Neuroplasticity is the process by which our brain is able to learn and adapt to the changing environment. The rules governing neuroplasticity are also at the core of current models applied to machine learning which helps for the development of more efficient computers. This workshop will focus on the recent developments in neural plasticity and machine learning and their mutual inspiration. We aim to bring together national and international researchers from the experimental and computational neuroscience communities, in the field of synaptic plasticity, network dynamic and information processing to discuss current knowledge in the respective fields and to elaborate how they can be integrated.
ORGANISERS
Dr Andre Grüning, Department of Computer Science, University of Surrey
Dr Julie Seibt, School of Biosciences and Medicine, University of Surrey
