Book chapters

2022

• van Albada, SJ., Morales-Gregorio, A., Dickscheid T., Goulas A., Bakker R. Bludau S., Palm G., Hilgetag CC., Diesmann M. (2022). Bringing Anatomical Information into Neuronal Network Models. In: Giugliano, M., Negrello, M., Linaro, D. (eds) Computational Modelling of the Brain. Advances in Experimental Medicine and Biology(), vol 1359. Springer, Cham.
  DOI: 10.1007/978-3-030-89439-9_9

2021

• van Albada SJ., Pronold J., van Meegen A., Diesmann M. (2021) Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex. In: Amunts K., Grandinetti L., Lippert T., Petkov N. eds. Brain-Inspired Computing. Cham : Springer, Lecture Notes in Computer Science 12339, 47-59.
  DOI: 10.1007/978-3-030-82427-3_4

2018

• Schmidt M., Diesmann M., van Albada SJ. (2018) Necessity and feasibility of large-scale neuronal network simulations. In: Lecture Notes of the 49th IFF Spring School “Physics of Life"

2017

• Senk J., Yegenoglu A., Amblet O., Brukau Y., Davison A., Lester DR., Lührs A., Quaglio P., Rostami V., Rowley A., Schuller B., Stokes AB., van Albada SJ., Zielasko D., Diesmann M., Weyers B., Denker M., Grün S. (2017) A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. In: Di Napoli E, Hermanns M-A, Iliev H, Lintermann A, Peyser A eds. High-Performance Scientific Computing. Cham: Springer International Publishing, 243–256.
  DOI: 10.1007/978-3-319-53862-4_21.

2014

• van Albada SJ., Kunkel S., Morrison A., Diesmann M. (2014) Integrating Brain Structure and Dynamics on Supercomputers. In: Grandinetti L., Lippert T., Petkov N. eds. Brain-Inspired Computing LNCS 8603:22-32.
  DOI: 10.1007/978-3-319-12084-3_3