Martin Rehn
Affiliations: | Royal Institute of Technology, Stockholm, Stockholms län, Sweden |
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"Martin Rehn"Mean distance: 15 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Anders Lansner | grad student | KTH Royal Institute of Technology | |
| Friedrich T. Sommer | post-doc | 2006-2009 | UC Berkeley |
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Publications
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| Rehn M, Silverstein D, Olmårs J, et al. (2011) A hybrid model of the primary visual cortex Bmc Neuroscience. 12 |
| Djurfeldt M, Lundqvist M, Johansson C, et al. (2008) Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer Ibm Journal of Research and Development. 52: 31-42 |
| Rehn M, Sommer FT. (2007) A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields. Journal of Computational Neuroscience. 22: 135-46 |
| Huss M, Rehn M. (2007) Tonically driven and self-sustaining activity in the lamprey hemicord: When can they co-exist? Neurocomputing. 70: 1882-1886 |
| Johansson C, Rehn M, Lansner A. (2007) Attractor neural networks with patchy connectivity Esann 2005 Proceedings - 13th European Symposium On Artificial Neural Networks. 429-434 |
| Johansson C, Rehn M, Lansner A. (2007) Attractor neural networks with patchy connectivity Esann 2005 Proceedings - 13th European Symposium On Artificial Neural Networks. 429-434 |
| Lundqvist M, Rehn M, Djurfeldt M, et al. (2006) Attractor dynamics in a modular network model of neocortex. Network (Bristol, England). 17: 253-76 |
| Rehn M, Sommer FT. (2006) Storing and restoring visual input with collaborative rank coding and associative memory Neurocomputing. 69: 1219-1223 |
| Lundqvist M, Rehn M, Lansner A. (2006) Attractor dynamics in a modular network model of the cerebral cortex Neurocomputing. 69: 1155-1159 |
| Rehn M, Lansner A. (2004) Sequence memory with dynamical synapses Neurocomputing. 58: 271-278 |