Present Status

I am Professor of Computational Neuroscience & Neural Engineering in the department of Computer Science, Faculty of Engineering, University of Sheffield. I serve as Academic Editor for the scientific journals Scientific Reports, PLOS ONE and PeerJ and I am one of the directors of the Organisation for Computational Neurosciences. I am Head of the Machine Learning group and I lead the Computational Neuroscience Laboratory. I also serve as Deputy Departmental Director of Research.

Research Focus

As a Computational Scientist and Engineer with extensive cross disciplinary experience, I contribute to the greater understanding of the brain’s wiring diagram via the use and development of unsupervised and reinforcement learning models, and their application to relevant research areas such as Neuromorphic Engineering. My team and I also develop novel analysis techniques for neuroscience data, based on machine learning methods.

Selected Publications

Berdan, R., Vasilaki, E. , Wei, S. L., Khiat, A., Indiveri, G., Serb, A., and Prodromakis, T. (2016), Emulating short-term synaptic dynamics with memristive devices. Scientific Reports, Nature Publishing Group, 6, 18639; doi:10.1038/srep18639

Gehring, T. V., Luksys, G., Sandi, C., and Vasilaki, E. (2015) Detailed classification of swimming paths in the Morris Water Maze: multiple strategies within one trial. Scientific Reports, Nature Publishing Group, 5, 14562; doi: 10.1038/srep1456.

Vasilaki, E. & Gugliano, M. (2014),  Emergence of Connectivity Motifs in Networks of Model Neurons with Short- and Long-term Plastic Synapses, PLoS ONE, 9(1): e84626. doi:10.1371/journal.pone.0084626.

Clopath, C., Buesing, L., Vasilaki, E., and Gerstner, W. (2010), Connectivity reflects Coding: A Model of Voltage-based Spike-Timing-Dependant-Plasticity with Homeostasis. Nature Neuroscience

Vasilaki, E., Fremaux, N.,Urbanczik, R., Senn, W, and Gerstner, W. (2009), Spike-based reinforcement learning in continuous State and Action Space: when policy gradient methods fail. PLOS Computational Biology, Vol.5(12):e1000586 doi:10.1371/journal.pcbi.1000586.

Current Grants

Welcome Trust, ‘The cortical representation of low-probability stimuli and its neuromorphic implementation’, Fellow Dr Vanattou-Saïfoudine, collaboration with the institute for NeuroInformatics ETHZ/University of Zurich (Sep 2016 - Aug 2019). Supervisor. 

© Eleni Vasilaki 2016