Although reaction times are often assumed to reflect the time required to select and prepare a movement, they can be strongly influenced by prior experience.
The rodent brain represents uncertainty associated with short-term predictions during naturalistic navigation tasks sequentially by sampling hypothetical future trajectories in every ~100 ms, corresponding to successive theta cycles.
Bumblebees refine visual discrimination through selective and structured scanning, demonstrating a dynamic interplay between movement and perception in pattern recognition.
New evidence shows that when there is uncertainty about an action's goal the motor system creates a single action plan that optimizes task performance rather than averaging multiple potential plans.
Lead-OR visualizes results derived from microelectrode recordings in anatomical space, together with information derived from patient-specific MRI data, as well as high-resolution atlas resources during deep brain stimulation surgery.
Experimental evolution shows that when selection acts on two traits constrained by a trade-off, the direction of phenotypic evolution depends on the environment.
Seren Zhu, Kaushik J Lakshminarasimhan ... Dora E Angelaki
The spatial and temporal patterns of eye movements exhibited by humans in virtual reality reveal how they plan paths when navigating in complex, naturalistic environments.
fMRI evidence for off-task replay predicts subsequent replanning behavior in humans, suggesting that learning from simulated experience during replay helps update past policies in reinforcement learning.
