A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation von Fiebig, Florian, Lansner, Anders

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Associative memory models: from the cell-assembly theory to biophysically detailed cortex simulations von Lansner, Anders

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Neurocognitive Architecture of Working Memory von Eriksson, Johan, Vogel, Edward K., Lansner, Anders, Bergström, Fredrik, Nyberg, Lars

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Spiking representation learning for associative memories von Ravichandran, Naresh, Lansner, Anders, Herman, Pawel

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Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models von Mazzoni, Alberto, Lindén, Henrik, Cuntz, Hermann, Lansner, Anders, Panzeri, Stefano, Einevoll, Gaute T

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The language of smell: Connecting linguistic and psychophysical properties of odor descriptors von Iatropoulos, Georgios, Herman, Pawel, Lansner, Anders, Karlgren, Jussi, Larsson, Maria, Olofsson, Jonas K.

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Bistable, irregular firing and population oscillations in a modular attractor memory network von Lundqvist, Mikael, Compte, Albert, Lansner, Anders

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Towards cortex sized artificial neural systems von Johansson, Christopher, Lansner, Anders

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An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity von Fiebig, Florian, Herman, Pawel, Lansner, Anders

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Probabilistic associative learning suffices for learning the temporal structure of multiple sequences von Martinez, Ramon H, Lansner, Anders, Herman, Pawel

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Spike-Based Bayesian-Hebbian Learning of Temporal Sequences von Tully, Philip J, Lindén, Henrik, Hennig, Matthias H, Lansner, Anders

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Perceptual and memory functions in a cortex-inspired attractor network model von Lansner, Anders

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Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms von Petrovici, Mihai A, Vogginger, Bernhard, Müller, Paul, Breitwieser, Oliver, Lundqvist, Mikael, Muller, Lyle, Ehrlich, Matthias, Destexhe, Alain, Lansner, Anders, Schüffny, René, Schemmel, Johannes, Meier, Karlheinz

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Optimizing BCPNN Learning Rule for Memory Access von Yang, Yu, Stathis, Dimitrios, Jordao, Rodolfo, Hemani, Ahmed, Lansner, Anders

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Mapping the BCPNN Learning Rule to a Memristor Model von Wang, Deyu, Xu, Jiawei, Stathis, Dimitrios, Zhang, Lianhao, Li, Feng, Lansner, Anders, Hemani, Ahmed, Yang, Yu, Herman, Pawel, Zou, Zhuo

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eBrainII: a 3 kW Realtime Custom 3D DRAM Integrated ASIC Implementation of a Biologically Plausible Model of a Human Scale Cortex von Stathis, Dimitrios, Sudarshan, Chirag, Yang, Yu, Jung, Matthias, Weis, Christian, Hemani, Ahmed, Lansner, Anders, Wehn, Norbert

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Simple cellular and network control principles govern complex patterns of motor behavior von Kozlov, Alexander, Huss, Mikael, Lansner, Anders, Kotaleski, Jeanette Hellgren, Grillner, Sten

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Simulation of networks of spiking neurons: a review of tools and strategies von Brette, Romain, Rudolph, Michelle, Carnevale, Ted, Hines, Michael, Beeman, David, Bower, James M, Diesmann, Markus, Morrison, Abigail, Goodman, Philip H, Harris, Jr, Frederick C, Zirpe, Milind, Natschläger, Thomas, Pecevski, Dejan, Ermentrout, Bard, Djurfeldt, Mikael, Lansner, Anders, Rochel, Olivier, Vieville, Thierry, Muller, Eilif, Davison, Andrew P, El Boustani, Sami, Destexhe, Alain

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Reactivation in working memory: an attractor network model of free recall von Lansner, Anders, Marklund, Petter, Sikström, Sverker, Nilsson, Lars-Göran

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Optogenetic stimulation in a computational model of the basal ganglia biases action selection and reward prediction error von Berthet, Pierre, Lansner, Anders

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