27 citations · 28 across the 3 of their papers we have counts for
3 papers
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask
Zineb Senane, Lele Cao, Valentin Leonhard Buchner +6
Time Series Representation Learning (TSRL) focuses on generating informative representations for various Time Series (TS) modeling tasks. Traditional Self-Supervised Learning (SSL)…
Spiking neural networks with Hebbian plasticity for unsupervised representation learning
Naresh Ravichandran, Anders Lansner, Pawel Herman
We introduce a novel spiking neural network model for learning distributed internal representations from data in an unsupervised procedure. We achieved this by transforming the non…
Hebbian fast plasticity and working memory
Anders Lansner, Florian Fiebig, Pawel Herman
Theories and models of working memory (WM) were at least since the mid-1990s dominated by the persistent activity hypothesis. The past decade has seen rising concerns about the sho…