Alert button
Picture for Anders Lansner

Anders Lansner

Alert button

Benchmarking Hebbian learning rules for associative memory

Dec 30, 2023
Anders Lansner, Naresh B Ravichandran, Pawel Herman

Viaarxiv icon

Spiking neural networks with Hebbian plasticity for unsupervised representation learning

May 10, 2023
Naresh Ravichandran, Anders Lansner, Pawel Herman

Figure 1 for Spiking neural networks with Hebbian plasticity for unsupervised representation learning
Figure 2 for Spiking neural networks with Hebbian plasticity for unsupervised representation learning
Figure 3 for Spiking neural networks with Hebbian plasticity for unsupervised representation learning
Viaarxiv icon

Hebbian fast plasticity and working memory

Apr 13, 2023
Anders Lansner, Florian Fiebig, Pawel Herman

Figure 1 for Hebbian fast plasticity and working memory
Figure 2 for Hebbian fast plasticity and working memory
Viaarxiv icon

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

Jun 30, 2022
Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman

Figure 1 for Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition
Figure 2 for Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition
Figure 3 for Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition
Figure 4 for Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition
Viaarxiv icon

Semi-supervised learning with Bayesian Confidence Propagation Neural Network

Jun 29, 2021
Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman

Figure 1 for Semi-supervised learning with Bayesian Confidence Propagation Neural Network
Figure 2 for Semi-supervised learning with Bayesian Confidence Propagation Neural Network
Figure 3 for Semi-supervised learning with Bayesian Confidence Propagation Neural Network
Figure 4 for Semi-supervised learning with Bayesian Confidence Propagation Neural Network
Viaarxiv icon

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

Jun 09, 2021
Artur Podobas, Martin Svedin, Steven W. D. Chien, Ivy B. Peng, Naresh Balaji Ravichandran, Pawel Herman, Anders Lansner, Stefano Markidis

Figure 1 for StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs
Figure 2 for StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs
Figure 3 for StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs
Viaarxiv icon

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

May 06, 2020
Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman

Figure 1 for Brain-like approaches to unsupervised learning of hidden representations -- a comparative study
Figure 2 for Brain-like approaches to unsupervised learning of hidden representations -- a comparative study
Figure 3 for Brain-like approaches to unsupervised learning of hidden representations -- a comparative study
Viaarxiv icon

Learning representations in Bayesian Confidence Propagation neural networks

Mar 27, 2020
Naresh Balaji Ravichandran, Anders Lansner, Pawel Herman

Figure 1 for Learning representations in Bayesian Confidence Propagation neural networks
Figure 2 for Learning representations in Bayesian Confidence Propagation neural networks
Figure 3 for Learning representations in Bayesian Confidence Propagation neural networks
Figure 4 for Learning representations in Bayesian Confidence Propagation neural networks
Viaarxiv icon

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

Feb 10, 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

Figure 1 for Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms
Figure 2 for Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms
Figure 3 for Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms
Figure 4 for Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms
Viaarxiv icon