| 2007 |
| 32 | EE | Alexander K. Kozlov,
Anders Lansner,
Sten Grillner,
Jeanette Hellgren Kotaleski:
A hemicord locomotor network of excitatory interneurons: a simulation study.
Biological Cybernetics 96(2): 229-243 (2007) |
| 31 | EE | Christopher Johansson,
Anders Lansner:
Towards cortex sized artificial neural systems.
Neural Networks 20(1): 48-61 (2007) |
| 30 | EE | Malin Sandström,
Jeanette Hellgren Kotaleski,
Anders Lansner:
Scaling effects in a model of the olfactory bulb.
Neurocomputing 70(10-12): 1802-1807 (2007) |
| 2006 |
| 29 | EE | Christopher Johansson,
Anders Lansner:
Attractor Memory with Self-organizing Input.
BioADIT 2006: 265-280 |
| 28 | EE | Rebecca Steinert,
Martin Rehn,
Anders Lansner:
Recognition of handwritten digits using sparse codes generated by local feature extraction methods.
ESANN 2006: 161-166 |
| 27 | EE | Christopher Johansson,
Örjan Ekeberg,
Anders Lansner:
Clustering of Stored Memories in an Attractor Network with Local Competition.
Int. J. Neural Syst. 16(6): 393-404 (2006) |
| 26 | EE | Malin Sandström,
Johannes Hjorth,
Anders Lansner,
Jeanette Hellgren Kotaleski:
The impact of the distribution of isoforms on CaMKII activation.
Neurocomputing 69(10-12): 1010-1013 (2006) |
| 25 | EE | Mikael Lundqvist,
Martin Rehn,
Anders Lansner:
Attractor dynamics in a modular network model of the cerebral cortex.
Neurocomputing 69(10-12): 1155-1159 (2006) |
| 24 | EE | Christopher Johansson,
Martin Rehn,
Anders Lansner:
Attractor neural networks with patchy connectivity.
Neurocomputing 69(7-9): 627-633 (2006) |
| 2005 |
| 23 | EE | Christopher Johansson,
Martin Rehn,
Anders Lansner:
Attractor neural networks with patchy connectivity.
ESANN 2005: 429-434 |
| 22 | EE | Baran Çürüklü,
Anders Lansner:
A model of the summation pools within the layer 4 (area 17).
Neurocomputing 65-66: 167-172 (2005) |
| 2004 |
| 21 | EE | Christopher Johansson,
Anders Lansner:
Towards Cortex Sized Attractor ANN.
BioADIT 2004: 63-79 |
| 20 | EE | Christopher Johansson,
Anders Lansner:
Towards Cortex Sized Artificial Nervous Systems.
KES 2004: 959-966 |
| 19 | EE | Martin Rehn,
Anders Lansner:
Sequence memory with dynamical synapses.
Neurocomputing 58-60: 271-278 (2004) |
| 2003 |
| 18 | EE | 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.
Neurocomputing 52-54: 295-300 (2003) |
| 17 | EE | Alexander K. Kozlov,
Anders Lansner,
Sten Grillner:
Burst dynamics under mixed NMDA and AMPA drive in the models of the lamprey spinal CPG.
Neurocomputing 52-54: 65-71 (2003) |
| 16 | EE | David Eriksson,
Erik Fransén,
Yuri Zilberter,
Anders Lansner:
Effects of short-term synaptic plasticity in a local microcircuit on cell firing.
Neurocomputing 52-54: 7-12 (2003) |
| 2002 |
| 15 | EE | Christopher Johansson,
Anders Sandberg,
Anders Lansner:
Attractor Neural Networks with Hypercolumns.
ICANN 2002: 192-197 |
| 14 | EE | 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.
Biological Cybernetics 86(1): 1-14 (2002) |
| 13 | EE | Anders Sandberg,
Anders Lansner:
Synaptic depression as an intrinsic driver of reinstatement dynamics in an attractor network.
Neurocomputing 44-46: 615-622 (2002) |
| 2001 |
| 12 | EE | Baran Çürüklü,
Anders Lansner:
Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F Neurons.
ICANN 2001: 1095-1102 |
| 11 | | 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.
Journal of Computational Neuroscience 11(2): 183-200 (2001) |
| 10 | EE | Niclas Wahlgren,
Anders Lansner:
Biological evaluation of a Hebbian-Bayesian learning rule.
Neurocomputing 38-40: 433-438 (2001) |
| 9 | EE | Anders Sandberg,
Anders Lansner,
Karl Magnus Petersson:
Selective enhancement of recall through plasticity modulation in an autoassociative memory.
Neurocomputing 38-40: 867-873 (2001) |
| 2000 |
| 8 | EE | 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.
Neurocomputing 32-33: 441-446 (2000) |
| 7 | EE | Anders Sandberg,
Anders Lansner,
Karl Magnus Petersson,
Örjan Ekeberg:
A palimpsest memory based on an incremental Bayesian learning rule.
Neurocomputing 32-33: 987-994 (2000) |
| 1999 |
| 6 | EE | Jeanette Hellgren Kotaleski,
Jesper Tegnér,
Sten Grillner,
Anders Lansner:
Control of burst proportion and frequency range by drive-dependent modulation of adaptation.
Neurocomputing 26-27: 185-191 (1999) |
| 5 | EE | Mikael Djurfeldt,
Anders Sandberg,
Örjan Ekeberg,
Anders Lansner:
See - A framework for simulation of biologically detailed and artificial neural networks and systems.
Neurocomputing 26-27: 997-1003 (1999) |
| 1998 |
| 4 | | 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.
Journal of Computational Neuroscience 5(2): 121-140 (1998) |
| 1997 |
| 3 | | Anders Lansner,
Erik Fransén:
Attractor Network Models of Cortical Associative Memory.
BCEC 1997: 238-250 |
| 1993 |
| 2 | EE | Anders Holst,
Anders Lansner:
A Flexible And Fault Tolerant Query-Reply System Based On A Bayesian Neural Network.
Int. J. Neural Syst. 4(3): 257-267 (1993) |
| 1989 |
| 1 | EE | Anders Lansner,
Örjan Ekeberg:
A One-Layer Feedback Artificial Neural Network with a Bayesian Learning Rule.
Int. J. Neural Syst. 1(1): 77-87 (1989) |