Eleni Vasilaki, PhD, MSc, BSc

2009- Computer Science University of Sheffield, Sheffield, England, United Kingdom 
Reinforcement Learning, Synaptic plasticity
"Eleni Vasilaki"

I am Associate Professor (Senior Lecturer) in Computer Science, Faculty of Engineering, University of Sheffield and Visiting Professor (Gastprofessor) at the Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp. I also serve as Academic Editor for the scientific journals PLOS ONE and PeerJ and I am one of the directors of the Organisation for Computational Neurosciences. Within the group of Machine Learning, I lead the Computational Neuroscience Laboratory.
Prior to my Academic appointment in Sheffield, I was Scientific Collaborator in the groups of Prof. Wulfram Gerstner at the Ecole Polytechnique Fédérale de Lausanne (EPFL) and Prof. Walter Senn at the University of Bern. I hold a PhD in Computer Science and Artificial Intelligence (University of Sussex), a Masters in Microelectronics (University of Athens) and a Bachelors degree (with distinction) in Informatics & Telecommunications (University of Athens).

Mean distance: 14.5 (cluster 17)
Cross-listing: MathTree

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Han C, English G, Saal HP, et al. (2023) Modelling novelty detection in the thalamocortical loop. Plos Computational Biology. 19: e1009616
Whelan MT, Jimenez-Rodriguez A, Prescott TJ, et al. (2022) A robotic model of hippocampal reverse replay for reinforcement learning. Bioinspiration & Biomimetics
Vanattou-Saïfoudine N, Han C, Krause R, et al. (2021) A robust model of Stimulus-Specific Adaptation validated on neuromorphic hardware. Scientific Reports. 11: 17904
Manneschi L, Lin AC, Vasilaki E. (2021) SpaRCe: Improved Learning of Reservoir Computing Systems Through Sparse Representations. Ieee Transactions On Neural Networks and Learning Systems
Manneschi L, Vasilaki E. (2020) An alternative to backpropagation through time Nature Machine Intelligence. 2: 155-156
Huzard D, Vouros A, Monari S, et al. (2019) Constitutive differences in glucocorticoid responsiveness are related to divergent spatial information processing abilities. Stress (Amsterdam, Netherlands). 1-13
Vouros A, Gehring TV, Szydlowska K, et al. (2018) A generalised framework for detailed classification of swimming paths inside the Morris Water Maze. Scientific Reports. 8: 15089
Cope AJ, Vasilaki E, Minors D, et al. (2018) Abstract concept learning in a simple neural network inspired by the insect brain. Plos Computational Biology. 14: e1006435
Cope AJ, Sabo C, Vasilaki E, et al. (2017) A computational model of the integration of landmarks and motion in the insect central complex. Plos One. 12: e0172325
Berdan R, Vasilaki E, Khiat A, et al. (2016) Emulating short-term synaptic dynamics with memristive devices. Scientific Reports. 6: 18639
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