Computational models inspired by the architecture of the visual cortex have recently taken a huge leap, beating humans in many image analysis tasks. Still most of these models are based on pure feedforward connectivity, while half of the connections between cortical areas are running in the feedback directions. A major question therefore remains what the additional value of  feedback connections could be, and how to properly implement them in a computational model. This workshop bring together computational as well as experimental neuroscientists to attempt to provide the state-of-the-art on the topic.

The registration is free however mandatory due to a limited number of places. A validation mail is sent to the attendees (subject to available places).

Speakers:

• Sacha van Albada (Institute of Neuroscience and Medicine, Jülich)
• Pieter Roelfsema (Netherlands Institute for Neuroscience, Amsterdam)
• Lars Muckli (Institute of Neuroscience and Psychology, University of Glasgow)

• Kohitij Kar (McGovern Institute for Brain Research, Boston)
• Lauri Nurminen (Moran Eye Center, University of Utah, USA)
• Andreas Burkhalter (Washington University, St. Louis)
• Kenneth Knoblauch (Stem-cell and Brain Research Institute, Lyon)
• Grace Lindsay (University College London)
• Leopoldo Petreanu (Champalimaud Centre for the Unknown, Lisbon)
• Lindsey Glickfeld (Duke University, Dept. of Neurobiology, Durham)
• Ad Aertsen (Bernstein Center Freiburg, University Freiburg)
• Jorge Mejias (Swammerdam Institute for Life Sciences, University of Amsterdam)

If you need assistance for the registration, please contact us at eitn@unic.cnrs-gif.fr