Personal
Maximilian Eggl
Investigador emergente
- Biomarcadores de Imaging Traslacional (URL: https://in.umh-csic.es/grupo3874)
- → Línea emergente: Biomarcadores de la estructura y función cerebral inspirados en IA (URL: https://in.umh-csic.es/grupo88927)
- A framework for the emergence and analysis of language in social learning agents. TJ Wieczorek, T Tchumatchenko, CW Carvajal, MF Eggl. arXiv 2024 preprint arXiv:2305.02632
- Optimal Agnostic Control of Unknown Linear Dynamics in a Bounded Parameter Range. J Carruth, MF Eggl, C Fefferman, CW Rowley. arXiv. 2024 prepint; arXiv:2309.10138
- Linking spontaneous and stimulated spine dynamics. MF Eggl, TE Chater, J Petkovic, Y Goda, T Tchumatchenko Communications Biology 2023 6 (1), 930
- A quantitative rule to explain multi-spine plasticity. TE Chater, MF Eggl, Y Goda, T Tchumatchenko. BioRxiv. 2022 2022.07. 04.498706
- A parallel-in-time approach for accelerating direct-adjoint studies. CS Skene, MF Eggl, PJ Schmid. Journal of Computational Physics. 2021 429, 110033
- A gradient-based framework for maximizing mixing in binary fluids. MF Eggl, PJ Schmid Journal of Computational Physics. 2020 368, 131-153
- Mixing enhancement in binary fluids using optimised stirring strategies. MF Eggl, PJ Schmid. Journal of Fluid Mechanics. 2020 899, A24
Maximilian Eggl