8 October 2021
on course website
Artificial Intelligence & Neuroscience
blended courseThe ACAIN 2021 is an interdisciplinary event. It will be a special opportunity to hear about cutting-edge research by leading scientists in AI and Neuroscience.
The two days of keynote talks and oral presentations (the ACAIN Symposium, 7-8 October,2021) will be preceded by lectures of leading scientists (the ACAIN Course, October 5-6,2021).
Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on a more efficient synergy and cooperation between the two research communities. These are the goals of the International Course and Symposium – ACAIN 2021, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2021 will be a special opportunity to hear about cutting-edge research by leading scientists in both fields. The two days of keynote talks and oral presentations (the Symposium) will be preceded by two days of lectures (the Course) for students and newcomers to this interdisciplinary field. Moreover, ICAN 2021 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience.
Course leader
Giuseppe Nicosia, University of Catania, Italy & University of Cambridge, UK
Target group
MSc students, PhD students, PostDocs, junior/senior academics, and industry practitioners will be typical profiles of the ACDL attendants. In fact, the Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior and junior faculty at their own institutions.
Course aim
In a proven, unique format you will be exposed to a high-impact learning experience, taking you outside the comfort zone of your own technical expertise, that will empower you with new analytical and strategic skills across areas of Artificial Intelligence and Neuroscience.
Lecturers
Timothy Behrens, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
Matthew Botvinick, DeepMind, UK
Claudia Clopath, Computational Neuroscience Laboratory, Department of Bioengineering, Faculty of Engineering, Imperial College London, UK
Karl Friston, Institute of Neurology, University College London, UK & Wellcome Trust Centre for Neuroimaging
Rosalyn Moran, Department of Neuroimaging, King’s College London, UK
Maneesh Sahani, Gatsby Computational Neuroscience Unit, University College London, UK
Tutorial Speaker(s)
James C.R. Whittington, Wellcome Centre for Integrative Neuroimaging, University of Oxford, UK
More Speakers to be announced soon!
acain@artificial-intelligence-sas.org
Credits info
8 EC
The Course will involve a total of 36-40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course.
Fee info
EUR 580: Early Onsite Registration Fee.
EUR 630: Late Onsite Registration Fee.
Scholarships
n.a.
Register for this courseon course website