A Biologically-Inspired Model to Predict Perceived Visual Speed as a Function of the Stimulated Portion of the Visual Field.
MST area
computational model
field of view
motion perception
optical flow
vision
Journal
Frontiers in neural circuits
ISSN: 1662-5110
Titre abrégé: Front Neural Circuits
Pays: Switzerland
ID NLM: 101477940
Informations de publication
Date de publication:
2019
2019
Historique:
received:
31
05
2019
accepted:
07
10
2019
entrez:
19
11
2019
pubmed:
19
11
2019
medline:
26
5
2020
Statut:
epublish
Résumé
Spatial orientation relies on a representation of the position and orientation of the body relative to the surrounding environment. When navigating in the environment, this representation must be constantly updated taking into account the direction, speed, and amplitude of body motion. Visual information plays an important role in this updating process, notably via optical flow. Here, we systematically investigated how the size and the simulated portion of the field of view (FoV) affect perceived visual speed of human observers. We propose a computational model to account for the patterns of human data. This model is composed of hierarchical cells' layers that model the neural processing stages of the dorsal visual pathway. Specifically, we consider that the activity of the MT area is processed by populations of modeled MST cells that are sensitive to the differential components of the optical flow, thus producing selectivity for specific patterns of optical flow. Our results indicate that the proposed computational model is able to describe the experimental evidence and it could be used to predict expected biases of speed perception for conditions in which only some portions of the visual field are visible.
Identifiants
pubmed: 31736715
doi: 10.3389/fncir.2019.00068
pmc: PMC6831620
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
68Informations de copyright
Copyright © 2019 Solari, Caramenti, Chessa, Pretto, Bülthoff and Bresciani.
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