link to homepage

Institute of Neuroscience and Medicine

Navigation and service

Articles in peer-reviewed journals

  • Hilgetag CC, Beul SF, van Albada SJ, Goulas A. (2019) An architectonic type principle integrates macroscopic cortico-cortical connections with intrinsic cortical circuits of the primate brain Network Neuroscience. DOI:10.1162/netn_a_00100
  • Gleeson P, Cantarelli M, Marin B, ... van Albada SJ, van Geit W, R Silver RA. Open Source (2019) Brain: a collaborative resource for visualizing, analyzing, simulating and developing standardized models of neurons and circuits Neuron DOI:10.1016/j.neuron.2019.05.019
  • Schmidt M., Bakker R., Shen K., Bezgin G., Diesmann M., van Albada SJ. (2018) A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLOS Comp Biol 14(10):e1006359 DOI:10.1371/journal.pcbi.1006359
  • van Albada SJ., Rowley AG., Senk J., Hopkins M., Schmidt M., Stokes AB., Lester DR., Diesmann M., Furber SB. (2018) Performance comparison of the digital neuromorphic hardware SpiNNaker and the neural network simulation software NEST for a full-scale cortical microcircuit model. Frontiers in Neuroscience 12:291 DOI:10.3389/fnins.2018.00291
  • Maksimov A., Diesmann M., van Albada SJ. (2018) Criteria on balance, stability and excitability in cortical networks for constraining computational models Front Comput Neurosci. 12:44 DOI:10.3389/fncom.2018.00044
  • Schmidt M., Bakker R., Hilgetag CC., Diesmann M., van Albada SJ. (2018). Multi-scale account of the network structure of macaque visual cortex. Brain Structure and Function 223(3):1409-1435. DOI:10.1007/s00429-017-1554-4.
2017 2016 2015 2013
  • Nowke C, Hentschel B, Kuhlen T, Schmidt M, van Albada SJ, Eppler JM, Bakker R, Diesmann M (2013) VisNEST – interactive analysis of neural activity data IEEE BioVis 65-72
  • Kerr CC, van Albada SJ, Neymotin SA, Chadderdon GL, Robinson PA, Lytton WW (2013) Cortical information flow in Parkinson's disease: a composite network/field model Frontiers Comput Neurosci 7: 39
  • van Albada SJ, Robinson PA (2013) Relationships between electroencephalographic spectral peaks across frequency bands Frontiers Hum Neurosci 7: 56
  • Crook SM, Bednar JA, Berger S, Cannon R, Davison AP, Djurfeldt M, Eppler J, Kriener B, Furber S, Graham B, Plesser HE, Schwabe L, Smith L, Steuber V, van Albada S (2012) Creating, documenting, and sharing network models Network: Comp Neur Sys 23: 131-149
  • Chiang AK, Rennie CJ, Robinson PA, van Albada SJ, Kerr CC (2011) Age trends and sex differences of alpha rhythms including split alpha peaks Clin Neurophysiol 122: 1505-1517
  • Kerr CC, van Albada SJ, Rennie CJ, Robinson PA (2010) Age trends in auditory oddball evoked potentials via component scoring and deconvolution Clin Neurophysiol 121: 962-976
  • van Albada SJ, Kerr CC, Chiang AK, Rennie CJ, Robinson PA (2010) Neurophysiological changes with age probed by inverse modeling of EEG spectra Clin Neurophysiol 121: 21-38
2009 2007

Book chapters

  • 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"
  • 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.
  • 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: International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers. Cham: Springer International Publishing, 22–32. DOI: 10.1007/978-3-319-12084-3_3.