Causal interpretation rules for encoding and decoding models in neuroimaging @mpi-is
Causal interpretation rules for encoding and decoding models in neuroimaging @mpi-is
Uploaded June 2015 | Updated September 2026, 1 hour ago
Causal interpretation rules for encoding and decoding models in neuroimaging

S Weichwald, T Meyer, O Özdenizci, B Schölkopf, T Ball, M Grosse-Wentrup

NeuroImage, Volume 110, 2015

visit sweichwald.de/neuroimage2015
doi: dx.doi.org/10.1016/j.neuroimage.2015.01.036

SW, TM, BS, MGW -- Max Planck Institute for Intelligent Systems
OÖ -- Sabanci University
TB -- Bernstein Center Freiburg

We thank James Owers for the great voice-over.
Causal interpretation rules for encoding and decoding models in neuroimagingGaussian Processes Part III - Neil Lawrence - MLSS 2015 TübingenUniversity of Tübingen & IMPRS-ISSoft electrostatic actuators reveal higher efficiency than expectedBayesian Nonparametrics Part I - Tamara Broderick - MLSS 2015 TübingenColor patch could throw self-driving vehicles off trackPangolin the inspiration for medical robotMagnetic Microrobot Swarms Enable Contactless Manipulation of Objects Through Fluidic TorqueMarrying Graphical Models & Deep Learning - Max Welling - MLSS 2017Bayesian Inference Part III - Zoubin Ghahramani - MLSS 2015 TübingenJamming with Magnetic CompositesDistributed Architectures Part 3 - Michael Jordan - MLSS 2017
Max Planck Institute for Intelligent Systems |

Causal interpretation rules for encoding and decoding models in neuroimaging

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