Anders Lansner

CB KTH Royal Institute of Technology, Stockholm, Stockholms län, Sweden 
computational neuroscience, brain-like computing
"Anders Lansner"
Mean distance: 14.88 (cluster 17)
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Lansner A, Fiebig F, Herman P. (2023) Fast Hebbian plasticity and working memory. Current Opinion in Neurobiology. 83: 102809
Chrysanthidis N, Fiebig F, Lansner A, et al. (2022) Traces of semantization - from episodic to semantic memory in a spiking cortical network model. Eneuro
Yang Y, Stathis D, Jordão R, et al. (2020) Optimizing BCPNN Learning Rule for Memory Access. Frontiers in Neuroscience. 14: 878
Fiebig F, Herman P, Lansner A. (2020) An Indexing Theory for Working Memory based on Fast Hebbian Plasticity. Eneuro
Stathis D, Sudarshan C, Yang Y, et al. (2020) eBrainII: a 3 kW Realtime Custom 3D DRAM Integrated ASIC Implementation of a Biologically Plausible Model of a Human Scale Cortex Journal of Signal Processing Systems. 1-21
Chrysanthidis N, Fiebig F, Lansner A. (2019) Introducing double bouquet cells into a modular cortical associative memory model. Journal of Computational Neuroscience
Martinez RH, Lansner A, Herman P. (2019) Probabilistic associative learning suffices for learning the temporal structure of multiple sequences. Plos One. 14: e0220161
Fiebig F, Lansner A. (2017) A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 37: 83-96
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
Tully PJ, Lindén H, Hennig MH, et al. (2016) Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. Plos Computational Biology. 12: e1004954
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