22 citations · 56 across the 13 of their papers we have counts for
13 papers
Items or Relations -- what do Artificial Neural Networks learn?
Renate Krause, Stefan Reimann
What has an Artificial Neural Network (ANN) learned after being successfully trained to solve a task - the set of training items or the relations between them? This question is dif…
A novel HD Computing Algebra: Non-associative superposition of states creating sparse bundles representing order information
Stefan Reimann
Information inflow into a computational system is by a sequence of information items. Cognitive computing, i.e. performing transformations along that sequence, requires to represen…
Computing with Cognitive States
Stefan Reimann
Basic experimental findings about human working memory can be described by an algebra built on high-dimensional binary states, representing information items, and two operations: m…
The class of nonlinear stochastic models as a background for the bursty behavior in financial markets
Vygintas Gontis, Aleksejus Kononovicius, Stefan Reimann
We investigate large changes, bursts, of the continuous stochastic signals, when the exponent of multiplicativity is higher than one. Earlier we have proposed a general nonlinear s…
The Financial Bubble Experiment: Advanced Diagnostics and Forecasts of Bubble Terminations, Volume III
Ryan Woodard, Didier Sornette, Maxim Fedorovsky
This is the third installment of the Financial Bubble Experiment. Here we provide the digital fingerprint of an electronic document in which we identify 27 bubbles in 27 different…
Interplay between positive feedbacks in the generalized CEV process
St. Reimann, V. Gontis, M. Alaburda
The dynamics of the {\em generalized} CEV process is due to an interplay of two feedback mechanisms: State-to-Drift and State-to-Diffusion,…