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 | 1316 | 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 | 1052 | 2007 |
Neurocognitive architecture of working memory J Eriksson, EK Vogel, A Lansner, F Bergström, L Nyberg Neuron 88 (1), 33-46, 2015 | 727 | 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 | 615 | 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 | 546 | 1991 |
The cortex as a central pattern generator R Yuste, JN MacLean, J Smith, A Lansner Nature Reviews Neuroscience 6 (6), 477-483, 2005 | 439 | 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 | 306 | 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 | 236 | 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 | 230 | 1991 |
Associative memory models: from the cell-assembly theory to biophysically detailed cortex simulations A Lansner Trends in neurosciences 32 (3), 178-186, 2009 | 220 | 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 | 197 | 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 | 175 | 1992 |
Towards cortex sized artificial neural systems C Johansson, A Lansner Neural Networks 20 (1), 48-61, 2007 | 172 | 2007 |
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 | 155 | 2000 |
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 | 154 | 1989 |
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 | 151 | 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 | 147 | 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 | 139 | 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 | 136 | 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 | 134 | 2009 |