Olivier J. N. Bertrand

Uncovering persistent biases in human path integration by separating left and right trials

This study reanalyzes navigation data and conducts a virtual reality experiment to reveal persistent individual left/right biases in path integration, which are obscured by population-level averaging.

Learning to avoid collisions: Bees use cues perceived before and after a collision to prevent negative consequences during navigation in cluttered areas

This study shows bumblebees can associate visual cues with collision experiences, avoiding high-risk areas based on cues before or after collisions.

Navigating in clutter: How bumblebees optimize flight behaviour through experience

This study shows that experienced bumblebees optimize flight in cluttered environments through learning, not just reflexes, as transparent obstacles affect naive bees more than experienced ones.

Bumblebees locate goals in 3D with absolute height estimation from ventral optic flow

This study investigates how bumblebees estimate height in 3D space using ventral optic flow and local/global cues during foraging.

Bumblebees increase their learning flight altitude in dense environments

This study shows bumblebees adjust their flight altitude and orientation in dense environments to navigate and locate their nest more effectively.

Not seeing the forest for the trees: Combination of path integration and landmark cues in human virtual navigation

This study investigates how humans combine path integration and landmark cues in virtual navigation, finding that performance varies with environment complexity and individual differences in cue usage.