Publications of Lansner, A

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21 publication entries, 8 of them (printed in bold in the list) acknowledge the project support.
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Book chapter
Conference contribution: poster
Web publication
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Paper (reviewed)

Auffarth et al. 2011Auffarth, B., Kaplan, B. and Lansner, A.Map formation in the olfactory bulb by axon guidance of olfactory neuronsFront Syst Neurosci (2011) 5:84
doi:10.3389/fnsys.2011.00084
fulltext
Benjaminsson and Lansner 2012Benjaminsson, S. and Lansner, A.Nexa: A scalable neural simulator with integrated analysisNetwork: Computation in Neural Systems (2012) 23: 254-271
doi:10.3109/0954898X.2012.737087
abstract, fulltext
Berthet and Lansner 2014Berthet, P. and Lansner, A.Optogenetic Stimulation in a Computational Model of the Basal Ganglia Biases Action Selection and Reward Prediction ErrorPLoS ONE (2014) 9(3): e90578
doi:10.1371/journal.pone.0090578
fulltext
Berthet et al. 2012Berthet, P., Hellgren-Kotaleski, J. and Lansner, A.Action selection performance of a reconfigurable Basal Ganglia model with a Hebbian-Bayesian Go-NoGo connectivityFront. Behav. Neurosci. (2012) 6:65
doi:10.3389/fnbeh.2012.00065
fulltext
Brüderle et al. 2011Brüderle, 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 systemsBiological Cybernetics (2011) 104(4-5): 263-296
doi:10.1007/s00422-011-0435-9
abstract, fulltext
Kaplan and Lansner 2014Kaplan, B.A. and Lansner, A.A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory systemFront. Neural Circuits (2014) 8:5
doi:10.3389/fncir.2014.00005
abstract
Kaplan et al. 2013Kaplan, 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
Kaplan Khoei et al 2014Kaplan, 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 networkInternational Joint Conference on Neural Networks (IJCNN) (2014) : 3205-3212

doi:10.1109/IJCNN.2014.6889847
abstract
Krishnamurthy et al. 2012Krishnamurthy, P., Silberberg, G. and Lansner, A.A cortical attractor network with Martinotti cells driven by facilitating synapsesPLoS ONE (2012) 7(4): e30752
doi:10.1371/journal.pone.0030752
fulltext
Lundqvist et al. 2011aLundqvist, M., Herman, P. and Lansner, A.Theta and gamma power increases and alpha/beta power decreases with memory load in an attractor network modelJ Cogn Neurosci (2011) 23:3008-3020
doi:10.1162/jocn_a_00029
abstract
Lundqvist et al. 2012Lundqvist, M., Herman, P. and Lansner, A.Variability of spike firing during theta-coupled replay of memories in a simulated attractor networkBrain Res (2012) 1434:152-161
doi:10.1016/j.brainres.2011.07.055
fulltext
Meli and Lansner 2013Meli, C. and Lansner, A.A modular attractor associative memory with patchy connectivity and weight pruningNetwork: Computation in Neural Systems (2013) 24(4):129-150
doi:10.3109/0954898X.2013.859323
abstract, fulltext
Petrovici et al. 2014Petrovici, 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 PlatformsPLoS ONE (2014) 9(10): e108590
doi:10.1371/journal.pone.0108590
abstract
Schain et al. 2013Schain, 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 voxelsJ Cereb Blood Flow Metab (2013) 33:1058-1065
doi:10.1038/jcbfm.2013.47
(fulltext)
Silverstein and Lansner 2011Silverstein, 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
abstract, fulltext
Tully et al. 2014Tully, P. J., Hennig, M. H. and Lansner, A.Synaptic and Nonsynaptic Plasticity Approximating Probabilistic InferenceFront. Synaptic Neurosci. (2014) 6:8
doi:10.3389/fnsyn.2014.00008
fulltext
Vogginger et al. 2015Vogginger, B., Schüffny, R., Lansner, A., Cederström, L., Partzsch, J. and Höppner, S.Reducing the computational footprint for real-time BCPNN learningFront. Neurosci. (2015) 9:2
doi:10.3389/fnins.2015.00002
abstract, fulltext

Book chapter

Lansner and Diesmann 2012Lansner, A. and Diesmann, M. Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on SupercomputersComputational Systems Neurobiology, Editors N. Le Novère, ISBN: 978-94-007-3857-7 (Print) 978-94-007-3858-4 (Online) (2012): 283-315 abstract

Conference contribution: poster

Benjaminsson and Lansner 2011Benjaminsson, S. and Lansner, A.Extreme Scaling of Brain SimulationsJülich Blue Gene/P Extreme Scaling Workshop 2011, Technical Report FZJ-JSC-IB-2011-02 available from http://www2.fz-juelich.de/jsc/docs/autoren2011/mohr1/

Web publication

Benjaminsson et al. 2011Benjaminsson, S., Silverstein, D., Herman, P., Melis, P., Slavnic, V., Spasojevic, M., Alexiev, K. and Lansner, A.Visualization of output from Large-Scale Brain SimulationsPartnership for Advanced Computing in Europe (PRACE), Project ID: PRPC06 fulltext

Other

Rehn, E., Benjaminsson, S. and Lansner, A. Event-based Sensor Interface for Supercomputer scale Neural NetworksKTH technical report TRITA-CSC-CB, ISSN 1653-5707; 2012:02 abstract, fulltext


 
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26 August 2016