2009 |
36 | EE | Christopher Johansson,
Anders Lansner:
Implementing plastic weights in neural networks using low precision arithmetic.
Neurocomputing 72(4-6): 968-972 (2009) |
2008 |
35 | EE | Mikael Djurfeldt,
Mikael Lundqvist,
Christopher Johansson,
Martin Rehn,
Örjan Ekeberg,
Anders Lansner:
Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer.
IBM Journal of Research and Development 52(1-2): 31-42 (2008) |
2007 |
34 | 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) |
33 | EE | Romain Brette,
Michelle Rudolph,
Ted Carnevale,
Michael Hines,
David Beeman,
James M. Bower,
Markus Diesmann,
Abigail Morrison,
Philip H. Goodman,
Frederick C. Harris,
Milind Zirpe,
Thomas Natschläger,
Dejan Pecevski,
Bard Ermentrout,
Mikael Djurfeldt,
Anders Lansner,
Olivier Rochel,
Thierry Viéville,
Eilif Mueller,
Andrew P. Davison,
Sami El Boustani,
Alain Destexhe:
Simulation of networks of spiking neurons: A review of tools and strategies.
Journal of Computational Neuroscience 23(3): 349-398 (2007) |
32 | EE | Christopher Johansson,
Anders Lansner:
Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model.
Neural Computation 19(7): 1871-1896 (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) |