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 trainee| Benjamin 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 |
BETA: Related publications
See more...
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. |
| Ravichandran N, Lansner A, Herman P. (2024) Spiking representation learning for associative memories. Frontiers in Neuroscience. 18: 1439414 |
| 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 |