Anders Lansner
Affiliations: | CB | KTH Royal Institute of Technology, Stockholm, Stockholms län, Sweden |
Area:
computational neuroscience, brain-like computingWebsite:
http://www.nada.kth.se/~ala/Google:
"Anders Lansner"Mean distance: 14.88 (cluster 17) | S | N | B | C | P |
Children
Sign in to add traineeBenjamin Auffarth | grad student | KTH Royal Institute of Technology | |
Simon Benjaminsson | grad student | KTH Royal Institute of Technology | |
Fredrik Edin | grad student | KTH Royal Institute of Technology | |
Örjan Ekeberg | grad student | KTH Royal Institute of Technology | |
Florian Fiebig | grad student | KTH Royal Institute of Technology | |
Jeanette Hellgren Kotaleski | grad student | Royal Institute of Technology | |
Christopher Johansson | grad student | KTH Royal Institute of Technology | |
Roland Orre | grad student | KTH Royal Institute of Technology | |
Martin Rehn | grad student | KTH Royal Institute of Technology | |
Anders Sandberg | grad student | KTH Royal Institute of Technology | |
Malin Sandström | grad student | KTH Royal Institute of Technology | |
Johannes Hjorth | grad student | 2003-2009 | Royal Institute of Technology |
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Publications
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Fiebig F, Herman P, Lansner A. (2020) An Indexing Theory for Working Memory based on Fast Hebbian Plasticity. Eneuro |
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 |
Iatropoulos G, Herman P, Lansner A, et al. (2018) The language of smell: Connecting linguistic and psychophysical properties of odor descriptors. Cognition. 178: 37-49 |
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 |
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 |