Andreas Stöckel

Andreas is a PhD student in the Computational Neuroscience Research Group at the University of Waterloo. His work focuses on incorporating low-level biological constraint into neural modelling frameworks, as well as exploring adaptive control and filtering as building blocks for biologically inspired artificial agents.

Prior to coming to Waterloo he studied computer science with a focus on artificial intelligence (B.A.Sc. in Cognitive Informatics, Bielefeld University, Germany; M.A.Sc. in Intelligent Systems, Bielefeld University, Germany).

• http://compneuro.uwaterloo.ca/people/andreas-stoeckel.html

Recent Publications

• Stöckel, A., Stewart, T.C., Eliasmith, C. (2020) Connecting Biological Detail with Neural Computation: Application to the Cerebellar Granule-Golgi Microcircuit. International Conference on Cognitive Modelling.

• Stöckel, A., Stewart, T.C., and Eliasmith, C. (2020) A Biologically Plausible Spiking Neural Model of Eyeblink Conditioning in the Cerebellum. 42nd Annual Meeting of the Cognitive Science Society