Noah John Cowan

The paper develops a framework using SE(3) manifolds to model 3D spatial representations in neural systems across species.

The paper shows that theta frequency reflects internal path-integration gain errors during navigation, providing a method to estimate hidden cognitive variables through physiological oscillations.

This study investigates how Drosophila integrates visual and mechanosensory information during flight to control antennal movements, revealing a 'winner-takes-all' mechanism for sensory integration.

The paper investigates how area 29e in the rodent parahippocampus processes visual landmarks and interacts with spatial circuits during navigation, finding that 29e maintains landmark coupling while other regions decouple.

This paper shows that indirect steering muscles in Drosophila help stabilize flight by adjusting wing pitch during large perturbations, using a nonlinear control strategy.

The paper shows that muscle spindle afferents encode complex jaw movements during a lick sequence task, with their coding changing across task phases.

The paper investigates how head direction and CA1 place cells recalibrate path-integration gain during navigation, showing synchronized recalibration during movement but distinct dynamics during head-scanning.

This paper investigates how fruit flies achieve roll stability during flight by analyzing wing kinematics and neuromuscular control mechanisms.

This study examines how timing demands and interaction torques affect reaching accuracy in individuals with cerebellar ataxia, finding increased errors and variability in movement coordination.

This study examines movement control in cerebellar ataxia, finding preserved feedforward and feedback control structures but increased delays and reduced feedback gain, with preview information improving performance.

This study shows that weakly electric fish adjust their movement and sensory processing based on illumination levels, switching between active sensing and multisensory reweighting near a critical threshold.

The paper demonstrates that optic flow can recalibrate path integration in hippocampal place cells using a closed-loop virtual reality system.

This paper introduces a modified ring attractor network that enables gain recalibration in continuous bump attractor networks through explicit error coding and Hebbian plasticity.

The paper shows that habitual behavior emerges early in motor skill learning, even before skill proficiency is achieved.

This paper introduces a single-camera, marker-based system for high-accuracy 6-degree-of-freedom head tracking of rodents, achieving accuracy comparable to multi-camera systems.

The paper investigates how people learn continuous control tasks by analyzing behavior under visual feedback manipulation, revealing two distinct learning components.

The paper studies electrosensory interactions in cave and surface dwelling electric fish, finding sustained frequency differences and long-distance interactions despite expected jamming avoidance.

This study shows cerebellar patients have intact feedback control but with more phase lag, which can be improved by altering visual feedback in a virtual reality setup.

The paper shows that animals use feedback mechanisms rather than precise neural control to compensate for individual morphophysiological differences in locomotor tasks.

This study shows that the path integration gain in hippocampal place cells is a plastic variable that can be recalibrated by persistent conflict between self-motion cues and external landmarks.