Anders Lansner

105 papers A 1B 11C 3Journal 72Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Heuristic Neuromorphic Solver for the Edge User Allocation Problem with Bayesian Confidence Propagation Neural Network. CoRR Kecheng Zhang, Anders Lansner, Ahsan Javed Awan, Naresh Balaji Ravichandran, Pawel Andrzej Herman
2025	—	`conf`	A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks. ARC Muhammad Ihsan Al Hafiz, Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman, Artur Podobas
2025	J	`jnl`	A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks. CoRR Muhammad Ihsan Al Hafiz, Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman, Artur Podobas
2025	—	`conf`	Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference. MCSoC Muhammad Ihsan Al Hafiz, Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman, Artur Podobas
2025	J	`jnl`	Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference. CoRR Muhammad Ihsan Al Hafiz, Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman, Artur Podobas
2025	J	`jnl`	Scalable Multi-FPGA HPC Architecture for Associative Memory System. IEEE Trans. Biomed. Circuits Syst. Deyu Wang, Xiaoze Yan, Yu Yang, Dimitrios Stathis, Ahmed Hemani, Anders Lansner, Jiawei Xu, Li-Rong Zheng, Zhuo Zou
2025	—	`conf`	Sim-to-Real Neural Perception for Terrain Classification in Search and Rescue Robotics. SSRR Christyan Cruz Ulloa, Naresh Balaji Ravichandran, Diego Argüello Ron, Alicia Prieto, Anders Lansner, Pawel Herman, Jaime del Cerro
2025	J	`jnl`	Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks. Neurocomputing Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2024	J	`jnl`	Benchmarking Hebbian learning rules for associative memory. CoRR Anders Lansner, Naresh Balaji Ravichandran, Pawel Andrzej Herman
2024	B	`conf`	FPGA-Based HPC for Associative Memory System. ASPDAC Deyu Wang, Yuning Wang, Yu Yang, Dimitrios Stathis, Ahmed Hemani, Anders Lansner, Jiawei Xu, Li-Rong Zheng, Zhuo Zou
2024	J	`jnl`	Modeling Cycle-to-Cycle Variation in Memristors for In-Situ Unsupervised Trace-STDP Learning. IEEE Trans. Circuits Syst. II Express Briefs Jiawei Xu, Yi Zheng, Feng Li, Dimitrios Stathis, Ruisi Shen, Haoming Chu, Anders Lansner, Lirong Zheng, Zhuo Zou, Ahmed Hemani
2024	J	`jnl`	Spiking representation learning for associative memories. CoRR Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2024	J	`jnl`	Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks. CoRR Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2023	J	`jnl`	A Memristor-Based Learning Engine for Synaptic Trace-Based Online Learning. IEEE Trans. Biomed. Circuits Syst. Deyu Wang, Jiawei Xu, Feng Li, Lianhao Zhang, Chengwei Cao, Dimitrios Stathis, Anders Lansner, Ahmed Hemani, Lirong Zheng, Zhuo Zou
2023	J	`jnl`	Hebbian fast plasticity and working memory. CoRR Anders Lansner, Florian Fiebig, Pawel Andrzej Herman
2023	B	`conf`	Spiking neural networks with Hebbian plasticity for unsupervised representation learning. ESANN Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2023	J	`jnl`	Spiking neural networks with Hebbian plasticity for unsupervised representation learning. CoRR Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2022	—	`conf`	Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition. LOD (2) Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2022	J	`jnl`	Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition. CoRR Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2022	—	`conf`	CORtEX 2022 Invited Speaker 2: Brain-like machine learning using BCPNN. IPDPS Workshops Anders Lansner
2022	B	`conf`	Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve. IJCNN Patrícia Pereira, Anders Lansner, Pawel Andrzej Herman
2022	—	`conf`	Memristor-Based In-Circuit Computation for Trace-Based STDP. AICAS Deyu Wang, Jiawei Xu, Feng Li, Lianhao Zhang, Yuning Wang, Anders Lansner, Ahmed Hemani, Lirong Zheng, Zhuo Zou
2021	—	`conf`	A Memristor Model with Concise Window Function for Spiking Brain-Inspired Computation. AICAS Jiawei Xu, Deyu Wang, Feng Li, Lianhao Zhang, Dimitrios Stathis, Yu Yang, Yi Jin, Anders Lansner, Ahmed Hemani, Zhuo Zou, Li-Rong Zheng
2021	A	`conf`	Approximate computation of post-synaptic spikes reduces bandwidth to synaptic storage in a model of cortex. DATE Dimitrios Stathis, Yu Yang, Ahmed Hemani, Anders Lansner
2021	—	`conf`	Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study. ICANN (5) Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2021	B	`conf`	Semi-supervised learning with Bayesian Confidence Propagation Neural Network. ESANN Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2021	J	`jnl`	Semi-supervised learning with Bayesian Confidence Propagation Neural Network. CoRR Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2021	—	`conf`	StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. HEART Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis
2021	J	`jnl`	StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs. CoRR Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis
2020	—	`conf`	A FPGA-based Hardware Accelerator for Bayesian Confidence Propagation Neural Network. NorCAS Lizheng Liu, Deyu Wang, Yuning Wang, Anders Lansner, Ahmed Hemani, Yu Yang, Xiaoming Hu, Zhuo Zou, Lirong Zheng
2020	C	`conf`	Analysis of free recall dynamics of an abstract working memory model. ACC Gianluca Villani, Matin Jafarian, Anders Lansner, Karl Henrik Johansson
2020	J	`jnl`	Brain-like approaches to unsupervised learning of hidden representations - a comparative study. CoRR Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2020	B	`conf`	Learning representations in Bayesian Confidence Propagation neural networks. IJCNN Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2020	J	`jnl`	Learning representations in Bayesian Confidence Propagation neural networks. CoRR Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman
2020	J	`jnl`	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. Dimitrios Stathis, Chirag Sudarshan, Yu Yang, Matthias Jung, Christian Weis, Ahmed Hemani, Anders Lansner, Norbert Wehn
2019	J	`jnl`	Analysis of free recall dynamics of an abstract working memory model. CoRR Gianluca Villani, Matin Jafarian, Anders Lansner, Karl Henrik Johansson
2019	J	`jnl`	Introducing double bouquet cells into a modular cortical associative memory model. J. Comput. Neurosci. Nikolaos Chrysanthidis, Florian Fiebig, Anders Lansner
2019	—	`conf`	Sequence Disambiguation with Synaptic Traces in Associative Neural Networks. ICANN (1) Ramon H. Martinez, Oskar Kviman, Anders Lansner, Pawel Andrzej Herman
2019	J	`jnl`	eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex. CoRR Dimitrios Stathis, Chirag Sudarshan, Yu Yang, Matthias Jung, Syed Mohammad Asad Hassan Jafri, Christian Weis, Ahmed Hemani, Anders Lansner, Norbert Wehn
2018	B	`conf`	Pedestrian simulation as multi-objective reinforcement learning. IVA Naresh Balaji Ravichandran, Fangkai Yang, Christopher Peters, Anders Lansner, Pawel Andrzej Herman
2017	B	`conf`	Odor recognition in an attractor network model of the mammalian olfactory cortex. IJCNN Pawel Andrzej Herman, Simon Benjaminsson, Anders Lansner
2016	J	`jnl`	Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. PLoS Comput. Biol. Philip J. Tully, Henrik Lindén, Matthias H. Hennig, Anders Lansner
2015	J	`jnl`	Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models. PLoS Comput. Biol. Alberto Mazzoni, Henrik Lindén, Hermann Cuntz, Anders Lansner, Stefano Panzeri, Gaute T. Einevoll
2014	—	`conf`	A scalable custom simulation machine for the Bayesian Confidence Propagation Neural Network model of the brain. ASP-DAC Nasim Farahini, Ahmed Hemani, Anders Lansner, Fabien Clermidy, Christer Svensson
2014	J	`jnl`	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 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
2014	J	`jnl`	Memory consolidation from seconds to weeks: a three-stage neural network model with autonomous reinstatement dynamics. Frontiers Comput. Neurosci. Florian Fiebig, Anders Lansner
2014	B	`conf`	Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network. IJCNN Bernhard A. Kaplan, Mina A. Khoei, Anders Lansner, Laurent U. Perrinet
2014	—	`conf`	Spiking brain models: Computation, memory and communication constraints for custom hardware implementation. ASP-DAC Anders Lansner, Ahmed Hemani, Nasim Farahini
2013	J	`jnl`	Anisotropic connectivity implements motion-based prediction in a spiking neural network. Frontiers Comput. Neurosci. Bernhard A. Kaplan, Anders Lansner, Guillaume S. Masson, Laurent U. Perrinet
2013	J	`jnl`	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 Mikael Lundqvist, Pawel Andrzej Herman, J. Matias Palva, Satu Palva, David Silverstein, Anders Lansner
2011	J	`jnl`	A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biol. Cybern. 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 B. Muller, Johannes Partzsch, Stefan Scholze, Lukas Zühl, Christian Mayr, Alain Destexhe, Markus Diesmann, Tobias C. Potjans, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier
2011	—	`conf`	Biologically Inspired Computation for Chemical Sensing. FET 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
2011	J	`jnl`	Is Attentional Blink a Byproduct of Neocortical Attractors? Frontiers Comput. Neurosci. David Silverstein, Anders Lansner
2011	J	`jnl`	Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model. J. Cogn. Neurosci. Mikael Lundqvist, Pawel Andrzej Herman, Anders Lansner
2010	J	`jnl`	Bistable, Irregular Firing and Population Oscillations in a Modular Attractor Memory Network. PLoS Comput. Biol. Mikael Lundqvist, Albert Compte, Anders Lansner
2009	J	`jnl`	Implementing plastic weights in neural networks using low precision arithmetic. Neurocomputing Christopher Johansson, Anders Lansner
2009	J	`jnl`	Modeling the response of a population of olfactory receptor neurons to an odorant. J. Comput. Neurosci. Malin Sandström, Anders Lansner, Jeanette Hellgren Kotaleski, Jean-Pierre Rospars
2008	J	`jnl`	Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer. IBM J. Res. Dev. Mikael Djurfeldt, Mikael Lundqvist, Christopher Johansson, Martin Rehn, Örjan Ekeberg, Anders Lansner
2008	J	`jnl`	Large-scale modeling - a tool for conquering the complexity of the brain. Frontiers Neuroinformatics Mikael Djurfeldt, Örjan Ekeberg, Anders Lansner
2007	J	`jnl`	A hemicord locomotor network of excitatory interneurons: a simulation study. Biol. Cybern. Alexander K. Kozlov, Anders Lansner, Sten Grillner, Jeanette Hellgren Kotaleski
2007	J	`jnl`	Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model. Neural Comput. Christopher Johansson, Anders Lansner
2007	J	`jnl`	Scaling effects in a model of the olfactory bulb. Neurocomputing Malin Sandström, Jeanette Hellgren Kotaleski, Anders Lansner
2007	J	`jnl`	Simulation of networks of spiking neurons: A review of tools and strategies. J. Comput. Neurosci. 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 B. Muller, Andrew P. Davison, Sami El Boustani, Alain Destexhe
2007	J	`jnl`	Towards cortex sized artificial neural systems. Neural Networks Christopher Johansson, Anders Lansner
2006	—	`conf`	Attractor Memory with Self-organizing Input. BioADIT Christopher Johansson, Anders Lansner
2006	J	`jnl`	Attractor dynamics in a modular network model of the cerebral cortex. Neurocomputing Mikael Lundqvist, Martin Rehn, Anders Lansner
2006	J	`jnl`	Attractor neural networks with patchy connectivity. Neurocomputing Christopher Johansson, Martin Rehn, Anders Lansner
2006	J	`jnl`	Clustering of Stored Memories in an Attractor Network with Local Competition. Int. J. Neural Syst. Christopher Johansson, Örjan Ekeberg, Anders Lansner
2006	B	`conf`	Recognition of handwritten digits using sparse codes generated by local feature extraction methods. ESANN Rebecca Steinert, Martin Rehn, Anders Lansner
2006	J	`jnl`	The impact of the distribution of isoforms on CaMKII activation. Neurocomputing Malin Sandström, Johannes Hjorth, Anders Lansner, Jeanette Hellgren Kotaleski
2005	J	`jnl`	A model of the summation pools within the layer 4 (area 17). Neurocomputing Baran Çürüklü, Anders Lansner
2005	B	`conf`	Attractor neural networks with patchy connectivity. ESANN Christopher Johansson, Martin Rehn, Anders Lansner
2004	J	`jnl`	Sequence memory with dynamical synapses. Neurocomputing Martin Rehn, Anders Lansner
2004	B	`conf`	Towards Cortex Sized Artificial Nervous Systems. KES Christopher Johansson, Anders Lansner
2004	—	`conf`	Towards Cortex Sized Attractor ANN. BioADIT Christopher Johansson, Anders Lansner
2003	J	`jnl`	Burst dynamics under mixed NMDA and AMPA drive in the models of the lamprey spinal CPG. Neurocomputing Alexander K. Kozlov, Anders Lansner, Sten Grillner
2003	J	`jnl`	Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory. Theory Biosci. Anders Lansner, Erik Fransén, Anders Sandberg
2003	J	`jnl`	Effects of short-term synaptic plasticity in a local microcircuit on cell firing. Neurocomputing David Eriksson, Erik Fransén, Yuri Zilberter, Anders Lansner
2003	J	`jnl`	Role of A-current in lamprey locomotor network neurons. Neurocomputing Mikael Huss, Dietmar Hess, Boris Lamotte d'Incamps, Abdeljabbar El Manira, Anders Lansner, Jeanette Hellgren Kotaleski
2002	C	`conf`	Attractor Neural Networks with Hypercolumns. ICANN Christopher Johansson, Anders Sandberg, Anders Lansner
2002	J	`jnl`	Mechanisms for lateral turns in lamprey in response to descending unilateral commands: a modeling study. Biol. Cybern. Alexander K. Kozlov, Fredrik Ullén, Patriq Fagerstedt, Erik Aurell, Anders Lansner, Sten Grillner
2002	J	`jnl`	Synaptic depression as an intrinsic driver of reinstatement dynamics in an attractor network. Neurocomputing Anders Sandberg, Anders Lansner
2001	J	`jnl`	Biological evaluation of a Hebbian-Bayesian learning rule. Neurocomputing Niclas Wahlgren, Anders Lansner
2001	J	`jnl`	Modeling of Substance P and 5-HT Induced Synaptic Plasticity in the Lamprey Spinal CPG: Consequences for Network Pattern Generation. J. Comput. Neurosci. Alexander K. Kozlov, Jeanette Hellgren Kotaleski, Erik Aurell, Sten Grillner, Anders Lansner
2001	J	`jnl`	Selective enhancement of recall through plasticity modulation in an autoassociative memory. Neurocomputing Anders Sandberg, Anders Lansner, Karl Magnus Petersson
2001	C	`conf`	Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F Neurons. ICANN Baran Çürüklü, Anders Lansner
2000	J	`jnl`	A palimpsest memory based on an incremental Bayesian learning rule. Neurocomputing Anders Sandberg, Anders Lansner, Karl Magnus Petersson, Örjan Ekeberg
2000	J	`jnl`	Modeling of plasticity of the synaptic connections in the lamprey spinal CPG - consequences for network behavior. Neurocomputing Alexander K. Kozlov, Jeanette Hellgren Kotaleski, Erik Aurell, Sten Grillner, Anders Lansner
2000	—	`conf`	On Forgetful Attractor Network Memories. ANNIMAB Anders Lansner, Anders Sandberg, Karl Magnus Petersson, Martin Ingvar
1999	J	`jnl`	Control of burst proportion and frequency range by drive-dependent modulation of adaptation. Neurocomputing Jeanette Hellgren Kotaleski, Jesper Tegnér, Sten Grillner, Anders Lansner
1999	J	`jnl`	Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey. Biol. Cybern. Jeanette Hellgren Kotaleski, Sten Grillner, Anders Lansner
1999	J	`jnl`	Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey. Biol. Cybern. Jeanette Hellgren Kotaleski, Anders Lansner, Sten Grillner
1999	J	`jnl`	See - A framework for simulation of biologically detailed and artificial neural networks and systems. Neurocomputing Mikael Djurfeldt, Anders Sandberg, Örjan Ekeberg, Anders Lansner
1998	J	`jnl`	Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator. Biol. Cybern. M. Ullström, Jeanette Hellgren Kotaleski, Jesper Tegnér, Erik Aurell, Sten Grillner, Anders Lansner
1998	J	`jnl`	Modulation of Burst Frequency by Calcium-Dependent Potassium Channels in the Lamprey Locomotor System: Dependence of the Activity Level. J. Comput. Neurosci. Jesper Tegnér, Anders Lansner, Sten Grillner
1998	J	`jnl`	Self-Orienting with On-Line Learning of Environmental Features. Adapt. Behav. Guang Li, Anders Lansner, Bertil Svensson
1997	—	`conf`	Attractor Network Models of Cortical Associative Memory. BCEC Anders Lansner, Erik Fransén
1997	J	`jnl`	Intersegmental coordination in the lamprey: simulations using a network model without segmental boundaries. Biol. Cybern. Tom Wadden, Jeanette Hellgren, Anders Lansner, Sten Grillner
1996	J	`jnl`	A Higher order Bayesian Neural Network with Spiking Units. Int. J. Neural Syst. Anders Lansner, Anders Holst
1995	J	`jnl`	The Neural Control of Fish Swimming Studied Through Numerical Simulations. Adapt. Behav. Örjan Ekeberg, Sten Grillner, Anders Lansner
1993	J	`jnl`	A Flexible And Fault Tolerant Query-Reply System Based On A Bayesian Neural Network. Int. J. Neural Syst. Anders Holst, Anders Lansner
1992	J	`jnl`	Computer simulation of the segmental neural network generating locomotion in lamprey by using populations of network interneurons. Biol. Cybern. Jeanette Hellgren, Sten Grillner, Anders Lansner
1991	J	`jnl`	A computer based model for realistic simulations of neural networks. Biol. Cybern. Örjan Ekeberg, Peter Wallén, Anders Lansner, Hans G. C. Tråvén, L. Brodin, Sten Grillner
1989	J	`jnl`	A One-Layer Feedback Artificial Neural Network with a Bayesian Learning Rule. Int. J. Neural Syst. Anders Lansner, Örjan Ekeberg
1985	J	`jnl`	Reliability and Speed of Recall in an Associative Network. IEEE Trans. Pattern Anal. Mach. Intell. Anders Lansner, Örjan Ekeberg