Johannes Hjorth's Old Research Page

ResearcherID: A-2043-2009

Johannes Hjorth received his MSc in Engineering Physics (Teknisk Fysik) at the Royal Institute of Technology (KTH) in 2003. He then joined the Studies for Artificial Neural Systems (SANS) group, later renamed the Computational Biology (CB) group at KTH as a PhD student and went on to receive a PhD in Computer Science in 2009. He is affiliated with the Stockholm Brain Insitute (SBI).

This page has not been updated since summer 2009, please see my webpage at the CNCR Neuroinformatics group instead.


  • Johannes Hjorth (PhD thesis 2009)
    Computer Modelling of Neuronal Interactions in the Striatum (KTHB) ISBN 978-91-7415-331-6, Trita-CSC-A 2009:08, ISSN 1653-5723
  • Johannes Hjorth, Kim T Blackwell and Jeanette Hellgren Kotaleski
    Gap junctions between striatal fast spiking interneurons regulate spiking activity and synchronisation as a function of cortical activity
    Journal of Neuroscience 2009 29: 5276-5286
    Download model (zip)
  • Johannes Hjorth (Licentiate Thesis 2006)
    Information Processing in the Striatum — A Computational Study (KTHB)
    ISBN 91-7178-368-7, TRITA-CSC-A 2006:8, ISSN 1653-5723
  • Johannes Hjorth, Alex Hanna Elias and Jeanette Hellgren Kotaleski
    The significance of gap junction location in fast spiking interneurons Neurocomputing 2007, 70(10-12): 1887-1891
  • Malin Sandström, Johannes Hjorth, Anders Lansner and Jeanette Hellgren Kotaleski
    The impact of the distribution of isoforms on CaMKII activation Neurocomputing 2006, 69(11-12): 1010-1013


  • Mikael Djurfeldt, Johannes Hjorth*, Jochen Eppler*, Niraj Dudani, Moritz Helias, Tobias Potjans, Upinder S. Bhalla, Markus Diesmann, Jeanette Hellgren Kotaleski, and Örjan Ekeberg
    Run-Time Interoperability between Neuronal Network Simulators based on the MUSIC Framework
  • Andreas Klaus, Johannes Hjorth, Jeanette Hellgren Kotaleski
    The influence of stuttering properties and hyperpolarizing input for the firing activity in pairs of electrically coupled striatal fast-spiking interneurons

Return to Main Page