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.