Auffarth et al. 2011 | Auffarth, B., Kaplan, B. and Lansner, A. | Map formation in the olfactory bulb by axon guidance of olfactory neurons | Front Syst Neurosci (2011) 5:84 doi:10.3389/fnsys.2011.00084 |
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Benjaminsson and Lansner 2012 | Benjaminsson, S. and Lansner, A. | Nexa: A scalable neural simulator with integrated analysis | Network: Computation in Neural Systems (2012) 23: 254-271 doi:10.3109/0954898X.2012.737087 |
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Berthet and Lansner 2014 | Berthet, P. and Lansner, A. | Optogenetic Stimulation in a Computational Model of the Basal Ganglia Biases Action Selection and Reward Prediction Error | PLoS ONE (2014) 9(3): e90578 doi:10.1371/journal.pone.0090578 |
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Berthet et al. 2012 | Berthet, P., Hellgren-Kotaleski, J. and Lansner, A. | Action selection performance of a reconfigurable Basal Ganglia model with a Hebbian-Bayesian Go-NoGo connectivity | Front. Behav. Neurosci. (2012) 6:65 doi:10.3389/fnbeh.2012.00065 |
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Brüderle et al. 2011 | Brüderle, D., Petrovici, M. A., Vogginger, B., Ehrlich, M., Pfeil, T., Millner, S., Grübl, A., Wendt, K., Müller, E., Schwartz, M.-O., de Oliveira, D. H., Jeltsch, S., Fieres, J., Schilling, M., Müller, P., Breitwieser, O., Petkov, V., Muller, L., Davison, A. P., Krishnamurthy, P., Kremkow, J., Lundqvist, M., Muller, E., Partzsch, J., Scholze, S., Zühl, L., Mayr, C., Destexhe, A., Diesmann, M., Potjans, T. C., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K. | A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems | Biological Cybernetics (2011) 104(4-5): 263-296 doi:10.1007/s00422-011-0435-9 |
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Kaplan and Lansner 2014 | Kaplan, B.A. and Lansner, A. | A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory system | Front. Neural Circuits (2014) 8:5 doi:10.3389/fncir.2014.00005 |
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Kaplan et al. 2013 | Kaplan, B.A., Lansner, A., Masson, G.S. and Perrinet, L.U. | Anisotropic connectivity implements motion-based prediction in a spiking neural network | Front. Comput. Neurosci. (2013) 7:112 doi:10.3389/fncom.2013.00112 |
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Kaplan Khoei et al 2014 | Kaplan, B.A., Khoei, M.A., Lansner, A. and Perrinet, L.U. | Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network | International Joint Conference on Neural Networks (IJCNN) (2014) : 3205-3212 doi:10.1109/IJCNN.2014.6889847 |
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Krishnamurthy et al. 2012 | Krishnamurthy, P., Silberberg, G. and Lansner, A. | A cortical attractor network with Martinotti cells driven by facilitating synapses | PLoS ONE (2012) 7(4): e30752 doi:10.1371/journal.pone.0030752 |
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Lundqvist et al. 2011a | Lundqvist, M., Herman, P. and Lansner, A. | Theta and gamma power increases and alpha/beta power decreases with memory load in an attractor network model | J Cogn Neurosci (2011) 23:3008-3020 doi:10.1162/jocn_a_00029 |
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Lundqvist et al. 2012 | Lundqvist, M., Herman, P. and Lansner, A. | Variability of spike firing during theta-coupled replay of memories in a simulated attractor network | Brain Res (2012) 1434:152-161 doi:10.1016/j.brainres.2011.07.055 |
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Meli and Lansner 2013 | Meli, C. and Lansner, A. | A modular attractor associative memory with patchy connectivity and weight pruning | Network: Computation in Neural Systems (2013) 24(4):129-150 doi:10.3109/0954898X.2013.859323 |
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Petrovici et al. 2014 | Petrovici, M. A., Vogginger, B., Müller, P., Breitwieser, O., Lundqvist, M., Muller, L., Ehrlich, M., Destexhe, A., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K. | Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms | PLoS ONE (2014) 9(10): e108590 doi:10.1371/journal.pone.0108590 |
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Schain et al. 2013 | Schain, M., Benjaminsson, S., Varnäs, K., Forsberg, A., Halldin, C., Lansner, A., Farde, L. and Varrone, A. | Arterial input function derived from pairwise correlations between PET-image voxels | J Cereb Blood Flow Metab (2013) 33:1058-1065 doi:10.1038/jcbfm.2013.47 |
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Silverstein and Lansner 2011 | Silverstein, D.N. and Lansner, A. | Is Attentional Blink a Byproduct of Neocortical Attractors? | Front Comput Neurosci. (2011) 5: 13 doi:10.3389/fncom.2011.00013 |
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Tully et al. 2014 | Tully, P. J., Hennig, M. H. and Lansner, A. | Synaptic and Nonsynaptic Plasticity Approximating Probabilistic Inference | Front. Synaptic Neurosci. (2014) 6:8 doi:10.3389/fnsyn.2014.00008 |
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Vogginger et al. 2015 | Vogginger, B., Schüffny, R., Lansner, A., Cederström, L., Partzsch, J. and Höppner, S. | Reducing the computational footprint for real-time BCPNN learning | Front. Neurosci. (2015) 9:2 doi:10.3389/fnins.2015.00002 |
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Lansner and Diesmann 2012 | Lansner, A. and Diesmann, M. | Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on Supercomputers | Computational Systems Neurobiology, Editors N. Le Novère, ISBN: 978-94-007-3857-7 (Print) 978-94-007-3858-4 (Online) (2012): 283-315 | abstract |
Benjaminsson et al. 2011 | Benjaminsson, S., Silverstein, D., Herman, P., Melis, P., Slavnic, V., Spasojevic, M., Alexiev, K. and Lansner, A. | Visualization of output from Large-Scale Brain Simulations | Partnership for Advanced Computing in Europe (PRACE), Project ID: PRPC06 | fulltext |
Rehn, E., Benjaminsson, S. and Lansner, A. | Event-based Sensor Interface for Supercomputer scale Neural Networks | KTH technical report TRITA-CSC-CB, ISSN 1653-5707; 2012:02 | abstract, fulltext |