Figure 1 | Scientific Reports

Figure 1

From: Bayesian learning from multi-way EEG feedback for robot navigation and target identification

Figure 1

The experimental paradigm observed by participants. Stills are shown from a subsection of a single run. The 9 Ă— 1 grid is shown. In the first (leftmost) still, the blue cursor is in position 6, and the target - denoted by a bullseye symbol - is one place to the right in position 7. In the second still, the robot moves one step to the left, to position 5. This is a move further away from the target (FA condition). Following this, in the third still, the robot moves back from position 5 to position 6 - this is a move towards the target (TT condition). In the fourth still, the robot moves right from position 6 to position 7. As the target is in position 7, this is a move in which the target is reached (TR condition). However, in the fifth still, the robot continues to move right, and steps off the target (SO condition) to position 8. In the sixth still, the robot moves left, back to position 7 - a move that once again reaches the target (TR condition). Finally, in the seventh still, the robot correctly identifies the target by drawing a yellow box around its current location, which is the target locus. It is also possible for incorrect loci to be erroneously identified as the target.

Back to article page