Visual inputs

…Topics include visual inputs, real-world data for improving simulators, imitation learning and teleoperation, hierarchical control, and trade-offs between modular and end-to-end approaches for autonomous robots.

…underlying the transformations of visual inputs to a compass signal remain elusive. In fruit flies, it is hypothesised that visual information is relayed from tangential neu- rons to compass neurons through likely inhibitory all-to-all connections with plastic synapses [1]. We aim to exp

…when coupling auditory and visual inputs related to walking movement using an EEG-frequency tagging approach. To investigate whether visual, audio, and audiovisual input related to walking movement may induce brain connectivity coupling between different brain areas. Methods: We used a mixed-model study design presenting both auditory (footstep sound) and visual (walking point-light-figure) inputs. Sensory inputs were presented at different frequency rates (1 Hz, 2 Hz, 3.6 Hz) in a rhythmic or random sequence w

Integrating sensory information, such as visual inputs, is critical for many goal-directed behaviors, including motor learning. Motor adaptation, a specific type of adaptive learning where one needs to rapidly learn a new sensorimotor mapping has been an excellent way to behaviorally test how motor learning may be enacted. For example, in humans, perturbing visual feedback results in deviated trajectories that participants can restore to baseline performance over time. Yet, the neural circuits that underlie these visuomotor adaptations remain poorly understood. Here, we developed an implicit v

…highly repeatable and resolvable visual, tactile, and visuo-tactile inputs, coupled with the recording of neuronal unit activity at a remarkably high temporal resolution. Our findings unveiled an exceptionally high-dimensional state space characterising

Visual working memory (VWM) allows us to maintain a small amount of task-relevant information in mind so that we can use them to guide our behavior. Although past studies have successfully characterized its capacity limit and representational quality during maintenance, the consequence of its usage for task-relevant behaviors has been largely unknown. In this talk, I will demonstrate that VWM representations get distorted when they are used for perceptual comparisons with new visual inputs, especially when the inputs are subjectively similar to the VWM representations. Furthermore, I will show