Musumeci Marialessia

Artificial Intelligence Applied to the study of Conscious Perceptive States Musumeci Marialessia

My research consists of the processing of signals from the 14 electrodes of the EMOTIV system, connected to immersive glasses that allow a realistic visual experience and investigate the brainnetwork in order to identify the signals features corresponding to different perceptive and cognitivestimuli. A Matlab-Simulink procedure synchronizes the acquired signals with various sensoryexperiences presented in a video. Aim of the research is to test the interconnections among brain areas in presence of sensory andemotional stimuli, and show how similar stimuli give rise to chaotic attractors identified withidentical or similar codes. The chaotic attractors can be definite as a trajectory of the dynamical system, contained in a finitevolume of phase space. A dynamical system can have chaotic behavior, i.e. an organized (but notperiodic) behaviour sensitive to the initial conditions. In this work a custom ANN (ITSOM) processes individual signals or many signalssimultaneously. The sequence of the ITSOM winning nodes tends to repeat itself creating a timeseries of chaotic attractors. The ITSOM attributes similar codes to attractors emerging from similar brain states, perceptionsand emotions. Such attractors are isomorphic to the attractors in which the corresponding dynamic system (thesignal time series) is evolving and characterize univocally the input element that produces them. Ifthe attractors are chaotic, this means that the signals are individually self-organized or, examiningmore signals together, there is a form of coherence between signals