Control Group

Cambridge University Department of Engineering

Tomas Van Pottelbergh

Background - Research - Publications

Position: PhD student

Office Location: BN4-85

E-mail: tmjv2 [at]

Thesis Title: Linking the balance in single neurons and neural networks

Supervisor: Professor Rodolphe Sepulchre


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


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