Anders Lansner

Affiliations: 
CB KTH, Stockholm, Stockholms län, Sweden 
Area:
computational neuroscience, brain-like computing
Website:
http://www.nada.kth.se/~ala/
Google:
"Anders Lansner"
Mean distance: 14.88 (cluster 17)
 
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Publications

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Berthet P, Lindahl M, Tully PJ, et al. (2016) Functional Relevance of Different Basal Ganglia Pathways Investigated in a Spiking Model with Reward Dependent Plasticity. Frontiers in Neural Circuits. 10: 53
Mazzoni A, Lindén H, Cuntz H, et al. (2015) Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models. Plos Computational Biology. 11: e1004584
Krishnamurthy P, Silberberg G, Lansner A. (2015) Long-range recruitment of Martinotti cells causes surround suppression and promotes saliency in an attractor network model. Frontiers in Neural Circuits. 9: 60
Eriksson J, Vogel EK, Lansner A, et al. (2015) Neurocognitive Architecture of Working Memory. Neuron. 88: 33-46
Vogginger B, Schüffny R, Lansner A, et al. (2015) Reducing the computational footprint for real-time BCPNN learning. Frontiers in Neuroscience. 9: 2
Petrovici MA, Vogginger B, Müller P, et al. (2014) Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms. Plos One. 9: e108590
Fiebig F, Lansner A. (2014) Memory consolidation from seconds to weeks: a three-stage neural network model with autonomous reinstatement dynamics. Frontiers in Computational Neuroscience. 8: 64
Tully PJ, Hennig MH, Lansner A. (2014) Synaptic and nonsynaptic plasticity approximating probabilistic inference. Frontiers in Synaptic Neuroscience. 6: 8
Berthet P, Lansner A. (2014) Optogenetic stimulation in a computational model of the basal ganglia biases action selection and reward prediction error. Plos One. 9: e90578
Kaplan BA, Lansner A. (2014) A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory system. Frontiers in Neural Circuits. 8: 5
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