Currently I am a PhD student in theoretical neuroscience, investigating the connections between biological patterns of cognition and the computational theory behind digital information processing.
Previously, I obtained a Computer Engineering Bachelor degree. Since my first years of academic education, I have supplied the built of a scientific background with training activities, by taking part in group projects to effectively develop the skills of numerical analysis and problem solving. B. Sc. thesis gave its greatest impact in my personal establishment, since it raised my passion for the methodological employment of statistical tools to formulate theoretical insights.
Afterwards, I decided to obtain a Master of Science Degree which gave me the opportunity of approaching to the domains of information theory, signal processing, statistical analysis, coding theory, cryptography, telecommunication networks and to the study of physical phenomena involved with design of novel technological solutions. During the last years, I successfully improved my theoretical problem formulation by developing abstraction and argumentation skills. M. Sc. thesis was inspired by the interest in knowing how human brain evolved its strategy of encoding and decoding information, or rather how our mind depicts the surrounding world.
Always more convinced that what everyone enjoys the most is getting to know new things by intersecting a prior notion of the world with its own perceptive experience, I started to inspect innovative computational tools based on the principles of neural activity. Now, both for the interest in further inspecting how does the brain achieve its outstanding functions and for my personal deep passion for technological innovation and scientific research, I intend to expand my knowledge to an interdisciplinary level.
Cortical state and visual attention in primates V1 and V4
The main objective is the inspection of how and if attention is implemented as activity state change of cortical microcircuits. Information-theoretic investigation and spectral analysis is applied to field potentials and spikes in response to visual stimuli with different degree of attentional engagement. Experiments and data were provided by our collaborators from Newcastle University. Collaborations: Alex Thiele at the Institute Of Neuroscience, Newacstle University.
Ferro, D., Gripon, V. and Jiang, X., 2016, July. Nearest neighbour search using binary neural networks. In Neural Networks (IJCNN), 2016 International Joint Conference on (pp. 5106-5112). IEEE.