Publications

  • Osborne, H and de Kamps, M. A numerical population density technique for N-dimensional neuron models. Frontiers in Neuroinformatics, 16 https://doi.org/10.3389/fninf.2022.883796

  • Osborne, H., Lai, Y.M., Lepperød, M.E., Sichau, D., Deutz, L. and De Kamps, M., 2021. MIIND: a model-agnostic simulator of neural populations. Frontiers in Neuroinformatics, 15.

  • De Kamps, M., Lepperød, M. and Lai, Y.M., 2019. Computational geometry for modeling neural populations: From visualization to simulation. PLoS computational biology, 15(3), p.e1006729.

  • Lai, Y.M. and de Kamps, M., 2017. Population density equations for stochastic processes with memory kernels. Physical Review E, 95(6), p.062125.

  • de Kamps, M., 2013. A generic approach to solving jump diffusion equations with applications to neural populations. arXiv preprint arXiv:1309.1654.

  • de Kamps, M., 2003. A simple and stable numerical solution for the population density equation. Neural computation, 15(9), pp.2129-2146.