Gustavo Deco, The Computational Neuroscience Group at Universitat Pompeu Fabra
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Gustavo Deco is Research Professor at the Institució Catalana de Recerca i Estudis Avançats (ICREA) and Professor (Catedrático) at the Pompeu Fabra University (UPF) where he leads the Computational Neuroscience group. He is also Director of the Center of Brain and Cognition (UPF). In 1987 he received his PhD in Physics for his thesis on Relativistic Atomic Collisions. In 1987, he was a postdoc at the University of Bordeaux in France. From 1988 to 1990, he obtained a postdoc of the Alexander von Humboldt Foundation at the University of Giessen in Germany. From 1990 to 2003, he lead the Computational Neuroscience Group at Siemens Corporate Research Center in Munich, Germany. He obtained in 1997 his Habilitation (maximal academical degree in Germany) in Computer Science (Dr. rer. nat. habil.) at the Technical University of Munich for his thesis on Neural Learning. In 2001, he received his PhD in Psychology at the Ludwig-Maximilians-University of Munich.
Martijn van den Heuvel, Vrije Universiteit and VU Medical Center, Amsterdam
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Dr. Martijn van den Heuvel has conducted research on both structural and functional brain networks. He has developed a variety of methodologies to describe brain network architecture and its variation. His particular interest lies in assessing effects of development, disease and ageing on graph theoretic measures of the connectome. His discoveries of age and disease related changes on small-worldness have had a far reaching impact on our understanding of cortical organisation.
Dafnis Batalle, King's College London, UK
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Dr. Dafnis Batalle is both an engineer and a neuroscientist. He is studying brain connectivity and brain network development in neonates and infants in order to obtain features that are associated with key developmental processes and neurodevelopmental outcome. Dr. Batalle's PhD at the University of Barcelona focused on the characterisation of altered structural and functional brain network topology in infants with intrauterine growth restriction, and its association with later neurodevelopment. Since Dr. Batalle joined King's College London in 2014, he is studying the use of microstructural features to characterise white matter connectivity and grey matter maturational processes, including alterations associated with prematurity and other perinatal risk factors. In addition, he is working in the development of whole brain computational models in neonates linking structural and functional connectivity, in order to measure underlying biological characteristics such as macroscopic excitatory/inhibitory ratios, relevant to assess risk of altered neurodevelopment.