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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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Parents

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Sten Grillner grad student KTH

Children

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Benjamin Auffarth grad student KTH
Simon Benjaminsson grad student KTH
Fredrik Edin grad student KTH
Örjan Ekeberg grad student KTH
Florian Fiebig grad student KTH Royal Institute of Technology
Jeanette Hellgren Kotaleski grad student Royal Institute of Technology
Christopher Johansson grad student KTH
Roland Orre grad student KTH
Martin Rehn grad student KTH
Anders Sandberg grad student KTH
Malin Sandström grad student KTH
Johannes Hjorth grad student 2003-2009 Royal Institute of Technology

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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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