This project was contucted by the Psychology Department of Sabanci University. This repository contains initial codes for a frequency tagging method to be used in a visuo-spatial experiment. This code will later be connected to an fMRI to achieve frequency tagging, and predict visual imagery of observers.
Aim of this code was to create a visuo-spatial prompt of 8 dots moving in a circular pattern. The code was written using python in an Object Oriented manner to be able to control the rotation frequencies of the dots more easily. The dots could only display two viual outcomes:
- 4 pair of dots fixated on the edges of a square, each of the pairs revolving on a different orbit.
- When a synronization happens on the visual prompt we could observe these revolving dots as two intertwined squares rotating.
https://www.youtube.com/watch?v=6gKK7PYyCJQ
Abstract: Many objects consist of different levels of visual features and humans control them by their attention set. Local information must be integrated into a global percept in order to perceive a scene. But these integration processes become more complicated for an ambiguous stimulus. In this experiment, we used dynamic ambiguous stimulus that consists of 4 rotating dot pairs. In this motion lattice (introduced by Kim & Anstis (2011), two distinct object identities could be perceived: moving dots and moving objects. By using the ambiguous property of this motion lattice, we will examine the underlying neural correlations of local (moving dots)-global (moving abstract objects) motion perception. We aimed to trace the neural correlates of the participants' subjective experience with an objective measure, by applying the frequency-tagging technique to the ambiguous motion lattice.