The Computational and Translational Neuroscience (CTN) Lab

The Computational and Translational Neuroscience Laboratory (CTNLab), founded and coordinated by Daniele Caligiore and Massimo Silvetti, is a laboratory of the Institute of Cognitive Sciences and Technologies (ISTC), part of the Italian National Research Council (CNR).

CTNLab uses an interdisciplinary approach to do neuroscience research and to translate it into clinical applications and novel therapies for nervous system disorders. The ultimate aim is to translate the advances in neuroscience into benefits for patients.

Keywords: Alzheimer’s disease, ADHD, Artificial Intelligence, Ataxia, Autism, Big data, Computational Psychiatry, Depression, Dynamic causal modelling, Digital twin, Machine Learning, Parkinson’s disease, Personalised Medicine, Precision Medicine, System-level Computational Neuroscience, Virtual Patient

Methodological approach. Investigating multiple levels of brain complexities by combining two complementary approaches: 

  1. Theory-driven approaches which use computational models that instantiate explicit hypotheses about brain functions at multiple levels of analysis (from circuit to behavioral level).
  2. Data-driven approaches which apply artificial intelligence and machine learning methods to high dimensional data to improve classification of disease, predict treatment outcomes or improve treatment selection.

These modelling approaches are integrated with empirical results of behavioral and neurophysiological experiments as well as with clinical and imaging data. Advanced neuroimaging analyses (MVPA, DCM, DTI) could be also used to test theoretical predictions.

Lab network facilities. Imaging techniques (e.g., Policlinico Umberto I, Fondazione Santa Lucia), motion capture systems (e.g., University of Genova), neurophysiology (e.g., Campus Bio-Medico).