Anders Lansner

CB KTH, Stockholm, Stockholms län, Sweden 
computational neuroscience, brain-like computing
"Anders Lansner"
Mean distance: 14.88 (cluster 17)
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

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
See more...