Anders Lansner
Anders Lansner
professor of comptuter science, Dept of Mathematics, Stockholm university and KTH
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Cited by
Cited by
A Bayesian neural network method for adverse drug reaction signal generation
A Bate, M Lindquist, IR Edwards, S Olsson, R Orre, A Lansner, ...
European journal of clinical pharmacology 54, 315-321, 1998
Simulation of networks of spiking neurons: a review of tools and strategies
R Brette, M Rudolph, T Carnevale, M Hines, D Beeman, JM Bower, ...
Journal of computational neuroscience 23, 349-398, 2007
Neurocognitive architecture of working memory
J Eriksson, EK Vogel, A Lansner, F Bergström, L Nyberg
Neuron 88 (1), 33-46, 2015
Neural networks that co-ordinate locomotion and body orientation in lamprey
S Grillner, T Deliagina, A El Manira, RH Hill, GN Orlovsky, P Wallén, ...
Trends in neurosciences 18 (6), 270-279, 1995
Neuronal network generating locomotor behavior in lamprey: circuitry, transmitters, membrane properties, and simulation
S Grillner, P Wallen, L Brodin, A Lansner
Annual review of neuroscience 14 (1), 169-199, 1991
The cortex as a central pattern generator
R Yuste, JN MacLean, J Smith, A Lansner
Nature Reviews Neuroscience 6 (6), 477-483, 2005
Intrinsic function of a neuronal network—a vertebrate central pattern generator
S Grillner, Ö Ekeberg, A El Manira, A Lansner, D Parker, J Tegner, ...
Brain Research Reviews 26 (2-3), 184-197, 1998
Theta and gamma power increases and alpha/beta power decreases with memory load in an attractor network model
M Lundqvist, P Herman, A Lansner
Journal of cognitive neuroscience 23 (10), 3008-3020, 2011
A computer based model for realistic simulations of neural networks: I. The single neuron and synaptic interaction
Ö Ekeberg, P Wallén, A Lansner, H Trĺvén, L Brodin, S Grillner
Biological cybernetics 65, 81-90, 1991
Associative memory models: from the cell-assembly theory to biophysically detailed cortex simulations
A Lansner
Trends in neurosciences 32 (3), 178-186, 2009
Computing the local field potential (LFP) from integrate-and-fire network models
A Mazzoni, H Lindén, H Cuntz, A Lansner, S Panzeri, GT Einevoll
PLoS computational biology 11 (12), e1004584, 2015
Computer simulation of the segmental neural network generating locomotion in lamprey by using populations of network interneurons
J Hellgren, S Grillner, A Lansner
Biological cybernetics 68 (1), 1-13, 1992
Towards cortex sized artificial neural systems
C Johansson, A Lansner
Neural Networks 20 (1), 48-61, 2007
A one-layer feedback artificial neural network with a Bayesian learning rule
A Lansner, Ö Ekeberg
International journal of neural systems 1 (01), 77-87, 1989
Bayesian neural networks with confidence estimations applied to data mining
R Orre, A Lansner, A Bate, M Lindquist
Computational Statistics & Data Analysis 34 (4), 473-493, 2000
A computer-based model for realistic simulations of neural networks. II. The segmental network generating locomotor rhythmicity in the lamprey
P Wallén, O Ekeberg, A Lansner, L Brodin, H Trâvén, S Grillner
Journal of Neurophysiology 68 (6), 1939-1950, 1992
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems
D Brüderle, MA Petrovici, B Vogginger, M Ehrlich, T Pfeil, S Millner, ...
Biological cybernetics 104, 263-296, 2011
Bistable, irregular firing and population oscillations in a modular attractor memory network
M Lundqvist, A Compte, A Lansner
PLoS Computational Biology 6 (6), e1000803, 2010
Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer
M Djurfeldt, M Lundqvist, C Johansson, M Rehn, O Ekeberg, A Lansner
IBM Journal of Research and Development 52 (1.2), 31-41, 2008
Simple cellular and network control principles govern complex patterns of motor behavior
A Kozlov, M Huss, A Lansner, JH Kotaleski, S Grillner
Proceedings of the National Academy of Sciences 106 (47), 20027-20032, 2009
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