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05/05/2023
Spiking neural networks with Hebbian plasticity for unsupervised representation learning
We introduce a novel spiking neural network model for learning distribut...
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04/13/2023
Hebbian fast plasticity and working memory
Theories and models of working memory (WM) were at least since the mid-1...
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03/06/2023
Finding metastable skyrmionic structures via a metaheuristic perturbation-driven neural network
Topological magnetic textures observed in experiments can, in principle,...
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12/31/2022
Genetic-tunneling driven energy optimizer for spin systems
A long-standing and difficult problem in, e.g., condensed matter physics...
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06/30/2022
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition
Associative memory has been a prominent candidate for the computation pe...
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03/28/2022
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction
Interventional magnetic resonance imaging (i-MRI) for surgical guidance ...
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06/29/2021
Semi-supervised learning with Bayesian Confidence Propagation Neural Network
Learning internal representations from data using no or few labels is us...
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06/09/2021
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs
The modern deep learning method based on backpropagation has surged in p...
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10/11/2020
Automatic Particle Trajectory Classification in Plasma Simulations
Numerical simulations of plasma flows are crucial for advancing our unde...
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05/06/2020
Brain-like approaches to unsupervised learning of hidden representations – a comparative study
Unsupervised learning of hidden representations has been one of the most...
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03/27/2020
Learning representations in Bayesian Confidence Propagation neural networks
Unsupervised learning of hierarchical representations has been one of th...
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08/15/2019
Automated classification of plasma regions using 3D particle energy distribution
Even though automatic classification and interpretation would be highly ...
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10/06/2018