Universal technique for optimization of neural network training parameters: gasoline near infrared data example. - Roman M. Balabin; Ravilya Z. Safieva; Ekaterina I. Lomakina (Neural Comput. Appl., 2009)

Generative Embedding for Model-Based Classification of fMRI Data. - Kay Henning Brodersen; Thomas M. Schofield; Alexander P. Leff; Cheng Soon Ong; Ekaterina I. Lomakina; Joachim M. Buhmann; Klaas E. Stephan (PLoS Comput. Biol., 2011)

Decoding the perception of pain from fMRI using multivariate pattern analysis. - Kay Henning Brodersen; Katja Wiech; Ekaterina I. Lomakina; Chia-shu Lin; Joachim M. Buhmann; Ulrike Bingel; Markus Ploner; Klaas Enno Stephan; Irene Tracey (NeuroImage, 2012)

Inferring on the Intentions of Others by Hierarchical Bayesian Learning. - Andreea Oliviana Diaconescu; Christoph Mathys; Lilian A. E. Weber; Jean Daunizeau; Lars Kasper; Ekaterina I. Lomakina; Ernst Fehr; Klaas E. Stephan (PLoS Comput. Biol., 2014)

Inversion of hierarchical Bayesian models using Gaussian processes. - Ekaterina I. Lomakina; Saee Paliwal; Andreea Oliviana Diaconescu; Kay Henning Brodersen; Eduardo A. Aponte; Joachim M. Buhmann; Klaas E. Stephan (NeuroImage, 2015)

Machine learning in neuroimaging: methodological investigations and applications to fMRI. - Ekaterina I. Lomakina (2015)

Perceived control in bounded-rational decision-making. - Saee Paliwal; Frederike Petzschner; Ekaterina I. Lomakina; Klaas Enno Stephan (CogSci, 2017)

Regression DCM for fMRI. - Stefan Frässle; Ekaterina I. Lomakina; Adeel Razi; Karl J. Friston; Joachim M. Buhmann; Klaas E. Stephan (NeuroImage, 2017)

A generative model of whole-brain effective connectivity. - Stefan Frässle; Ekaterina I. Lomakina; Lars Kasper; Zina M. Manjaly; Alexander P. Leff; Klaas P. Pruessmann; Joachim M. Buhmann; Klaas E. Stephan (NeuroImage, 2018)