Conferencia: "Computational neuroscience: bridging the gap between experimental neuroscience and artificial intelligence"

Fecha: Miércoles, 11 de junio de 2014
Lugar: Sala de conferencias del CITIC
Horario: 11:30 h.
Descripción: Author: Jesús A. Garrido Alcázar (U. Pavia, Italy)
- Abstract: Understanding the human brain has been proposed as the main challenge of the twenty-first century as made evident by the European flagship Human Brain Project and the BRAIN initiative of the United States National Institute of Health. In parallel to this advance in the field of neuroscience, the information technology industry is dedicating a rising amount of resources to develop biologically inspired technologies, as it is the case of deep learning architectures (e.g., Android voice recognition system or other systems extracting knowledge from Youtube videos). Although both, experimental neuroscience and artificial intelligence come from the same source of inspiration, i.e. brain information processing, their aims and challenges remain quite far from each other. Computational modeling has been called in to fill this gap. In this talk, based on what we have learnt through our experience in cerebellar modeling for motor control, we will revise the main challenges that computational modeling will have to face in the next decade and how artificial intelligence architectures can emerge from experimental sources.
Organiza: Visita de investigación en el marco de una acción SSV del Programa GENIL asociado al CEI BioTic GRANADA.
Más información: eros@ugr.es

Conferencia: «Computational neuroscience: bridging the gap between experimental neuroscience and artificial intelligence»