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Building of PhD programme
in Neurophysiology

Introduction to the Laboratory - Fabio Babiloni

Fabio Babiloni


The activity of the laboratory is developed around the following questions:

1) It is possible to estimate the human cortical activity and connectivity during decision-making processes from non invasive EEG recordings?

2) It is possible to drive just by thoughts different robotic devices, such as prosthetic hands, or even Aibo robots?

3) It is possible to write on a screen without moving a muscle?


In the laboratory of prof. Fabio Babiloni, the use of advanced processing techniques for the analysis of EEG data gathered from humans allows to answer YES to all the above questions.

How this is possible? Please come and insert yourself into a unique interdisciplinary laboratory in Italy for the study of brain computer interfaces and decision making in humans. In the laboratory are working bioengineers, physic and neuroscientists researchers in order to attack the understanding of basic functions of brain activity. The laboratory is involved in five (5) European projects funded in FP7 on the Brain Computer interfaces and the estimation of brain activity and connectivity (TOBI, SM4ALL, DECODER, BETTER, NEUROMATH). The laboratory is tightly connected with the major research centres in the world working on these topics, producing high visibility to the members of the lab.

As a PhD student, your contribution will be high productive and you will be inserted in a high level research group, working immediately at the forefront of the research in these scientific fields. The figures below are examples of the tools and the results we obtained in the last decades on these areas.




Figure 1. At left the level of the details possible by using the reconstruction algorithms developed by the group in the last 2 decades. From the high resolution non invasive EEG recordings it is possible to estimate the cortical activity at the level of the Brodmann areas with a time resolution of few milliseconds. At the right the capability to follow the fast evolving scalp potential distributions occurring on the scalp and cortical surfaces after the somatosensory stimulation at the right hand. Computational tools already in use in the laboratory of high resolution EEG of prof. Fabio Babiloni




Figure 2. Left: the possibility to drive prosthetic hand just by thoughts, by using the modulation of the spectral amplitude of the EEG signals to drive the robotic hand. Right: the capability to drive a robot by using the modulation of the EEG signals in a very simple maze toward the bone. From upper left to the lower right. This research is performed on the laboratory of prof. Fabio Babiloni related to the Brain Computer Interfaces.






Figure 3. Different applications examples of the control of simple devices just by using mental activity gathered from EEG electrodes.

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