Anders Lansner

According to our database1, Anders Lansner authored at least 80 papers between 1985 and 2022.

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PhD thesis 


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Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition.
CoRR, 2022

CORtEX 2022 Invited Speaker 2: Brain-like machine learning using BCPNN.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve.
Proceedings of the International Joint Conference on Neural Networks, 2022

Memristor-Based In-Circuit Computation for Trace-Based STDP.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs.
Proceedings of the HEART '21: 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2021

Semi-supervised learning with Bayesian Confidence Propagation Neural Network.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Approximate computation of post-synaptic spikes reduces bandwidth to synaptic storage in a model of cortex.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

A Memristor Model with Concise Window Function for Spiking Brain-Inspired Computation.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

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., 2020

A FPGA-based Hardware Accelerator for Bayesian Confidence Propagation Neural Network.
Proceedings of the IEEE Nordic Circuits and Systems Conference, NorCAS 2020, Oslo, 2020

Learning representations in Bayesian Confidence Propagation neural networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Analysis of free recall dynamics of an abstract working memory model.
Proceedings of the 2020 American Control Conference, 2020

Introducing double bouquet cells into a modular cortical associative memory model.
J. Comput. Neurosci., 2019

eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex.
CoRR, 2019

Sequence Disambiguation with Synaptic Traces in Associative Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Pedestrian simulation as multi-objective reinforcement learning.
Proceedings of the 18th International Conference on Intelligent Virtual Agents, 2018

Odor recognition in an attractor network model of the mammalian olfactory cortex.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Spike-Based Bayesian-Hebbian Learning of Temporal Sequences.
PLoS Comput. Biol., 2016

Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models.
PLoS Comput. Biol., 2015

Memory consolidation from seconds to weeks: a three-stage neural network model with autonomous reinstatement dynamics.
Frontiers Comput. Neurosci., 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.
CoRR, 2014

Signature of an anticipatory response in area VI as modeled by a probabilistic model and a spiking neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Spiking brain models: Computation, memory and communication constraints for custom hardware implementation.
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

A scalable custom simulation machine for the Bayesian Confidence Propagation Neural Network model of the brain.
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

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, 2013

Anisotropic connectivity implements motion-based prediction in a spiking neural network.
Frontiers Comput. Neurosci., 2013

Biologically Inspired Computation for Chemical Sensing.
Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model.
J. Cogn. Neurosci., 2011

Is Attentional Blink a Byproduct of Neocortical Attractors?
Frontiers Comput. Neurosci., 2011

A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.
Biol. Cybern., 2011

Bistable, Irregular Firing and Population Oscillations in a Modular Attractor Memory Network.
PLoS Comput. Biol., 2010

Modeling the response of a population of olfactory receptor neurons to an odorant.
J. Comput. Neurosci., 2009

Implementing plastic weights in neural networks using low precision arithmetic.
Neurocomputing, 2009

Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer.
IBM J. Res. Dev., 2008

Large-scale modeling - a tool for conquering the complexity of the brain.
Frontiers Neuroinformatics, 2008

Towards cortex sized artificial neural systems.
Neural Networks, 2007

Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model.
Neural Comput., 2007

Simulation of networks of spiking neurons: A review of tools and strategies.
J. Comput. Neurosci., 2007

Scaling effects in a model of the olfactory bulb.
Neurocomputing, 2007

A hemicord locomotor network of excitatory interneurons: a simulation study.
Biol. Cybern., 2007

The impact of the distribution of isoforms on CaMKII activation.
Neurocomputing, 2006

Attractor dynamics in a modular network model of the cerebral cortex.
Neurocomputing, 2006

Attractor neural networks with patchy connectivity.
Neurocomputing, 2006

Clustering of Stored Memories in an Attractor Network with Local Competition.
Int. J. Neural Syst., 2006

Recognition of handwritten digits using sparse codes generated by local feature extraction methods.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Attractor Memory with Self-organizing Input.
Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2006

A model of the summation pools within the layer 4 (area 17).
Neurocomputing, 2005

Sequence memory with dynamical synapses.
Neurocomputing, 2004

Towards Cortex Sized Artificial Nervous Systems.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Towards Cortex Sized Attractor ANN.
Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2004

Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory.
Theory Biosci., 2003

Burst dynamics under mixed NMDA and AMPA drive in the models of the lamprey spinal CPG.
Neurocomputing, 2003

Role of A-current in lamprey locomotor network neurons.
Neurocomputing, 2003

Effects of short-term synaptic plasticity in a local microcircuit on cell firing.
Neurocomputing, 2003

Synaptic depression as an intrinsic driver of reinstatement dynamics in an attractor network.
Neurocomputing, 2002

Mechanisms for lateral turns in lamprey in response to descending unilateral commands: a modeling study.
Biol. Cybern., 2002

Attractor Neural Networks with Hypercolumns.
Proceedings of the Artificial Neural Networks, 2002

Modeling of Substance P and 5-HT Induced Synaptic Plasticity in the Lamprey Spinal CPG: Consequences for Network Pattern Generation.
J. Comput. Neurosci., 2001

Biological evaluation of a Hebbian-Bayesian learning rule.
Neurocomputing, 2001

Selective enhancement of recall through plasticity modulation in an autoassociative memory.
Neurocomputing, 2001

Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F Neurons.
Proceedings of the Artificial Neural Networks, 2001

A palimpsest memory based on an incremental Bayesian learning rule.
Neurocomputing, 2000

Modeling of plasticity of the synaptic connections in the lamprey spinal CPG - consequences for network behavior.
Neurocomputing, 2000

On Forgetful Attractor Network Memories.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

Control of burst proportion and frequency range by drive-dependent modulation of adaptation.
Neurocomputing, 1999

See - A framework for simulation of biologically detailed and artificial neural networks and systems.
Neurocomputing, 1999

Neural mechanisms potentially contributing to the intersegmental phase lag in lamprey.
Biol. Cybern., 1999

Modulation of Burst Frequency by Calcium-Dependent Potassium Channels in the Lamprey Locomotor System: Dependence of the Activity Level.
J. Comput. Neurosci., 1998

Activity-dependent modulation of adaptation produces a constant burst proportion in a model of the lamprey spinal locomotor generator.
Biol. Cybern., 1998

Self-Orienting with On-Line Learning of Environmental Features.
Adapt. Behav., 1998

Intersegmental coordination in the lamprey: simulations using a network model without segmental boundaries.
Biol. Cybern., 1997

Attractor Network Models of Cortical Associative Memory.
Proceedings of the Biocomputing and emergent computation: Proceedings of BCEC97, 1997

A Higher order Bayesian Neural Network with Spiking Units.
Int. J. Neural Syst., 1996

The Neural Control of Fish Swimming Studied Through Numerical Simulations.
Adapt. Behav., 1995

A Flexible And Fault Tolerant Query-Reply System Based On A Bayesian Neural Network.
Int. J. Neural Syst., 1993

Computer simulation of the segmental neural network generating locomotion in lamprey by using populations of network interneurons.
Biol. Cybern., 1992

A computer based model for realistic simulations of neural networks.
Biol. Cybern., 1991

A One-Layer Feedback Artificial Neural Network with a Bayesian Learning Rule.
Int. J. Neural Syst., 1989

Reliability and Speed of Recall in an Associative Network.
IEEE Trans. Pattern Anal. Mach. Intell., 1985