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Christopher Hilton
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Cognitive and Neurophysiological Representations of Impossible Space [CoNRIS]
Open Date: 2023-01-01
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Articles (8)
Year:
2026
Year:
2025
Year:
2025
Year:
2024
Year:
2024
Year:
2023
Year:
2023
In this study, we examined the extent to which knowledge about the sequence of places encountered during route learning supports the formation of a metric cognitive map. In a between subjects design, participants learned a route until they could navigate it independently without error whilst also learning information about either the identity of places along the route (Recognition Learning condition) or the sequence of places along the route (Sequence Learning condition). In a follow‐up Reconstruction of Order Task, we confirmed that participants in the Sequence Learning condition had more accurate route sequence knowledge than those in the Recognition Learning condition, despite requiring the same overall number of trials to learn the route. Participants then completed a Pointing Task to assess the quality of their cognitive map of the environment. Both groups performed above chance level, showing incidental encoding of metric information, but the Sequence Learning group produced significantly lower pointing errors than the Recognition Learning group. Further, we found that route distance between pairs of places was a strong predictor of pointing error in both groups, whilst Euclidean distance between places was a significant, but weak, predictor only for the Sequence Learning condition. The results of this study demonstrate that discrete route sequence knowledge directly supports the formation of metric cognitive maps. We consider how the results are best explained by interactions between striatal route representations and hippocampal metric representations, centered around the sequence of places acting as a scaffold for the encoding of metric information.
Year:
2023
Collaborators (6)
Klaus Gramann
Professor
Technische Universität Berlin
Sara Fabrikant
Professor
University of Zurich
Matthias Ballestrem
Professor
Technische Universität Dortmund
Armand Kapaj
Senior Scientist
University of Zurich
Nele Russwinkel
Professor
University of Lübeck
Jan Wiener
Head of School
Bournemouth University
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