Neural Adaptation: Motor Control

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Explores the relationship between biological intelligence, motor learning, and the role of neuromodulation in adaptive behavior.

Explores using mice and machine learning to understand cortical contributions to motor adaptation in intelligent systems.

Explores Brain-Machine Interfaces for motor control and communication using neural signals.

Covers neuroprosthetics, focusing on enhancing sensory feedback for improved limb control.

Delves into touch-sensitive regions representation in the brain and the generation of movements.

Explores the neural control of movement, focusing on the cerebellum's role in motor learning and coordination.

Explores neuroscience through behavior analysis, focusing on pose estimation and motor control studies.

Delves into the cellular mechanisms of sensorimotor interactions in the brain, emphasizing whisker movement control.

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Delves into spatial self-motion estimation in the cerebellum and the role of vestibular signals in postural control and reaching.