Anders Lansner

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 34

Top Topics

Synaptic Plasticity

Biologically Plausible

Top Venues

Publications

Anders Lansner, Naresh Balaji Ravichandran, Pawel Andrzej Herman
Benchmarking Hebbian learning rules for associative memory. CoRR (2024)
Deyu Wang, Yuning Wang, Yu Yang, Dimitrios Stathis, Ahmed Hemani, Anders Lansner, Jiawei Xu, Li-Rong Zheng, Zhuo Zou
FPGA-Based HPC for Associative Memory System. ASPDAC (2024)
Jiawei Xu, Yi Zheng, Feng Li, Dimitrios Stathis, Ruisi Shen, Haoming Chu, Anders Lansner, Lirong Zheng, Zhuo Zou, Ahmed Hemani
Modeling Cycle-to-Cycle Variation in Memristors for In-Situ Unsupervised Trace-STDP Learning. IEEE Trans. Circuits Syst. II Express Briefs 71 (2) (2024)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks. CoRR (2024)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Spiking representation learning for associative memories. CoRR (2024)
Deyu Wang, Jiawei Xu, Feng Li, Lianhao Zhang, Chengwei Cao, Dimitrios Stathis, Anders Lansner, Ahmed Hemani, Lirong Zheng, Zhuo Zou
A Memristor-Based Learning Engine for Synaptic Trace-Based Online Learning. IEEE Trans. Biomed. Circuits Syst. 17 (5) (2023)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Spiking neural networks with Hebbian plasticity for unsupervised representation learning. CoRR (2023)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Spiking neural networks with Hebbian plasticity for unsupervised representation learning. ESANN (2023)
Anders Lansner, Florian Fiebig, Pawel Andrzej Herman
Hebbian fast plasticity and working memory. CoRR (2023)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition. CoRR (2022)
Patrícia Pereira, Anders Lansner, Pawel Andrzej Herman
Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve. IJCNN (2022)
Deyu Wang, Jiawei Xu, Feng Li, Lianhao Zhang, Yuning Wang, Anders Lansner, Ahmed Hemani, Lirong Zheng, Zhuo Zou
Memristor-Based In-Circuit Computation for Trace-Based STDP. AICAS (2022)
Anders Lansner
CORtEX 2022 Invited Speaker 2: Brain-like machine learning using BCPNN. IPDPS Workshops (2022)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition. LOD (2) (2022)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study. ICANN (5) (2021)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Semi-supervised learning with Bayesian Confidence Propagation Neural Network. CoRR (2021)
Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. HEART (2021)
Dimitrios Stathis, Yu Yang, Ahmed Hemani, Anders Lansner
Approximate computation of post-synaptic spikes reduces bandwidth to synaptic storage in a model of cortex. DATE (2021)
Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. CoRR (2021)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Semi-supervised learning with Bayesian Confidence Propagation Neural Network. ESANN (2021)
Jiawei Xu, Deyu Wang, Feng Li, Lianhao Zhang, Dimitrios Stathis, Yu Yang, Yi Jin, Anders Lansner, Ahmed Hemani, Zhuo Zou, Li-Rong Zheng
A Memristor Model with Concise Window Function for Spiking Brain-Inspired Computation. AICAS (2021)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Learning representations in Bayesian Confidence Propagation neural networks. CoRR (2020)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Brain-like approaches to unsupervised learning of hidden representations - a comparative study. CoRR (2020)
Dimitrios Stathis, Chirag Sudarshan, Yu Yang, Matthias Jung, Christian Weis, Ahmed Hemani, Anders Lansner, Norbert Wehn
eBrainII: a 3 kW Realtime Custom 3D DRAM Integrated ASIC Implementation of a Biologically Plausible Model of a Human Scale Cortex. J. Signal Process. Syst. 92 (11) (2020)
Gianluca Villani, Matin Jafarian, Anders Lansner, Karl Henrik Johansson
Analysis of free recall dynamics of an abstract working memory model. ACC (2020)
Lizheng Liu, Deyu Wang, Yuning Wang, Anders Lansner, Ahmed Hemani, Yu Yang, Xiaoming Hu, Zhuo Zou, Lirong Zheng
A FPGA-based Hardware Accelerator for Bayesian Confidence Propagation Neural Network. NorCAS (2020)
Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
Learning representations in Bayesian Confidence Propagation neural networks. IJCNN (2020)
Gianluca Villani, Matin Jafarian, Anders Lansner, Karl Henrik Johansson
Analysis of free recall dynamics of an abstract working memory model. CoRR (2019)
Dimitrios Stathis, Chirag Sudarshan, Yu Yang, Matthias Jung, Syed Mohammad Asad Hassan Jafri, Christian Weis, Ahmed Hemani, Anders Lansner, Norbert Wehn
eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex. CoRR (2019)
Ramon H. Martinez, Oskar Kviman, Anders Lansner, Pawel Andrzej Herman
Sequence Disambiguation with Synaptic Traces in Associative Neural Networks. ICANN (1) (2019)
Nikolaos Chrysanthidis, Florian Fiebig, Anders Lansner
Introducing double bouquet cells into a modular cortical associative memory model. J. Comput. Neurosci. 47 (2-3) (2019)
Naresh Balaji Ravichandran, Fangkai Yang, Christopher E. Peters, Anders Lansner, Pawel Andrzej Herman
Pedestrian simulation as multi-objective reinforcement learning. IVA (2018)
Pawel Andrzej Herman, Simon Benjaminsson, Anders Lansner
Odor recognition in an attractor network model of the mammalian olfactory cortex. IJCNN (2017)
Philip J. Tully, Henrik Lindén, Matthias H. Hennig, Anders Lansner
Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. PLoS Comput. Biol. 12 (5) (2016)
Alberto Mazzoni, Henrik Lindén, Hermann Cuntz, Anders Lansner, Stefano Panzeri, Gaute T. Einevoll
Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models. PLoS Comput. Biol. 11 (12) (2015)
Mihai A. Petrovici, Bernhard Vogginger, Paul Müller, Oliver Breitwieser, Mikael Lundqvist, Lyle Muller, Matthias Ehrlich, Alain Destexhe, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier
Bridging the gap between software simulation and emulation on neuromorphic hardware: An investigation of causes, effects and compensation of network-level anomalies in a mixed-signal waferscale neuromorphic modeling platform. CoRR (2014)
Anders Lansner, Ahmed Hemani, Nasim Farahini
Spiking brain models: Computation, memory and communication constraints for custom hardware implementation. ASP-DAC (2014)
Bernhard A. Kaplan, Mina A. Khoei, Anders Lansner, Laurent U. Perrinet
Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network. IJCNN (2014)
Nasim Farahini, Ahmed Hemani, Anders Lansner, Fabien Clermidy, Christer Svensson
A scalable custom simulation machine for the Bayesian Confidence Propagation Neural Network model of the brain. ASP-DAC (2014)
Florian Fiebig, Anders Lansner
Memory consolidation from seconds to weeks: a three-stage neural network model with autonomous reinstatement dynamics. Frontiers Comput. Neurosci. 8 (2014)
Bernhard A. Kaplan, Anders Lansner, Guillaume S. Masson, Laurent U. Perrinet
Anisotropic connectivity implements motion-based prediction in a spiking neural network. Frontiers Comput. Neurosci. 7 (2013)
Mikael Lundqvist, Pawel Andrzej Herman, J. Matias Palva, Satu Palva, David Silverstein, Anders Lansner
Stimulus detection rate and latency, firing rates and 1-40 Hz oscillatory power are modulated by infra-slow fluctuations in a bistable attractor network model. NeuroImage 83 (2013)
David Silverstein, Anders Lansner
Is Attentional Blink a Byproduct of Neocortical Attractors? Frontiers Comput. Neurosci. 5 (2011)
Daniel Brüderle, Mihai A. Petrovici, Bernhard Vogginger, Matthias Ehrlich, Thomas Pfeil, Sebastian Millner, Andreas Grübl, Karsten Wendt, Eric Müller, Marc-Olivier Schwartz, Dan Husmann de Oliveira, Sebastian Jeltsch, Johannes Fieres, Moritz Schilling, Paul Müller, Oliver Breitwieser, Venelin Petkov, Lyle Muller, Andrew P. Davison, Pradeep Krishnamurthy, Jens Kremkow, Mikael Lundqvist, Eilif Mueller, Johannes Partzsch, Stefan Scholze, Lukas Zühl, Christian Mayr, Alain Destexhe, Markus Diesmann, Tobias C. Potjans, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biol. Cybern. 104 (4-5) (2011)
Mikael Lundqvist, Pawel Andrzej Herman, Anders Lansner
Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model. J. Cogn. Neurosci. 23 (10) (2011)
Jordi Fonollosa, Agustin Gutierrez-Galvez, Anders Lansner, Dominique Martinez, Jean-Pierre Rospars, Romeo Beccherelli, Alexandre Perera, T. Pearce, P. Vershure, Krishna C. Persaud, Santiago Marco
Biologically Inspired Computation for Chemical Sensing. FET (2011)
Mikael Lundqvist, Albert Compte, Anders Lansner
Bistable, Irregular Firing and Population Oscillations in a Modular Attractor Memory Network. PLoS Comput. Biol. 6 (6) (2010)
Christopher Johansson, Anders Lansner
Implementing plastic weights in neural networks using low precision arithmetic. Neurocomputing 72 (4-6) (2009)
Malin Sandström, Anders Lansner, Jeanette Hellgren Kotaleski, Jean-Pierre Rospars
Modeling the response of a population of olfactory receptor neurons to an odorant. J. Comput. Neurosci. 27 (3) (2009)
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 J. Res. Dev. 52 (1-2) (2008)
Mikael Djurfeldt, Örjan Ekeberg, Anders Lansner
Large-scale modeling - a tool for conquering the complexity of the brain. Frontiers Neuroinformatics 2 (2008)
Malin Sandström, Jeanette Hellgren Kotaleski, Anders Lansner
Scaling effects in a model of the olfactory bulb. Neurocomputing 70 (10-12) (2007)
Christopher Johansson, Anders Lansner
Towards cortex sized artificial neural systems. Neural Networks 20 (1) (2007)
Romain Brette, Michelle Rudolph, Ted Carnevale, Michael L. Hines, David Beeman, James M. Bower, Markus Diesmann, Abigail Morrison, Philip H. Goodman, Frederick C. Harris Jr., 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. J. Comput. Neurosci. 23 (3) (2007)
Alexander K. Kozlov, Anders Lansner, Sten Grillner, Jeanette Hellgren Kotaleski
A hemicord locomotor network of excitatory interneurons: a simulation study. Biol. Cybern. 96 (2) (2007)
Christopher Johansson, Anders Lansner
Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model. Neural Comput. 19 (7) (2007)
Christopher Johansson, Anders Lansner
Attractor Memory with Self-organizing Input. BioADIT (2006)
Christopher Johansson, Örjan Ekeberg, Anders Lansner
Clustering of Stored Memories in an Attractor Network with Local Competition. Int. J. Neural Syst. 16 (6) (2006)
Mikael Lundqvist, Martin Rehn, Anders Lansner
Attractor dynamics in a modular network model of the cerebral cortex. Neurocomputing 69 (10-12) (2006)
Malin Sandström, Johannes Hjorth, Anders Lansner, Jeanette Hellgren Kotaleski
The impact of the distribution of isoforms on CaMKII activation. Neurocomputing 69 (10-12) (2006)
Rebecca Steinert, Martin Rehn, Anders Lansner
Recognition of handwritten digits using sparse codes generated by local feature extraction methods. ESANN (2006)
Christopher Johansson, Martin Rehn, Anders Lansner
Attractor neural networks with patchy connectivity. Neurocomputing 69 (7-9) (2006)
Baran Çürüklü, Anders Lansner
A model of the summation pools within the layer 4 (area 17). Neurocomputing (2005)
Christopher Johansson, Martin Rehn, Anders Lansner
Attractor neural networks with patchy connectivity. ESANN (2005)
Martin Rehn, Anders Lansner
Sequence memory with dynamical synapses. Neurocomputing (2004)
Christopher Johansson, Anders Lansner
Towards Cortex Sized Attractor ANN. BioADIT (2004)
Christopher Johansson, Anders Lansner
Towards Cortex Sized Artificial Nervous Systems. KES (2004)
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 (2003)
David Eriksson, Erik Fransén, Yuri Zilberter, Anders Lansner
Effects of short-term synaptic plasticity in a local microcircuit on cell firing. Neurocomputing (2003)
Alexander K. Kozlov, Anders Lansner, Sten Grillner
Burst dynamics under mixed NMDA and AMPA drive in the models of the lamprey spinal CPG. Neurocomputing (2003)
Anders Lansner, Erik Fransén, Anders Sandberg
Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory. Theory Biosci. 122 (1) (2003)
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. Biol. Cybern. 86 (1) (2002)
Christopher Johansson, Anders Sandberg, Anders Lansner
Attractor Neural Networks with Hypercolumns. ICANN (2002)
Anders Sandberg, Anders Lansner
Synaptic depression as an intrinsic driver of reinstatement dynamics in an attractor network. Neurocomputing (2002)
Anders Sandberg, Anders Lansner, Karl Magnus Petersson
Selective enhancement of recall through plasticity modulation in an autoassociative memory. Neurocomputing (2001)
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. J. Comput. Neurosci. 11 (2) (2001)
Baran Çürüklü, Anders Lansner
Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F Neurons. ICANN (2001)
Niclas Wahlgren, Anders Lansner
Biological evaluation of a Hebbian-Bayesian learning rule. Neurocomputing (2001)
Anders Sandberg, Anders Lansner, Karl Magnus Petersson, Örjan Ekeberg
A palimpsest memory based on an incremental Bayesian learning rule. Neurocomputing (2000)
Anders Lansner, Anders Sandberg, Karl Magnus Petersson, Martin Ingvar
On Forgetful Attractor Network Memories. ANNIMAB (2000)
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 (2000)
Mikael Djurfeldt, Anders Sandberg, Örjan Ekeberg, Anders Lansner
See - A framework for simulation of biologically detailed and artificial neural networks and systems. Neurocomputing (1999)
Jeanette Hellgren Kotaleski, Anders Lansner, Sten Grillner
Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey. Biol. Cybern. 81 (4) (1999)
Jeanette Hellgren Kotaleski, Jesper Tegnér, Sten Grillner, Anders Lansner
Control of burst proportion and frequency range by drive-dependent modulation of adaptation. Neurocomputing (1999)
Jeanette Hellgren Kotaleski, Sten Grillner, Anders Lansner
Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey. Biol. Cybern. 81 (4) (1999)
Guang Li, Anders Lansner, Bertil Svensson
Self-Orienting with On-Line Learning of Environmental Features. Adapt. Behav. 6 (3-4) (1998)
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. J. Comput. Neurosci. 5 (2) (1998)
M. Ullström, Jeanette Hellgren Kotaleski, Jesper Tegnér, Erik Aurell, Sten Grillner, Anders Lansner
Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator. Biol. Cybern. 79 (1) (1998)
Anders Lansner, Erik Fransén
Attractor Network Models of Cortical Associative Memory. BCEC (1997)
Tom Wadden, Jeanette Hellgren, Anders Lansner, Sten Grillner
Intersegmental coordination in the lamprey: simulations using a network model without segmental boundaries. Biol. Cybern. 76 (1) (1997)
Anders Lansner, Anders Holst
A Higher order Bayesian Neural Network with Spiking Units. Int. J. Neural Syst. 7 (2) (1996)
Örjan Ekeberg, Sten Grillner, Anders Lansner
The Neural Control of Fish Swimming Studied Through Numerical Simulations. Adapt. Behav. 3 (4) (1995)
Anders Holst, Anders Lansner
A Flexible And Fault Tolerant Query-Reply System Based On A Bayesian Neural Network. Int. J. Neural Syst. 4 (3) (1993)
Jeanette Hellgren, Sten Grillner, Anders Lansner
Computer simulation of the segmental neural network generating locomotion in lamprey by using populations of network interneurons. Biol. Cybern. 68 (1) (1992)
Örjan Ekeberg, Peter Wallén, Anders Lansner, Hans G. C. Tråvén, L. Brodin, Sten Grillner
A computer based model for realistic simulations of neural networks. Biol. Cybern. 65 (2) (1991)
Anders Lansner, Örjan Ekeberg
A One-Layer Feedback Artificial Neural Network with a Bayesian Learning Rule. Int. J. Neural Syst. 1 (1) (1989)
Anders Lansner, Örjan Ekeberg
Reliability and Speed of Recall in an Associative Network. IEEE Trans. Pattern Anal. Mach. Intell. 7 (4) (1985)