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Tomas Van Pottelbergh
Background -
Research -
Publications
Position: PhD student
Office Location: BN4-85
E-mail: tmjv2 [at] cam.ac.uk
Thesis Title: Linking the balance in single neurons and neural networks
Supervisor: Professor Rodolphe Sepulchre
Background
2013: BSc Electrical Engineering (KU Leuven, Belgium)
2015: MSc Mathematical Engineering (KU Leuven, Belgium)
Dissertation: Effects of Refractoriness and Adaptation on the Dynamics of Neuronal Populations
Supervisors: Bart De Moor (KU Leuven), Moritz Deger and Wulfram Gerstner (EPFL)
Research Interests
Single neuron dynamics, neural network dynamics, integrate-and-fire models, neuromodulation, balanced networks
Publications
Conference Posters
Van Pottelbergh T, Sepulchre R. Reduction of conductance-based neuron models for neuromodulation studies. 27th Annual Computational Neuroscience Meeting (CNS*2018)
Conference Presentations
Van Pottelbergh T, Drion G, Sepulchre R. Phase plane modelling from voltage clamp experiments, 4th International Conference on Mathematical Neuroscience (ICMNS 2018)
Van Pottelbergh T, Sepulchre R. Can integrate-and-fire models simulate robust neuromodulation? 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1.
BMC Neuroscience. 2017;18(Suppl 1):O2.
doi:10.1186/s12868-017-0370-3.
Journal Articles
Van Pottelbergh T, Drion G, Sepulchre R. Robust modulation of integrate-and-fire models. Neural Computation. 2018 Apr;30(4):987-1011.
doi:10.1162/neco_a_01065