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Related Experiment Video

Updated: May 30, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

A model of motion transparency processing with local center-surround interactions and feedback.

Florian Raudies¹, Ennio Mingolla, Heiko Neumann

¹Department of Cognitive and Neural Systems, Boston University, Boston, MA 02215, USA. fraudies@bu.edu

Neural Computation

|August 20, 2011

Summary

A new model explains motion transparency by using local competition and feedback signals to process multiple visual motions. This approach helps distinguish similar and dissimilar movements, improving visual perception.

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Last Updated: May 30, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

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Published on: May 8, 2021

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Area of Science:

Visual perception
Computational neuroscience

Background:

Motion transparency occurs when multiple coherent motions are perceived simultaneously in the same location.
This phenomenon presents challenges for the visual system due to noisy and ambiguous motion signals.

Purpose of the Study:

To propose a computational model that explains motion transparency.
To investigate the roles of local competition and feedback signals in processing motion transparency.

Main Methods:

A local center-surround competition mechanism for population-encoded motion directions and speeds was developed.
Simulations of a discrimination task for transparent versus opaque motion were performed, incorporating feedback signals.

Main Results:

The local competition model successfully separates similar and dissimilar motions, explaining psychophysical phenomena like motion attraction and repulsion.
Feedback signals were shown to enhance and stabilize weak peak responses, improving the processing of motion transparency.

Conclusions:

A local center-surround competition mechanism is effective in resolving motion transparency.
Modulatory feedback signals play a crucial role in refining the perception of complex visual motion scenes.