Understanding Cortical Contributions to Motor Adaptation

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Delves into brain network modules, modularity, and community structure, including dynamic modularity and upcoming midterm details.

Kinesthetic and Tactile Rehabilitation

Explores touch, proprioception, cutaneous receptors, psychophysics, haptic illusions, sensory substitution, and somatic feedback in rehabilitation.

Peripheral sensory feedback

Explores the importance and organization of sensory feedback in the peripheral nervous system, including artificial implementations.

Machine Learning Models for Neuroscience

Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.

Sensory input and motor output

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

Neurofeedback: Motor Cortex Regulation and Stroke Rehabilitation

Delves into non-invasive brain stimulation, motor imagery, and self-regulation for motor cortex control and stroke recovery.

Neural Signals and Signal Processing

Explores neural signals, EMG processing, muscle synergies, and prosthetic control using advanced signal processing techniques.

Learning and Generalization of Force Coordination Patterns

Explores how people learn and generalize fingertip force coordination patterns.

Neural Signals and Signal Processing

Explores neural signal modeling, nervous system structure, and fiber classification for understanding neural phenomena.

Motor Neuroprosthetics: Brain-Machine Interfaces

Explores brain-machine interfaces for motor neuroprosthetics, covering recording techniques, EEG signals, and motor decoding.