1 code implementation • 16 Apr 2021 • Andrew R. Lawrence, Marcus Kaiser, Rui Sampaio, Maksim Sipos
We propose a flexible and simple to use framework for generating time series data, which is aimed at developing, evaluating, and benchmarking time series causal discovery methods.
no code implementations • 12 Apr 2021 • Marcus Kaiser, Maksim Sipos
Causal Discovery methods aim to identify a DAG structure that represents causal relationships from observational data.
1 code implementation • 28 Nov 2019 • Jona Carmon, Jil Heege, Joe H Necus, Thomas W Owen, Gordon Pipa, Marcus Kaiser, Peter N Taylor, Yujiang Wang
In terms of comparability, our results show substantial differences in the structural covariance matrix between data sets of age- and sex-matched healthy human adults.
Neurons and Cognition Quantitative Methods
no code implementations • 15 Oct 2019 • Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor
The proposed framework is combined with new strategies, such as reference adaptation and adaptive local mating, to solve different types of problems.
no code implementations • 6 Mar 2019 • Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos Kollias, Natalio Krasnogor
It is demonstrated with empirical studies that the proposed test suite is more challenging to the dynamic multiobjective optimisation algorithms found in the literature.
no code implementations • 10 Jul 2016 • Roman Bauer, Lukas Breitwieser, Alberto Di Meglio, Leonard Johard, Marcus Kaiser, Marco Manca, Manuel Mazzara, Max Talanov
Computer simulations have become a very powerful tool for scientific research.
no code implementations • 18 Sep 2014 • Richard J. Tomsett, Matt Ainsworth, Alexander Thiele, Mehdi Sanayei, Xing Chen, Alwin Gieselmann, Miles A. Whittington, Mark O. Cunningham, Marcus Kaiser
A VERTEX-based simulation successfully reproduced features of the LFPs from an in vitro multi-electrode array recording of macaque neocortical tissue.