The Computational Neuroscience, Neurotechnology and Neuro-inspired AI Autumn School will be held from 24-28 October 2022, in person at the Intelligent Systems Research Centre in Ulster University, Magee campus. There will also be an option for online attendance.
Application deadline: 1st September 2022 (online and in-person).
Decision for in-person applicants (limited to 40): 9th September 2022.
Background
There have been rapid advancements and investments in research and development in brain sciences, neurotechnology, neural data modelling and neuro-inspired artificial intelligence (AI).
These advancements have not only led to deeper understanding of brain functions and disorders, but also the development and application of powerful AI and machine-learning algorithms that affect our everyday life. In fact, historically, AI was inspired by how intelligence arises from the brain.
The Computational Neuroscience, Neurotechnology and Neuro-inspired AI (CN3) Autumn School aims to train the next generation of researchers on these state-of-the-art developments. This short course will touch on the areas of computational neuroscience, neural data science, neurotechnology and neuro-inspired AI.
The School is unique in that important and timely topics either not delivered in other Schools or taught courses, or delivered only individually, will be delivered here in an integrated way, from pedagogical to advanced levels. These topics include computational modelling of neural-glial systems, neuromodulators, cognition, neurotechnology, neuromorphic computing, self-repaired intelligent machines, spiking neural networks and cognitive robotics. Mathematical foundations, coding exercises, ethics and entrepreneurship will also be covered. Moreover, although neural computation and neuro-inspired AI research are conducted in the island of Ireland, there is very little relevant training and taught courses, especially for early career researchers, in the region; this School aims to bridge this gap.
For enquiries, please contact KongFatt via e-mail (k.wong-lin@ulster.ac.uk).