Valerio Alfieri is a PhD student at the Laboratory of Embodied Natural and Artificial Intelligence (LENAI) of the ISTC-CNR where he studies computational models of brain and behaviour. His current research is focused on the use of chaotic recurrent neural networks as models of learning, decision making and goal-directed behaviour.
He received M.Sc. cum laude in Neurobiology in 2020 at La Sapienza University, Rome, Italy. During his thesis activity he worked as a trainee at the European Molecular Biology Laboratory (EMBL), Epigenetics and Neurobiology unit, where he focused his research on pharmacological, behavioural and genetic approaches to study social behaviour in mice.
In 2020-2021 he took part of the Advanced School in Artificial Intelligence (AS-AI) to enhance his knowledge on computational neuroscience and machine learning applications, where he successfully accomplished his research project focused on a computational model of the neural circuits of social fear.
Publications: Alfieri V., Mattera A. and Baldassarre G. (2022). Neural Circuits Underlying Social Fear in Rodents: An Integrative Computational Model
Keywords: computational neuroscience, neurobiology, behavioural neuroscience, neural networks, goal-directed behaviour, chaotic networks, social fear, machine learning