Brain Computer Interface

Brain Computer InterfaceBrain Computer Interface (BCI) makes it possible to provide a communication channel from a human to a computer that directly translates brain activity into sequences of control commands. Such a device may give disabled people direct control over a neuroprosthesis or over computer applications as tools for communicating solely by their intentions that are reflected in their brain signals.

Recent advances in BCI are interlinked with research on brain mechanisms, behaviour and cognition, rather than solely based on signal processing tools. For example, the rehabilitation exercise based on BCI neurofeedback enables a better engagement of motor areas, promoting neuroplasticity in brain regions affected by a cerebrovascular accident.

Therefore, in order to develop a novel BCI, we wish to understand the closed loop between brain and body interacting with the changing environment. The sensory information detected by multiple sensors, through the cognitive process, generates the signal flow in a motor control area, and activate specific muscles. Then, a certain action is performed to react to the environment, and once again, the sensory feedback is transmitted to the somatosensory area in the cortex. This flow makes up the sensory-motor closed loop. As this closed loop is embodied within our body, we also focus on the embodiment, that is, how our body, its physical constrains shape our mind. Along with the studies of the closed loop and its embodiment, we engage ourselves to explore bigger questions about the philosophy of mind, consciousness, body-ownership, anticipation, and cognition.

These fundamental studies via experimental (Neuro Methods) and theoretical (Computational Neuroscience) tools to reveal the closed loop between brain and body will provide the solid basis to develop a novel BCI to control the computer and robotic devise in neuronal rehabilitation.

Along with the other research groups in the School of Systems Engineering, HBCI group is affiliated with the university-wide neuroscience initiative represented by Centre for Integrative Neuroscience and Neurodynamics (CINN).

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Professor Slawomir Nasuto

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