Utilizing Neurophysiology to Develop Neurotechnologies

We currently aim to develop a closed-loop neuro-prosthetic device and Brain Machine Interface (BMI) to enable upper-limb movement in animals via cortical stimulation of the the somatosensory cortices. Brain Machine Interfaces (BMIs) are increasingly being utilized in clinical applications to decode the neural signal for motor control in order to program a prosthetic device that will allow movement of a previously paralyzed limb. Restoration of neural function with tactile somatosensory input will dramatically increase the quality of life for an individual with a traumatic nerve injury. This is our end goal. At present, we are currently developing experimental paradigms for use with behaving animals. Using in-vivo electrophysiology techniques to stimulate the somatosensory cortex and record from the motor cortex, we endeavour to decode the neural motor signal to obtain the motor program for limb movement and to add a tactile sensory feedback component to the BMI. This tactile element is key to being able to hold an object such as a mug of water and to be able to pick it up via somatosensory cortex stimulation. We will manipulate activity within these prefrontal regions by injecting small electrical currents in the brain.

Principal Investigator


Camilo Libedinsky

Assistant Professor, Department of Psychology, NUS