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Anders Lansner: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Anders Lansner, Erik Fransén
    Attractor Network Models of Cortical Associative Memory. [Citation Graph (0, 0)][DBLP]
    BCEC, 1997, pp:238-250 [Conf]
  2. Christopher Johansson, Anders Lansner
    Towards Cortex Sized Attractor ANN. [Citation Graph (0, 0)][DBLP]
    BioADIT, 2004, pp:63-79 [Conf]
  3. Christopher Johansson, Anders Lansner
    Attractor Memory with Self-organizing Input. [Citation Graph (0, 0)][DBLP]
    BioADIT, 2006, pp:265-280 [Conf]
  4. Christopher Johansson, Martin Rehn, Anders Lansner
    Attractor neural networks with patchy connectivity. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:429-434 [Conf]
  5. Rebecca Steinert, Martin Rehn, Anders Lansner
    Recognition of handwritten digits using sparse codes generated by local feature extraction methods. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:161-166 [Conf]
  6. Baran Çürüklü, Anders Lansner
    Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F Neurons. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:1095-1102 [Conf]
  7. Christopher Johansson, Anders Sandberg, Anders Lansner
    Attractor Neural Networks with Hypercolumns. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:192-197 [Conf]
  8. Christopher Johansson, Anders Lansner
    Towards Cortex Sized Artificial Nervous Systems. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:959-966 [Conf]
  9. Anders Holst, Anders Lansner
    A Flexible And Fault Tolerant Query-Reply System Based On A Bayesian Neural Network. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1993, v:4, n:3, pp:257-267 [Journal]
  10. Anders Lansner, Örjan Ekeberg
    A One-Layer Feedback Artificial Neural Network with a Bayesian Learning Rule. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1989, v:1, n:1, pp:77-87 [Journal]
  11. Christopher Johansson, Örjan Ekeberg, Anders Lansner
    Clustering of Stored Memories in an Attractor Network with Local Competition. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2006, v:16, n:6, pp:393-404 [Journal]
  12. Baran Çürüklü, Anders Lansner
    A model of the summation pools within the layer 4 (area 17). [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:167-172 [Journal]
  13. Mikael Djurfeldt, Anders Sandberg, Örjan Ekeberg, Anders Lansner
    See - A framework for simulation of biologically detailed and artificial neural networks and systems. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:997-1003 [Journal]
  14. David Eriksson, Erik Fransén, Yuri Zilberter, Anders Lansner
    Effects of short-term synaptic plasticity in a local microcircuit on cell firing. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:7-12 [Journal]
  15. Mikael Huss, Dietmar Hess, Boris Lamotte d'Incamps, Abdeljabbar El Manira, Anders Lansner, Jeanette Hellgren Kotaleski
    Role of A-current in lamprey locomotor network neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:295-300 [Journal]
  16. Christopher Johansson, Martin Rehn, Anders Lansner
    Attractor neural networks with patchy connectivity. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:627-633 [Journal]
  17. Jeanette Hellgren Kotaleski, Jesper Tegnér, Sten Grillner, Anders Lansner
    Control of burst proportion and frequency range by drive-dependent modulation of adaptation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:185-191 [Journal]
  18. Alexander K. Kozlov, Jeanette Hellgren Kotaleski, Erik Aurell, Sten Grillner, Anders Lansner
    Modeling of plasticity of the synaptic connections in the lamprey spinal CPG - consequences for network behavior. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:441-446 [Journal]
  19. Alexander K. Kozlov, Anders Lansner, Sten Grillner
    Burst dynamics under mixed NMDA and AMPA drive in the models of the lamprey spinal CPG. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:65-71 [Journal]
  20. Martin Rehn, Anders Lansner
    Sequence memory with dynamical synapses. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:58, n:, pp:271-278 [Journal]
  21. Anders Sandberg, Anders Lansner
    Synaptic depression as an intrinsic driver of reinstatement dynamics in an attractor network. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:615-622 [Journal]
  22. Anders Sandberg, Anders Lansner, Karl Magnus Petersson
    Selective enhancement of recall through plasticity modulation in an autoassociative memory. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:867-873 [Journal]
  23. Anders Sandberg, Anders Lansner, Karl Magnus Petersson, Örjan Ekeberg
    A palimpsest memory based on an incremental Bayesian learning rule. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:987-994 [Journal]
  24. Niclas Wahlgren, Anders Lansner
    Biological evaluation of a Hebbian-Bayesian learning rule. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:433-438 [Journal]
  25. Malin Sandström, Johannes Hjorth, Anders Lansner, Jeanette Hellgren Kotaleski
    The impact of the distribution of isoforms on CaMKII activation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:10-12, pp:1010-1013 [Journal]
  26. Mikael Lundqvist, Martin Rehn, Anders Lansner
    Attractor dynamics in a modular network model of the cerebral cortex. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:10-12, pp:1155-1159 [Journal]
  27. Alexander K. Kozlov, Jeanette Hellgren Kotaleski, Erik Aurell, Sten Grillner, Anders Lansner
    Modeling of Substance P and 5-HT Induced Synaptic Plasticity in the Lamprey Spinal CPG: Consequences for Network Pattern Generation. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Neuroscience, 2001, v:11, n:2, pp:183-200 [Journal]
  28. Jesper Tegnér, Anders Lansner, Sten Grillner
    Modulation of Burst Frequency by Calcium-Dependent Potassium Channels in the Lamprey Locomotor System: Dependence of the Activity Level. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Neuroscience, 1998, v:5, n:2, pp:121-140 [Journal]
  29. Christopher Johansson, Anders Lansner
    Towards cortex sized artificial neural systems. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:1, pp:48-61 [Journal]
  30. Alexander K. Kozlov, Anders Lansner, Sten Grillner, Jeanette Hellgren Kotaleski
    A hemicord locomotor network of excitatory interneurons: a simulation study. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2007, v:96, n:2, pp:229-243 [Journal]
  31. Alexander K. Kozlov, Fredrik Ullén, Patriq Fagerstedt, Erik Aurell, Anders Lansner, Sten Grillner
    Mechanisms for lateral turns in lamprey in response to descending unilateral commands: a modeling study. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2002, v:86, n:1, pp:1-14 [Journal]
  32. Malin Sandström, Jeanette Hellgren Kotaleski, Anders Lansner
    Scaling effects in a model of the olfactory bulb. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:10-12, pp:1802-1807 [Journal]

  33. Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey. [Citation Graph (, )][DBLP]


  34. Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey. [Citation Graph (, )][DBLP]


  35. Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator. [Citation Graph (, )][DBLP]


  36. Intersegmental coordination in the lamprey: simulations using a network model without segmental boundaries. [Citation Graph (, )][DBLP]


  37. Computer simulation of the segmental neural network generating locomotion in lamprey by using populations of network interneurons. [Citation Graph (, )][DBLP]


  38. A computer based model for realistic simulations of neural networks. [Citation Graph (, )][DBLP]


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