A. Lansner

A. Lansner, C. Halldin, M. Schain, 2013, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

A computer based model for realistic simulations of neural networks

Örjan Ekeberg, Anders Lansner, Sten Grillner, 1991, Biological Cybernetics.

Modelling Hebbian cell assemblies comprised of cortical neurons

A. Lansner, E. Fransén, 1992 .

Modeling a vertebrate motor system: pattern generation, steering and control of body orientation.

Paolo Dario, Arianna Menciassi, Alexander Kozlov, 2007, Progress in brain research.

Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey

S. Grillner, A. Lansner, J. Kotaleski, 1999, Biological Cybernetics.

Intrinsic function of a neuronal network — a vertebrate central pattern generator 1 Published on the World Wide Web on 8 April 1998. 1

S. Grillner, P. Wallén, Ö. Ekeberg, 1998, Brain Research Reviews.

Modeling of the Spinal Neuronal Circuitry Underlying Locomotion in a Lower Vertebratea

S. Grillner, A. Lansner, Jeanette Hellgren Kotaleski, 1998, Annals of the New York Academy of Sciences.

Intersegmental coordination in the lamprey: simulations using a network model without segmental boundaries

Anders Lansner, Jeanette Kotaleski, Sten Grillner, 1997, Biological Cybernetics.

do the Motoneurones Constitute a Part of the Spinal Network Generating the Swimming Rhythm in the Lamprey

P. Wallén, A. Lansner, 1984 .

Low spiking rates in a population of mutually exciting pyramidal cells

A. Lansner, E. Fransén, 1995 .

Low-voltage-activated calcium channels in the lamprey locomotor network: simulation and experiment.

S. Grillner, A. Lansner, J. Tegnér, 1997, Journal of neurophysiology.

SWIM — A Simulation Environment for Realistic Neural Network Modeling

Ö. Ekeberg, A. Lansner, B. Levin, 1994 .

Simple cellular and network control principles govern complex patterns of motor behavior

S. Grillner, A. Lansner, A. Kozlov, 2009, Proceedings of the National Academy of Sciences.

Large-Scale Modeling – a Tool for Conquering the Complexity of the Brain

Örjan Ekeberg, Anders Lansner, Mikael Djurfeldt, 2008, Frontiers Neuroinformatics.

A One-Layer Feedback Artificial Neural Network with a Bayesian Learning Rule

Örjan Ekeberg, Anders Lansner, Ö. Ekeberg, 1989, Int. J. Neural Syst..

Computer simulation of the segmental neural network generating locomotion in lamprey by using populations of network interneurons

Anders Lansner, Jeanette Kotaleski, Sten Grillner, 2004, Biological Cybernetics.

Neurocognitive Architecture of Working Memory

A. Lansner, E. Vogel, L. Nyberg, 2015, Neuron.

Roles of ionic currents in lamprey CpG neurons: a modeling study.

S. Grillner, P. Wallén, A. Lansner, 2007, Journal of neurophysiology.

EXAMPLES OF REALISTIC NEURAL NETWORK SIMULATIONS

Örjan Ekeberg, Anders Lansner, Sten Grillner, 1991 .

The segmental burst-generating network used in lamprey locomotion: Experiments and simulations

S. Grillner, P. Wallén, Ö. Ekeberg, 1989 .

The Neural Control of Fish Swimming Studied Through Numerical Simulations

Örjan Ekeberg, Anders Lansner, Sten Grillner, 1995, Adapt. Behav..

Mechanisms underlying the serotonergic modulation of the spinal circuitry for locomotion in lamprey.

S. Grillner, P. Wallén, A. Lansner, 1989, Progress in brain research.

Performance of a Computational Model of the Mammalian Olfactory System

Anders Lansner, Simon Benjaminsson, Pawel Herman, 2013 .

Functional Relevance of Different Basal Ganglia Pathways Investigated in a Spiking Model with Reward Dependent Plasticity

A. Lansner, J. Hellgren-kotaleski, Pierre Berthet, 2016, Front. Neural Circuits.

Optogenetic Stimulation in a Computational Model of the Basal Ganglia Biases Action Selection and Reward Prediction Error

A. Lansner, Pierre Berthet, P. Berthet, 2014, PloS one.

On the development and functional roles of the horizontal connections within the primary visual cortex (V1)

A. Lansner, Baran Çürüklü, 2005 .

A Neural Reinforcement Learning System

A. Lansner, Christopher Johansson, 2002 .

Map Formation in the Olfactory Bulb by Axon Guidance of Olfactory Neurons

Bernhard A. Kaplan, A. Lansner, B. Auffarth, 2011, Front. Syst. Neurosci..

Edinburgh Research Explorer Synaptic and nonsynaptic plasticity approximating probabilistic inference

Matthias H Hennig, A. Lansner, M. Hennig, 2016 .

Neuronal network generating locomotor behavior in lamprey: circuitry, transmitters, membrane properties, and simulation.

S. Grillner, P. Wallén, A. Lansner, 1991, Annual review of neuroscience.

A working memory model based on fast Hebbian learning

A. Lansner, J. Tegnér, J. Tegner, 2003 .

A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation

A. Lansner, Florian Fiebig, 2017, The Journal of Neuroscience.

A working memory model based on fast Hebbian learning.

A. Lansner, J. Tegnér, J. Tegner, 2003, Network.

A Bayesian attractor network with incremental learning.

A. Lansner, O. Ekeberg, K. Petersson, 2002, Network.

Bayesian neural networks with confidence estimations applied to data mining

A. Lansner, M. Lindquist, A. Bate, 2000 .

A mathematical model of the mitochondrial NADH shuttles and anaplerosis in the pancreatic beta-cell.

A. Lansner, J. Kotaleski, V. Grill, 2007, American journal of physiology. Endocrinology and metabolism.

A Bayesian Neural Network Model with Extensions a Bayesian Neural Network Model with Extensions

Anders Lansner, Anders Holst, A. Lansner, 1993 .

An Associative Neural Network Model of Classical Conditioning

Anders Lansner, Christopher Johansson, A. Lansner, 2003 .

Long-range recruitment of Martinotti cells causes surround suppression and promotes saliency in an attractor network model

Anders Lansner, Gilad Silberberg, Pradeep Krishnamurthy, 2015, Front. Neural Circuits.

Distributed cell assemblies and detailed cell models

Anders Lansner, Erik Fransén, A. Lansner, 1995, Behavioral and Brain Sciences.

Compression and Storage of Medical Data in Pacemakers

Anders Lansner, Pontus Lindqvist, A. Lansner, 2005 .

Models of CaMKII Activation

A. Lansner, M. Sandström, 2004 .

Reactivation in Working Memory: An Attractor Network Model of Free Recall

Anders Lansner, Lars-Göran Nilsson, Sverker Sikström, 2013, PloS one.

Bayesian Mixture Density Neural Networks

A. Lansner, R. Orre, 1996 .

Cortical associative memory and BCPNN

A. Lansner, Örjan Ekberg, 2000 .

A Cortical Attractor Network with Martinotti Cells Driven by Facilitating Synapses

Anders Lansner, Gilad Silberberg, Pradeep Krishnamurthy, 2012, PloS one.

Self-Organisation of Hypercolumns based on Force-Directed Clustering

A. Lansner, Morten Diesen, 2005 .

Playful Prevention and Rehabilitation for Active Ageing – Effective games for health for the elderly

A. Lansner, G. Silberberg, L. Brandt, 2015 .

Melanocortin-Receptor ( MCR ) Modelling

A. Lansner, J. Kotaleski, Fredrik Elmér, 2006 .

Odor segmentation and identification in an abstract large-scale model of the mammalian olfactory system

A. Lansner, P. Herman, Simon Benjaminsson, 2011, BMC Neuroscience.

Local spinal modulation of the K Ca channel underlying slow adaptation in a model of the lamprey CPG

Anders Lansner, Jeanette Hellgren Kotaleski, Sten Grillner, 1998 .

Pharmacological Characterisation of Adult Neural Stem Cells Evaluation of Maxadilan to study the PAC 1 receptor in adult neural stem cells

A. Lansner, Sandra Jeldes, 2004 .

Functional Network Identification in Human Resting-state fMRI using Hierarchical Clustering by Time-Lagged Correlations

A. Lansner, J. Lagergren, 2011 .

A Computational Model for Contour Detection in the Primary Visual Cortex

A. Lansner, 2005 .

Continuous Estimation of Individuated Finger Movement for Prosthetic Control using Surface Electromyography

A. Lansner, Christer Wanngård, 2005 .

Ups and downs in the genesis of cortical computation

Wolfgang Maass, C. M. Michel, Anders Lansner, 2006 .

Estimating User Interruptability using Contextual Parameters and Machine-Learning Algorithms

A. Lansner, J. Hesselberg, 2005 .

A Mean Field Approximation of BCPNN

A. Lansner, Christopher Johansson, 2005 .

A cortical attractor network with dynamic synapses

A. Lansner, G. Silberberg, Pradeep Krishnamurthy, 2011, BMC Neuroscience.

Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition

Naresh Balaji Ravichandran, A. Lansner, P. Herman, 2022, ArXiv.

A Query-Reply System Based on a Modular Bayesian Neural Network

A. Lansner, Niklas Skog, 2006 .

Glucose-induced [Ca2+]i abnormalities in human pancreatic islets: important role of overstimulation.

A. Lansner, V. Grill, A. Björklund, 2000, Diabetes.

Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition

Naresh Balaji Ravichandran, A. Lansner, P. Herman, 2022, LOD.

Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve

A. Lansner, P. Herman, Patr'icia Pereira, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

UPs and DOWNs in cortical computation

Eörs Szathmáry, C. M. Michel, Anders Lansner, 2006 .

Group Report : Neocortical Microcircuits UPs and DOWNs in Cortical Computation

Eörs Szathmáry, C. M. Michel, Anders Lansner, 2006 .

Modulating the calcium dependent potassium conductance in a model of the Lamprey CPG

Anders Lansner, Jeanette Hellgren Kotaleski, Sten Grillner, 1997 .

A biomimetic approach to machine olfaction, featuring a very large-scale chemical sensor array and embedded neuro-bio-inspired computation

A. Lansner, J. Rospars, D. Martinez, 2013, Microsystem Technologies.

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 pdf

Johannes Schemmel, Karlheinz Meier, Anders Lansner, 2014, ArXiv.

Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm

Anders Lansner, Christopher Johansson, A. Lansner, 2022 .

Attractor Memory with Self-organizing Input

Anders Lansner, Christopher Johansson, A. Lansner, 2006, BioADIT.

Recognition of handwritten digits using sparse codes generated by local feature extraction methods

Martin Rehn, Anders Lansner, Rebecca Steinert, 2006, ESANN.

Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory

Anders Lansner, Anders Sandberg, Erik Fransén, 2003, Theory in Biosciences.

Effect of Prestimulus Alpha Power, Phase, and Synchronization on Stimulus Detection Rates in a Biophysical Attractor Network Model

Anders Lansner, Mikael Lundqvist, Pawel Herman, 2013, The Journal of Neuroscience.

Traces of Semantization, from Episodic to Semantic Memory in a Spiking Cortical Network Model

A. Lansner, P. Herman, Florian Fiebig, 2021, eNeuro.

Associative Processing in Brain Theory and Artificial Intelligence

Anders Lansner, A. Lansner, 1986 .

A hemicord locomotor network of excitatory interneurons: a simulation study

Anders Lansner, Jeanette Kotaleski, Sten Grillner, 2007, Biological Cybernetics.

Synaptic and nonsynaptic plasticity approximating probabilistic inference

Anders Lansner, Matthias H. Hennig, Philip J. Tully, 2014, Front. Synaptic Neurosci..

Towards Cortex Sized Artificial Nervous Systems

Anders Lansner, Christopher Johansson, A. Lansner, 2004, KES.

Towards Cortex Sized Attractor ANN

Anders Lansner, Christopher Johansson, A. Lansner, 2004, BioADIT.

An abstract model of a cortical hypercolumn

A. Lansner, B. Curuklu, A. Lansner, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F Neurons

Baran Çürüklü, Anders Lansner, A. Lansner, 2001, ICANN.

Large-Scale Simulations of Plastic Neural Networks on Neuromorphic Hardware

Steve B. Furber, Anders Lansner, James C. Knight, 2016, Front. Neuroanat..

A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory system

Anders Lansner, Bernhard A. Kaplan, A. Lansner, 2014, Front. Neural Circuits.

The impact of the distribution of isoforms on CaMKII activation

Anders Lansner, Jeanette Kotaleski, Malin Sandström, 2006, Neurocomputing.

Derivation of a reversible Hill equation with modifiers affecting catalytic properties

A. Lansner, P. Westermark, Jeanette Kotaleski, 2004 .

Anisotropic connectivity implements motion-based prediction in a spiking neural network

Anders Lansner, Guillaume S. Masson, Laurent U. Perrinet, 2013, Front. Comput. Neurosci..

The Effects of the Allergen Mala s 11 , from the Opportunistic Yeast Malassezia , on Antigen Presenting Cells

A. Lansner, M. Vilhelmsson, 2004 .

Bistable, Irregular Firing and Population Oscillations in a Modular Attractor Memory Network

Anders Lansner, Albert Compte, Mikael Lundqvist, 2010, PLoS Comput. Biol..

An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity

Anders Lansner, Florian Fiebig, Pawel Herman, 2018, eNeuro.

Fast Hebbian Plasticity explains Working Memory and Neural Binding

Anders Lansner, Florian Fiebig, Pawel Herman, 2018 .

Attractor Hypothesis of Associative Cortex: Insights from a Biophysically Detailed Network Model

Anders Lansner, Mikael Lundqvist, Pawel Herman, 2017 .

A mathematical model of the Pyrosequencing reaction system.

A. Lansner, J. Kotaleski, P. Nyrén, 2004, Biophysical chemistry.

A Bayesian neural network method for adverse drug reaction signal generation

A. Bate, M. Lindquist, I. R. Edwards, 1998, European Journal of Clinical Pharmacology.

Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models

Anders Lansner, Stefano Panzeri, Alberto Mazzoni, 2015, PLoS Comput. Biol..

A model of phosphofructokinase and glycolytic oscillations in the pancreatic beta-cell.

Anders Lansner, A. Lansner, P. Westermark, 2003, Biophysical journal.

Memory Consolidation in Artificial Neural Networks

A. Lansner, Sara Abrahamsson, Axel Liljencrantz, 2003 .

Trangenic Mice expressing Excess Dynorphin in Specific Tissues

A. Lansner, L. Terenius, S. Landgren, 2005 .

Stimulus detection rate and latency, firing rates and 1–40Hz oscillatory power are modulated by infra-slow fluctuations in a bistable attractor network model

Anders Lansner, David Silverstein, J. Matias Palva, 2013, NeuroImage.

BCPNN Implemented with Fixed-Point Arithmetic

Anders Lansner, Christopher Johansson, A. Lansner, 2004 .

A model of cortical associative memory based on a horizontal network of connected columns.

E Fransén, A Lansner, A. Lansner, 1998, Network.

Nested theta to gamma oscillations and precise spatiotemporal firing during memory retrieval in a simulated attractor network

Anders Lansner, Mikael Lundqvist, A. Lansner, 2013, Brain Research.

Variability of spike firing during theta-coupled replay of memories in a simulated attractor network

Anders Lansner, Mikael Lundqvist, Pawel Herman, 2012, Brain Research.

Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model

Anders Lansner, Pawel Andrzej Herman, Mikael Lundqvist, 2011, Journal of Cognitive Neuroscience.

Attractor Network Models of Cortical Associative Memory

Anders Lansner, Erik Fransén, A. Lansner, 1997, BCEC.

A computer based model for realistic simulations of neural networks. I. The single neuron and synaptic interaction.

S. Grillner, P. Wallén, A. Lansner, 1991, Biological cybernetics.

Modeling of Substance P and 5-HT Induced Synaptic Plasticity in the Lamprey Spinal CPG: Consequences for Network Pattern Generation

Anders Lansner, Jeanette Kotaleski, Erik Aurell, 2001, Journal of Computational Neuroscience.

Modulation of Burst Frequency by Calcium-Dependent Potassium Channels in the Lamprey Locomotor System: Dependence of the Activity Level

Anders Lansner, Jesper Tegnér, Sten Grillner, 1998, Journal of Computational Neuroscience.

Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey

Anders Lansner, Jeanette Kotaleski, Sten Grillner, 1999, Biological Cybernetics.

Optimizing BCPNN Learning Rule for Memory Access

Yu Yang, Ahmed Hemani, Anders Lansner, 2020, Frontiers in Neuroscience.

A Higher order Bayesian Neural Network with Spiking Units

Anders Lansner, Anders Holst, A. Lansner, 1996, Int. J. Neural Syst..

Probabilistic associative learning suffices for learning the temporal structure of multiple sequences

Anders Lansner, Pawel Herman, Ramon H Martinez, 2019, bioRxiv.

Memory consolidation from seconds to weeks: a three-stage neural network model with autonomous reinstatement dynamics

Anders Lansner, Florian Fiebig, A. Lansner, 2014, Front. Comput. Neurosci..

Simulation of networks of spiking neurons: A review of tools and strategies

Nicholas T. Carnevale, Michael L. Hines, Frederick C. Harris, 2006, Journal of Computational Neuroscience.

A biomimetic approach to machine olfaction, featuring a very large-scale chemical sensor array and embedded neuro-bio-inspired computation

R. Beccherelli, K. Persaud, A. Gutiérrez-Gálvez, 2014 .

Is Attentional Blink a Byproduct of Neocortical Attractors?

Anders Lansner, David Silverstein, A. Lansner, 2011, Front. Comput. Neurosci..

Action selection performance of a reconfigurable basal ganglia inspired model with Hebbian–Bayesian Go-NoGo connectivity

Anders Lansner, Jeanette Hellgren-Kotaleski, Pierre Berthet, 2012, Front. Behav. Neurosci..

Spike-Based Bayesian-Hebbian Learning of Temporal Sequences

Anders Lansner, Matthias H. Hennig, Henrik Lindén, 2016, PLoS Comput. Biol..

Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model

Anders Lansner, Christopher Johansson, A. Lansner, 2007, Neural Computation.

Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator

Anders Lansner, Jesper Tegnér, Jeanette Kotaleski, 1998, Biological Cybernetics.

Significance of modulated adaptation for rhythm generation and inter-segmental co-ordination in lamprey

S. Grillner, A. Lansner, J. Kotaleski, 1998 .

Intersegmental coordination in the lamprey: Simulations using a continuous network model

Anders Lansner, Jeanette Hellgren Kotaleski, S. Grillner, 1996 .

A Bayesian attractor network with incremental learning

A. Lansner, A. Lansner, K. Petersson, 2002 .

Implementing plastic weights in neural networks using low precision arithmetic

Anders Lansner, Christopher Johansson, A. Lansner, 2009, Neurocomputing.

Attractor dynamics in a modular network model of the cerebral cortex

Martin Rehn, Anders Lansner, Mikael Lundqvist, 2006, Neurocomputing.

Attractor neural networks with patchy connectivity

Martin Rehn, Anders Lansner, Christopher Johansson, 2006, ESANN.

Mapping the BCPNN Learning Rule to a Memristor Model

A. Lansner, A. Hemani, P. Herman, 2021, Frontiers in Neuroscience.

Modeling the response of a population of olfactory receptor neurons to an odorant

Anders Lansner, Jeanette Kotaleski, Jean-Pierre Rospars, 2009, Journal of Computational Neuroscience.

The language of smell: Connecting linguistic and psychophysical properties of odor descriptors

Anders Lansner, Jussi Karlgren, Maria Larsson, 2018, Cognition.

A Novel Model-Free Data Analysis Technique Based on Clustering in a Mutual Information Space: Application to Resting-State fMRI

Anders Lansner, Simon Benjaminsson, Peter Fransson, 2010, Front. Syst. Neurosci..

Modeling Dopamine Activity in the Brain with Reinforcement Learning A case study

A. Lansner, 2004 .

Introducing double bouquet cells into a modular cortical associative memory model

Anders Lansner, Nikolaos Chrysanthidis, Florian Fiebig, 2018, Journal of Computational Neuroscience.

A scalable custom simulation machine for the Bayesian Confidence Propagation Neural Network model of the brain

Fabien Clermidy, Anders Lansner, Ahmed Hemani, 2014, 2014 19th Asia and South Pacific Design Automation Conference (ASP-DAC).

Scaling of a biophysical neocortical attractor model using Parallel NEURON on the Blue Gene /P

David Silverstein, Anders Lansner, A. Lansner, 2011, BMC Neuroscience.

Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms

Johannes Schemmel, Karlheinz Meier, Anders Lansner, 2014, PloS one.

Workshop report: 1st INCF Workshop on Large-scale Modeling of the Nervous System

Anders Lansner, Mikael Djurfeldt, A. Lansner, 2007 .

Fast Hebbian plasticity and working memory

A. Lansner, P. Herman, Florian Fiebig, 2023, Current Opinion in Neurobiology.

Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer

Örjan Ekeberg, Martin Rehn, Anders Lansner, 2008, IBM J. Res. Dev..

Attractor Neural Networks with Hypercolumns

Anders Lansner, Anders Sandberg, Christopher Johansson, 2002, ICANN.

Wilfrid Rall: Electrophysiology of a Dendritic Neuron Model

A. Lansner, A. Lansner, 1986 .

Attractor dynamics in a modular network model of neocortex

Martin Rehn, Anders Lansner, Mikael Djurfeldt, 2006, Network.

Massively parallel simulation of brain-scale neuronal network models

Örjan Ekeberg, Martin Rehn, Anders Lansner, 2005 .

A model of cortical associative memory based on Hebbian cell assemblies

Hans Liljenström, Anders Lansner, Erik Fransén, 1994 .

On the Mathematical Iteration Principle and its Application to Chemical Equilibrium Calculations.

A. Lansner, E. Diczfalusy, K. Sandros, 1958 .

Biophysically detailed modelling of microcircuits and beyond

Anders Lansner, Jeanette Hellgren Kotaleski, Erik De Schutter, 2005, Trends in Neurosciences.

On Forgetful Attractor Network Memories

Anders Lansner, Anders Sandberg, Karl Magnus Petersson, 2000, ANNIMAB.

A model of the summation pools within the layer 4 (area 17)

Baran Çürüklü, Anders Lansner, A. Lansner, 2005, Neurocomputing.

Investigating the Correlation Between Marketing Emails and Receivers Using Unsupervised Machine Learning on Limited Data

Anders Lansner, Christoffer Pettersson, A. Lansner, 2016 .

Memristor-Based In-Circuit Computation for Trace-Based STDP

A. Lansner, A. Hemani, Lirong Zheng, 2022, International Conference on Artificial Intelligence Circuits and Systems.

A Memristor Model with Concise Window Function for Spiking Brain-Inspired Computation

Anders Lansner, Ahmed Hemani, Zhuo Zou, 2021, 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Spiking neural networks with Hebbian plasticity for unsupervised representation learning

A. Lansner, P. Herman, Naresh B. Ravichandran, 2023, ArXiv.

A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems

Johannes Schemmel, Karlheinz Meier, Anders Lansner, 2010, Biological Cybernetics.

StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs

Anders Lansner, Stefano Markidis, Artur Podobas, 2021, HEART.

Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network

Anders Lansner, Laurent U. Perrinet, Laurent Udo Perrinet, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Nexa: A scalable neural simulator with integrated analysis

Anders Lansner, Simon Benjaminsson, A. Lansner, 2012, Network.

Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on Supercomputers

Anders Lansner, Markus Diesmann, A. Lansner, 2012 .

Probabilistic associative learning suffices for learning the temporal structure of multiple sequences

A. Lansner, P. Herman, Ramon H. Martinez, 2019, bioRxiv.

Sequence Disambiguation with Synaptic Traces in Associative Neural Networks

Anders Lansner, Pawel Herman, Oskar Kviman, 2019, ICANN.

A modular attractor associative memory with patchy connectivity and weight pruning

Anders Lansner, Cristina Meli, A. Lansner, 2013, Network.

Optimization and Parameter Search of Ion Channel Characteristics

A. Lansner, 2005 .

eBrainII: a 3 kW Realtime Custom 3D DRAM Integrated ASIC Implementation of a Biologically Plausible Model of a Human Scale Cortex

Norbert Wehn, Ahmed Hemani, Yu Yang, 2019, Journal of Signal Processing Systems.

Memory Consolidation from Seconds to Weeks Through Autonomous Reinstatement Dynamics in a Three-Stage Neural Network Model

Anders Lansner, Florian Fiebig, A. Lansner, 2015 .

Using Hidden Markov Models to Model Multiple Transcription Factor Binding

A. Lansner, Örjan Ekeberg, 2006 .

Roles of ionic currents in lamprey CpG neurons: a modeling study.

S. Grillner, P. Wallén, A. Lansner, 2007, Journal of neurophysiology.

Quantitative Assessment of the Local and Long-Range Horizontal Connections within the Striate Cortex

A. Lansner, Baran Cürüclü, 2003 .

Layout and Function of the Intracortical Connections within Layer 4 of Cat Area 17

A. Lansner, Baran Çürüklü, 2003 .

A FPGA-based Hardware Accelerator for Bayesian Confidence Propagation Neural Network

Xiaoming Hu, Anders Lansner, Ahmed Hemani, 2020, 2020 IEEE Nordic Circuits and Systems Conference (NorCAS).

Reducing the computational footprint for real-time BCPNN learning

Anders Lansner, René Schüffny, Johannes Partzsch, 2015, Front. Neurosci..

Biological evaluation of a Hebbian-Bayesian learning rule

Anders Lansner, Niclas Wahlgren, A. Lansner, 2001, Neurocomputing.

Production of phase lag in chains of neural networks oscillating through an escape mechanism

Anders Lansner, Jeanette Hellgren Kotaleski, Sten Grillner, 1998 .

From ANN to Biomimetic Information Processing

Anders Lansner, Simon Benjaminsson, Christopher Johansson, 2009 .

Brain-like approaches to unsupervised learning of hidden representations - a comparative study pdf

Anders Lansner, Pawel Herman, Naresh Balaji Ravichandran, 2020, ICANN.

Learning representations in Bayesian Confidence Propagation neural networks

Anders Lansner, Pawel Herman, Naresh Balaji Ravichandran, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Exploratory Analysis of the Rat Olfactory Bulb Activity

Agustín Gutiérrez Gálvez, A. Lansner, S. Marco, 2006 .

A Hierarchical Brain Inspired Computing System

Anders Lansner, Christopher Johansson, A. Lansner, 2006 .

An abstract model of the basal ganglia, reward learning and action selection

Anders Lansner, Pierre Berthet, A. Lansner, 2011, BMC Neuroscience.