Since Claude Shannon's seminal work in 1948, information theory has been applied across a wide range of scientific and technological fields. In particular, it has become a powerful tool for analyzing time series in disciplines such as computer science, economics, physics, and medicine. In this talk, we will introduce key concepts from information theory, such as entropy, divergences, complexities, and other quantifiers applied to the study of time series. We will focus specifically on how these tools have been employed in the field of neuroscience to analyze neurophysiological signals, including electroencephalography (EEG), magnetoencephalography (MEG), intracranial EEG, and local field potentials. These techniques have proven valuable in the investigation of various neurological and neurodegenerative disorders.
Diego Mateos received his Ph.D. in Physics from the National University of Cordoba (Argentina) in 2015. He then started a postdoctoral research position in neuroscience at the Sick Kids Hospital in Toronto, Canada. In 2018, he was honoured with a postdoctoral fellowship from the Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) and later obtained the position of Associate Professor at the Universidad Autónoma de Entre Ríos (UADER). He founded the Neuroimage Analysis research group at the Instituto de Matemática Aplicada del Litoral (IMAL-CONICET-UNL). In order to immerse himself in experimental neuroscience, he was selected for a high throughput Computing and Artificial Intelligence IKUR postdoctoral contract in mid-2023, and joined the experimental neurobiology research group of Dr. Encinas at the Achucarro Basque Centre for Neuroscience, where he is currently based. He specializes in developing innovative analytical methods for time series and signals, utilizing nonlinear signal analysis, multi-dimensional system exploration, and high-order information. His research addresses complex signal analysis, aiding diagnosis and treatment in neurosciences, medicine, and psychology. Additionally, he explores brain complexity at microscopic, mesoscopic, and macroscopic levels, investigating dynamics and patterns related to consciousness and neurological pathologies.
La charla tendrá lugar en la Sala Luis Pesquera del IFCA a las 12:00. Café previo a las 11:45, os pedimos por favor que traigáis vuestras tazas.
