التفاصيل البيبلوغرافية
| العنوان: |
Metric information in cognitive maps: Euclidean embedding of non-Euclidean environments |
| المؤلفون: |
Baumann, Tristan, Mallot, Hanspeter A. |
| المساهمون: |
Bush, Daniel |
| المصدر: |
PLOS Computational Biology ; volume 19, issue 12, page e1011748 ; ISSN 1553-7358 |
| بيانات النشر: |
Public Library of Science (PLoS) |
| سنة النشر: |
2023 |
| المجموعة: |
PLOS Publications (via CrossRef) |
| الوصف: |
The structure of the internal representation of surrounding space, the so-called cognitive map , has long been debated. A Euclidean metric map is the most straight-forward hypothesis, but human navigation has been shown to systematically deviate from the Euclidean ground truth. Vector navigation based on non-metric models can better explain the observed behavior, but also discards useful geometric properties such as fast shortcut estimation and cue integration. Here, we propose another alternative, a Euclidean metric map that is systematically distorted to account for the observed behavior. The map is found by embedding the non-metric model, a labeled graph, into 2D Euclidean coordinates. We compared these two models using data from a human behavioral study where participants had to learn and navigate a non-Euclidean maze (i.e., with wormholes) and perform direct shortcuts between different locations. Even though the Euclidean embedding cannot correctly represent the non-Euclidean environment, both models predicted the data equally well. We argue that the embedding naturally arises from integrating the local position information into a metric framework, which makes the model more powerful and robust than the non-metric alternative. It may therefore be a better model for the human cognitive map. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
English |
| DOI: |
10.1371/journal.pcbi.1011748 |
| الإتاحة: |
https://doi.org/10.1371/journal.pcbi.1011748Test |
| حقوق: |
http://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.F85988AB |
| قاعدة البيانات: |
BASE |
