
AB  - Recent experimental studies have discovered diverse spatial properties, such as head direction tuning and egocentric tuning, of neurons in the postrhinal cortex (POR) and revealed how the POR spatial representation is distinct from the retrosplenial cortex (RSC). However, how these spatial properties of POR neurons emerge is unknown, and the cause of distinct cortical spatial representations is also unclear. Here, we build a learning model of POR based on the pathway from the superior colliculus (SC) that has been shown to have motion processing within the visual input. Our designed SC-POR model demonstrates that diverse spatial properties of POR neurons can emerge from a learning process based on visual input that incorporates motion processing. Moreover, combining SC-POR model with our previously proposed V1-RSC model, we show that distinct cortical spatial representations in POR and RSC can be learnt along disparate visual pathways (originating in SC and V1), suggesting that the varying features encoded in different visual pathways contribute to the distinct spatial properties in downstream cortical areas.Conflict of interest statement The authors declare no competing financial interests.Competing Interest StatementThe authors have declared no competing interest.