Original Research ARTICLE
A biologically-inspired model to predict perceived visual speed as a function of the stimulated portion of the visual field
- 1University of Genoa, Italy
- 2Université de Fribourg, Switzerland
- 3Graz University of Technology, Austria
- 4Max Planck Institute for Biological Cybernetics, Germany
- 5Université Grenoble Alpes, France
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.
Keywords: optical flow, Field of view (FOV), Perceived visual speed, computational model, Motion Perception
Received: 31 May 2019;
Accepted: 07 Oct 2019.
Copyright: © 2019 Solari, Caramenti, Chessa, Pretto, Bülthoff and Bresciani. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Prof. Fabio Solari, University of Genoa, Genoa, 16126, Italy, firstname.lastname@example.org
Prof. Jean-Pierre Bresciani, Université de Fribourg, Fribourg, 1700, Fribourg, Switzerland, email@example.com