M
Mikael Djurfeldt
Researcher at Royal Institute of Technology
Publications - 31
Citations - 1988
Mikael Djurfeldt is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Spiking neural network & Supercomputer. The author has an hindex of 17, co-authored 31 publications receiving 1866 citations. Previous affiliations of Mikael Djurfeldt include Allen Institute for Brain Science & Massachusetts Institute of Technology.
Papers
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Journal ArticleDOI
Simulation of networks of spiking neurons: A review of tools and strategies
Romain Brette,Michelle Rudolph,Ted Carnevale,Michael L. Hines,David Beeman,James M. Bower,Markus Diesmann,Markus Diesmann,Abigail Morrison,Philip H. Goodman,Frederick C. Harris,Milind Zirpe,Thomas Natschläger,Dejan Pecevski,G. Bard Ermentrout,Mikael Djurfeldt,Anders Lansner,Olivier Rochel,Thierry Viéville,Eilif Muller,Andrew P. Davison,Sami El Boustani,Alain Destexhe +22 more
TL;DR: In this paper, a review of different aspects of the simulation of spiking neural networks is presented, with the aim of identifying the appropriate integration strategy and simulation tool to use for a given modeling problem related to spiking networks.
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Large-Scale Modeling – a Tool for Conquering the Complexity of the Brain
TL;DR: Methods to handle complexity, approaches to model building, and point to detailed large-scale models as a new contribution to the toolbox of the computational neuroscientist are discussed.
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Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer
Mikael Djurfeldt,Mikael Lundqvist,Christopher Johansson,Martin Rehn,Örjan Ekeberg,Anders Lansner +5 more
TL;DR: An overview of a neuronal network model of layers II/III of the neocortex built with biophysical model neurons, which is one of the largest simulations of this type ever performed on an IBM Blue Gene/L supercomputer.
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Coexistence and gene expression of phenylethanolamine N-methyltransferase, tyrosine hydroxylase, and neuropeptide tyrosine in the rat and bovine adrenal gland: effects of reserpine.
Martin Schalling,Åke Dagerlind,Stefan Brené,Håkan Hallman,Mikael Djurfeldt,Håkan Persson,Lars Terenius,Menek Goldstein,David H. Schlesinger,Tomas Hökfelt +9 more
TL;DR: Different regulatory mechanisms may operate for these three compounds coexisting in the adrenal medulla for these two catecholamine-synthesizing enzymes and the coexisting neuropeptide tyrosine.
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The Connection-set Algebra: a formalism for the representation of connectivity structure in neuronal network models, implementations in Python and C++, and their use in simulators
TL;DR: A Python implementation of the connection-set algebra is presented together with its application to describing various network connectivity patterns and how CSA can be used to describe network models in the PyNN and NineML network model description languages.