Research

R. Nartallo-Kaluarachchi, M. Kringelbach, G. Deco, R. Lambiotte and A. Goriely. Nonequilibrium physics of brain dynamics. Physics Reports (in press).

Links: arXiv

R. Nartallo-Kaluarachchi, R. Lambiotte and A. Goriely. From reductionism to realism: Holistic mathematical modelling for complex biological systems. Journal of the Royal Society Interface (in press).

Links: arXiv

R. Nartallo-Kaluarachchi, L. Bonetti, G. Fernandez-Rubio, P. Vuust, G. Deco, M. Kringelbach, R. Lambiotte and A. Goriely. Multilevel irreversibility reveals higher-order organization of nonequilibrium interactions in human brain dynamics. Proceedings of the National Academy of Sciences 122 (10) e2408791122.

Links: Article, Oxford Maths Press, Oxford Psychiatry Press

R. Nartallo-Kaluarachchi, M. Asllani, G. Deco, M. Kringelbach, A. Goriely and R. Lambiotte. Broken detailed balance and entropy production in directed networks. Physical Review E 110, 034313.

Links: Article

R. Nartallo-Kaluarachchi, R. Manson-Sawko, S. Ubaru, D. Huh, M. J. Zimon, L. Horesh. Quantifying policy uncertainty in generative flow networks with uncertain rewards NeurIPS 2025 Workshop MLxOR.

Links: Article

R. Nartallo-Kaluarachchi, P. Expert, D. Beers, A. Strang, M. Kringelbach, R. Lambiotte and A. Goriely. Decomposing force fields as flows on graphs reconstructed from stochastic trajectories. Proceedings of the Third Learning on Graphs Conference (LoG) PMLR 269.

Links: Article, Best Paper Award

A Gatti*, R Nartallo-Kaluarachchi*, A Uppal*, and P Benedusi. Computational Modeling of Ephaptic coupling in Myelinated and Unmyelinated Axon Bundles Using the EMI Framework. Computational Physiology: Simula Summer School 2023− Student Reports 19-37.

Links: Article

R Nartallo-Kaluarachchi. Splitting integrators for spiking neuronal models. Fourth-year disseration, University of Warwick (Supervised by Dr M. Tamborrino).