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Paper Detail

Paper: PS-2A.71
Session: Poster Session 2A
Location: H Lichthof
Session Time: Sunday, September 15, 17:15 - 20:15
Presentation Time:Sunday, September 15, 17:15 - 20:15
Presentation: Poster
Publication: 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany
Paper Title: Perceptual Motion Illusions as a Tool to Probe Neural Mechanisms of Motion Integration in the V1-MT-MSTl Feedforward-Feedback System
Manuscript:  Click here to view manuscript
License: Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
Authors: Daniel Schmid, Maximilian P. R. Löhr, Heiko Neumann, Ulm University, Germany
Abstract: Visual motion integration needs to resolve ambiguous or conflicting information. While for most stimuli subjects are able to perceive the stimulus motion correctly, subjects fail to do so for motion illusion stimuli. In this work we use such illusion stimuli, namely drifting Gabor wavelets, to probe a hierarchical computational neural model of V1-MT-MSTl for its mechanisms of motion integration via recurrent feedforward-feedback interactions. We find that later stages are more susceptible to illusory motion, while earlier stages closely capture the true stimulus location. By lesioning of feedback connections we show that the effect can be explained by feedforward computation alone already. We conclude that cortical top-down feedback within the employed model serves as a predictive element besides taking part in linking information across neural model columns.