Reliability and Speed of Recall in an Associative Network. - Anders Lansner; Örjan Ekeberg (IEEE Trans. Pattern Anal. Mach. Intell., 1985)

A One-Layer Feedback Artificial Neural Network with a Bayesian Learning Rule. - Anders Lansner; Örjan Ekeberg (Int. J. Neural Syst., 1989)

A computer based model for realistic simulations of neural networks. - Örjan Ekeberg; Peter Wallén; Anders Lansner; Hans G. C. Tråvén; L. Brodin; Sten Grillner (Biol. Cybern., 1991)

Computer simulation of the segmental neural network generating locomotion in lamprey by using populations of network interneurons. - Jeanette Hellgren; Sten Grillner; Anders Lansner (Biol. Cybern., 1992)

A Flexible And Fault Tolerant Query-Reply System Based On A Bayesian Neural Network. - Anders Holst; Anders Lansner (Int. J. Neural Syst., 1993)

The Neural Control of Fish Swimming Studied Through Numerical Simulations. - Örjan Ekeberg; Sten Grillner; Anders Lansner (Adapt. Behav., 1995)

A Higher order Bayesian Neural Network with Spiking Units. - Anders Lansner; Anders Holst (Int. J. Neural Syst., 1996)

Attractor Network Models of Cortical Associative Memory. - Anders Lansner; Erik Fransén (BCEC, 1997)

Intersegmental coordination in the lamprey: simulations using a network model without segmental boundaries. - Tom Wadden; Jeanette Hellgren; Anders Lansner; Sten Grillner (Biol. Cybern., 1997)

Self-Orienting with On-Line Learning of Environmental Features. - Guang Li; Anders Lansner; Bertil Svensson (Adapt. Behav., 1998)

Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator. - M. Ullström; Jeanette Hellgren Kotaleski; Jesper Tegnér; Erik Aurell; Sten Grillner; Anders Lansner (Biol. Cybern., 1998)

Modulation of Burst Frequency by Calcium-Dependent Potassium Channels in the Lamprey Locomotor System: Dependence of the Activity Level. - Jesper Tegnér; Anders Lansner; Sten Grillner (J. Comput. Neurosci., 1998)

Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey. - Jeanette Hellgren Kotaleski; Anders Lansner; Sten Grillner (Biol. Cybern., 1999)

See - A framework for simulation of biologically detailed and artificial neural networks and systems. - Mikael Djurfeldt; Anders Sandberg; Örjan Ekeberg; Anders Lansner (Neurocomputing, 1999)

Control of burst proportion and frequency range by drive-dependent modulation of adaptation. - Jeanette Hellgren Kotaleski; Jesper Tegnér; Sten Grillner; Anders Lansner (Neurocomputing, 1999)

On Forgetful Attractor Network Memories. - Anders Lansner; Anders Sandberg; Karl Magnus Petersson; Martin Ingvar (ANNIMAB, 2000)

Modeling of plasticity of the synaptic connections in the lamprey spinal CPG - consequences for network behavior. - Alexander K. Kozlov; Jeanette Hellgren Kotaleski; Erik Aurell; Sten Grillner; Anders Lansner (Neurocomputing, 2000)

A palimpsest memory based on an incremental Bayesian learning rule. - Anders Sandberg; Anders Lansner; Karl Magnus Petersson; Örjan Ekeberg (Neurocomputing, 2000)

Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F Neurons. - Baran Çürüklü; Anders Lansner (ICANN, 2001)

Selective enhancement of recall through plasticity modulation in an autoassociative memory. - Anders Sandberg; Anders Lansner; Karl Magnus Petersson (Neurocomputing, 2001)

Biological evaluation of a Hebbian-Bayesian learning rule. - Niclas Wahlgren; Anders Lansner (Neurocomputing, 2001)

Modeling of Substance P and 5-HT Induced Synaptic Plasticity in the Lamprey Spinal CPG: Consequences for Network Pattern Generation. - Alexander K. Kozlov; Jeanette Hellgren Kotaleski; Erik Aurell; Sten Grillner; Anders Lansner (J. Comput. Neurosci., 2001)

Attractor Neural Networks with Hypercolumns. - Christopher Johansson; Anders Sandberg; Anders Lansner (ICANN, 2002)

Mechanisms for lateral turns in lamprey in response to descending unilateral commands: a modeling study. - Alexander K. Kozlov; Fredrik Ullén; Patriq Fagerstedt; Erik Aurell; Anders Lansner; Sten Grillner (Biol. Cybern., 2002)

Synaptic depression as an intrinsic driver of reinstatement dynamics in an attractor network. - Anders Sandberg; Anders Lansner (Neurocomputing, 2002)

Effects of short-term synaptic plasticity in a local microcircuit on cell firing. - David Eriksson; Erik Fransén; Yuri Zilberter; Anders Lansner (Neurocomputing, 2003)

Role of A-current in lamprey locomotor network neurons. - Mikael Huss; Dietmar Hess; Boris Lamotte d'Incamps; Abdeljabbar El Manira; Anders Lansner; Jeanette Hellgren Kotaleski (Neurocomputing, 2003)

Burst dynamics under mixed NMDA and AMPA drive in the models of the lamprey spinal CPG. - Alexander K. Kozlov; Anders Lansner; Sten Grillner (Neurocomputing, 2003)

Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory. - Anders Lansner; Erik Fransén; Anders Sandberg (Theory Biosci., 2003)

Towards Cortex Sized Attractor ANN. - Christopher Johansson; Anders Lansner (BioADIT, 2004)

Towards Cortex Sized Artificial Nervous Systems. - Christopher Johansson; Anders Lansner (KES, 2004)

Sequence memory with dynamical synapses. - Martin Rehn; Anders Lansner (Neurocomputing, 2004)

A model of the summation pools within the layer 4 (area 17). - Baran Çürüklü; Anders Lansner (Neurocomputing, 2005)

Attractor Memory with Self-organizing Input. - Christopher Johansson; Anders Lansner (BioADIT, 2006)

Recognition of handwritten digits using sparse codes generated by local feature extraction methods. - Rebecca Steinert; Martin Rehn; Anders Lansner (ESANN, 2006)

Clustering of Stored Memories in an Attractor Network with Local Competition. - Christopher Johansson; Örjan Ekeberg; Anders Lansner (Int. J. Neural Syst., 2006)

Attractor neural networks with patchy connectivity. - Christopher Johansson; Martin Rehn; Anders Lansner (Neurocomputing, 2006)

Attractor dynamics in a modular network model of the cerebral cortex. - Mikael Lundqvist; Martin Rehn; Anders Lansner (Neurocomputing, 2006)

The impact of the distribution of isoforms on CaMKII activation. - Malin Sandström; Johannes Hjorth; Anders Lansner; Jeanette Hellgren Kotaleski (Neurocomputing, 2006)

A hemicord locomotor network of excitatory interneurons: a simulation study. - Alexander K. Kozlov; Anders Lansner; Sten Grillner; Jeanette Hellgren Kotaleski (Biol. Cybern., 2007)

Scaling effects in a model of the olfactory bulb. - Malin Sandström; Jeanette Hellgren Kotaleski; Anders Lansner (Neurocomputing, 2007)

Simulation of networks of spiking neurons: A review of tools and strategies. - 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; et al. (J. Comput. Neurosci., 2007)

Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model. - Christopher Johansson; Anders Lansner (Neural Comput., 2007)

Towards cortex sized artificial neural systems. - Christopher Johansson; Anders Lansner (Neural Networks, 2007)

Large-scale modeling - a tool for conquering the complexity of the brain. - Mikael Djurfeldt; Örjan Ekeberg; Anders Lansner (Frontiers Neuroinformatics, 2008)

Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer. - Mikael Djurfeldt; Mikael Lundqvist; Christopher Johansson; Martin Rehn; Örjan Ekeberg; Anders Lansner (IBM J. Res. Dev., 2008)

Implementing plastic weights in neural networks using low precision arithmetic. - Christopher Johansson; Anders Lansner (Neurocomputing, 2009)

Modeling the response of a population of olfactory receptor neurons to an odorant. - Malin Sandström; Anders Lansner; Jeanette Hellgren Kotaleski; Jean-Pierre Rospars (J. Comput. Neurosci., 2009)

Bistable, Irregular Firing and Population Oscillations in a Modular Attractor Memory Network. - Mikael Lundqvist; Albert Compte; Anders Lansner (PLoS Comput. Biol., 2010)

A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. - Daniel Brüderle; Mihai A. Petrovici; Bernhard Vogginger; Matthias Ehrlich; Thomas Pfeil; Sebastian Millner; Andreas Grübl; Karsten Wendt; Eric Müller 001; Marc-Olivier Schwartz; Dan Husmann de Oliveira; Sebastian Jeltsch; et al. (Biol. Cybern., 2011)

Is Attentional Blink a Byproduct of Neocortical Attractors? - David Silverstein; Anders Lansner (Frontiers Comput. Neurosci., 2011)

Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model. - Mikael Lundqvist; Pawel Andrzej Herman; Anders Lansner (J. Cogn. Neurosci., 2011)

Biologically Inspired Computation for Chemical Sensing. - Jordi Fonollosa; Agustin Gutierrez-Galvez; Anders Lansner; Dominique Martinez; Jean-Pierre Rospars; Romeo Beccherelli; Alexandre Perera; Tim C. Pearce; Paul Vershure; Krishna C. Persaud; Santiago Marco (FET, 2011)

Anisotropic connectivity implements motion-based prediction in a spiking neural network. - Bernhard A. Kaplan; Anders Lansner; Guillaume S. Masson; Laurent U. Perrinet (Frontiers Comput. Neurosci., 2013)

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. - Mikael Lundqvist; Pawel Andrzej Herman; J. Matias Palva; Satu Palva; David Silverstein; Anders Lansner (NeuroImage, 2013)

A scalable custom simulation machine for the Bayesian Confidence Propagation Neural Network model of the brain. - Nasim Farahini; Ahmed Hemani; Anders Lansner; Fabien Clermidy; Christer Svensson (ASP-DAC, 2014)

Spiking brain models: Computation, memory and communication constraints for custom hardware implementation. - Anders Lansner; Ahmed Hemani; Nasim Farahini (ASP-DAC, 2014)

Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network. - Bernhard A. Kaplan; Mina A. Khoei; Anders Lansner; Laurent U. Perrinet (IJCNN, 2014)

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. - Mihai A. Petrovici; Bernhard Vogginger; Paul Müller 002; Oliver Breitwieser; Mikael Lundqvist; Lyle Muller; Matthias Ehrlich; Alain Destexhe; Anders Lansner; René Schüffny; Johannes Schemmel; Karlheinz Meier (CoRR, 2014)

Memory consolidation from seconds to weeks: a three-stage neural network model with autonomous reinstatement dynamics. - Florian Fiebig; Anders Lansner (Frontiers Comput. Neurosci., 2014)

Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models. - Alberto Mazzoni; Henrik Lindén; Hermann Cuntz; Anders Lansner; Stefano Panzeri; Gaute T. Einevoll (PLoS Comput. Biol., 2015)

Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. - Philip J. Tully; Henrik Lindén; Matthias H. Hennig; Anders Lansner (PLoS Comput. Biol., 2016)

Odor recognition in an attractor network model of the mammalian olfactory cortex. - Pawel Andrzej Herman; Simon Benjaminsson; Anders Lansner (IJCNN, 2017)

Pedestrian simulation as multi-objective reinforcement learning. - Naresh Balaji Ravichandran; Fangkai Yang; Christopher Peters 001; Anders Lansner; Pawel Andrzej Herman (IVA, 2018)

Sequence Disambiguation with Synaptic Traces in Associative Neural Networks. - Ramon H. Martinez; Oskar Kviman; Anders Lansner; Pawel Andrzej Herman (ICANN (1), 2019)

eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex. - Dimitrios Stathis 001; Chirag Sudarshan; Yu Yang; Matthias Jung 001; Syed Mohammad Asad Hassan Jafri; Christian Weis; Ahmed Hemani; Anders Lansner; Norbert Wehn (CoRR, 2019)

Introducing double bouquet cells into a modular cortical associative memory model. - Nikolaos Chrysanthidis; Florian Fiebig; Anders Lansner (J. Comput. Neurosci., 2019)

Analysis of free recall dynamics of an abstract working memory model. - Gianluca Villani; Matin Jafarian; Anders Lansner; Karl Henrik Johansson (ACC, 2020)

Learning representations in Bayesian Confidence Propagation neural networks. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (IJCNN, 2020)

A FPGA-based Hardware Accelerator for Bayesian Confidence Propagation Neural Network. - Lizheng Liu; Deyu Wang; Yuning Wang; Anders Lansner; Ahmed Hemani; Yu Yang; Xiaoming Hu 001; Zhuo Zou; Lirong Zheng 001 (NorCAS, 2020)

eBrainII: a 3 kW Realtime Custom 3D DRAM Integrated ASIC Implementation of a Biologically Plausible Model of a Human Scale Cortex. - Dimitrios Stathis 001; Chirag Sudarshan; Yu Yang; Matthias Jung 001; Christian Weis; Ahmed Hemani; Anders Lansner; Norbert Wehn (J. Signal Process. Syst., 2020)

A Memristor Model with Concise Window Function for Spiking Brain-Inspired Computation. - Jiawei Xu 002; Deyu Wang; Feng Li 051; Lianhao Zhang; Dimitrios Stathis 001; Yu Yang; Yi Jin 007; Anders Lansner; Ahmed Hemani; Zhuo Zou; Li-Rong Zheng 001 (AICAS, 2021)

Approximate computation of post-synaptic spikes reduces bandwidth to synaptic storage in a model of cortex. - Dimitrios Stathis 001; Yu Yang; Ahmed Hemani; Anders Lansner (DATE, 2021)

Semi-supervised learning with Bayesian Confidence Propagation Neural Network. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (ESANN, 2021)

StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. - Artur Podobas; Martin Svedin; Steven Wei Der Chien; Ivy Bo Peng; Naresh Balaji Ravichandran; Pawel Andrzej Herman; Anders Lansner; Stefano Markidis (HEART, 2021)

Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (ICANN (5), 2021)

Memristor-Based In-Circuit Computation for Trace-Based STDP. - Deyu Wang; Jiawei Xu 002; Feng Li 051; Lianhao Zhang; Yuning Wang; Anders Lansner; Ahmed Hemani; Lirong Zheng 001; Zhuo Zou (AICAS, 2022)

Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve. - Patrícia Pereira; Anders Lansner; Pawel Andrzej Herman (IJCNN, 2022)

CORtEX 2022 Invited Speaker 2: Brain-like machine learning using BCPNN. - Anders Lansner (IPDPS Workshops, 2022)

Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (LOD (2), 2022)

Spiking neural networks with Hebbian plasticity for unsupervised representation learning. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (ESANN, 2023)

Hebbian fast plasticity and working memory. - Anders Lansner; Florian Fiebig; Pawel Andrzej Herman (CoRR, 2023)

A Memristor-Based Learning Engine for Synaptic Trace-Based Online Learning. - Deyu Wang; Jiawei Xu 002; Feng Li 051; Lianhao Zhang; Chengwei Cao; Dimitrios Stathis 001; Anders Lansner; Ahmed Hemani; Lirong Zheng 001; Zhuo Zou (IEEE Trans. Biomed. Circuits Syst., 2023)

FPGA-Based HPC for Associative Memory System. - Deyu Wang; Yuning Wang; Yu Yang; Dimitrios Stathis 001; Ahmed Hemani; Anders Lansner; Jiawei Xu 002; Li-Rong Zheng 001; Zhuo Zou (ASPDAC, 2024)

Benchmarking Hebbian learning rules for associative memory. - Anders Lansner; Naresh Balaji Ravichandran; Pawel Andrzej Herman (CoRR, 2024)

Spiking representation learning for associative memories. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (CoRR, 2024)

Modeling Cycle-to-Cycle Variation in Memristors for In-Situ Unsupervised Trace-STDP Learning. - Jiawei Xu 002; Yi Zheng; Feng Li 051; Dimitrios Stathis 001; Ruisi Shen; Haoming Chu; Anders Lansner; Lirong Zheng 001; Zhuo Zou; Ahmed Hemani (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks. - Muhammad Ihsan Al Hafiz; Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman; Artur Podobas (ARC, 2025)

Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (Neurocomputing, 2025)

Scalable Multi-FPGA HPC Architecture for Associative Memory System. - Deyu Wang; Xiaoze Yan; Yu Yang; Dimitrios Stathis 001; Ahmed Hemani; Anders Lansner; Jiawei Xu 002; Li-Rong Zheng 001; Zhuo Zou (IEEE Trans. Biomed. Circuits Syst., 2025)

Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference. - Muhammad Ihsan Al Hafiz; Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman; Artur Podobas (CoRR, 2025)