Interactions between Saccades and Smooth Pursuit Eye Movements in Marmosets.

Animals use a combination of eye movements to track moving objects. These different eye movements need to be coordinated for successful tracking, requiring interactions between the systems involved. Here, we study the interaction between the saccadic and smooth pursuit eye movement systems in marmosets.

Interactions between saccades and smooth pursuit eye movements in marmosets.

Unlabelled: Animals use a combination of eye movements to track moving objects. These different eye movements need to be coordinated for successful tracking, requiring interactions between the systems involved. Here, we study the interaction between the saccadic and smooth pursuit eye movement systems in marmosets.

Mammals Achieve Common Neural Coverage of Visual Scenes Using Distinct Sampling Behaviors.

Most vertebrates use head and eye movements to quickly change gaze orientation and sample different portions of the environment with periods of stable fixation. Visual information must be integrated across fixations to construct a complete perspective of the visual environment. In concert with this sampling strategy, neurons adapt to unchanging input to conserve energy and ensure that only novel information from each fixation is processed.

Ocular following Eye Movements in Marmosets Follow Complex Motion Trajectories.

Ocular following eye movements help stabilize images on the retina and offer a window to study motion interpretation by visual circuits. We use these ocular following eye movements to study motion integration behavior in the marmosets. We characterize ocular following responses in the marmosets using different moving stimuli such as dot patterns, gratings, and plaids.

Mammals achieve common neural coverage of visual scenes using distinct sampling behaviors.

Most vertebrates use head and eye movements to quickly change gaze orientation and sample different portions of the environment with periods of stable fixation. Visual information must be integrated across several fixations to construct a more complete perspective of the visual environment. In concert with this sampling strategy, neurons adapt to unchanging input to conserve energy and ensure that only novel information from each fixation is processed.

Cortical and hippocampal dynamics under logical fragmentation of environmental space.

Navigation is often constrained to pathways, and a recurring problem concerns whether to turn left or right when approaching an intersection. We examined this problem during T-maze performance in which the maze location in the recording environment varied over five-trial blocks and analyzed the associated positional firing patterns of hippocampal CA1 and posterior parietal cortex neurons. An arbitrary partitioning of the environmental space determined the left versus right turning rule for T-maze behavior.

Natural binocular depth discrimination behavior in mice explained by visual cortical activity.

In mice and other mammals, forebrain neurons integrate right and left eye information to generate a three-dimensional representation of the visual environment. Neurons in the visual cortex of mice are sensitive to binocular disparity, yet it is unclear whether that sensitivity is linked to the perception of depth. We developed a natural task based on the classic visual cliff and pole descent tasks to estimate the psychophysical range of mouse depth discrimination.