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The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|July 10, 2015
Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral StreamUmut Güçlü, Marcel A J van GervenNeuroimage|January 3, 2016
Increasingly complex representations of natural movies across the dorsal stream are shared between subjectsUmut Güçlü, Marcel A J van GervenPlos Computational Biology|August 8, 2014
Unsupervised feature learning improves prediction of human brain activity in response to natural imagesUmut Güçlü, Marcel A J van GervenNeuroimage|April 21, 2021
Detecting neural state transitions underlying event segmentationLinda Geerligs, Marcel van Gerven, Umut GüçlüFrontiers in Computational Neuroscience|February 25, 2017
Modeling the Dynamics of Human Brain Activity with Recurrent Neural NetworksUmut Güçlü, Marcel A J van GervenImaging Neuroscience (Cambridge, Mass.)|August 13, 2025
The neural basis of event segmentation: Stable features in the environment are reflected by neural statesDjamari Oetringer, Dora Gözükara, Umut Güçlü, et al.Frontiers in Computational Neuroscience|February 18, 2015
Gaussian mixture models and semantic gating improve reconstructions from human brain activitySanne Schoenmakers, Umut Güçlü, Marcel van Gerven, et al.Nature Machine Intelligence|June 26, 2025
Dimensions underlying the representational alignment of deep neural networks with humansFlorian P Mahner, Lukas Muttenthaler, Umut Güçlü, et al.Scientific Data|June 8, 2022
A 10-hour within-participant magnetoencephalography narrative dataset to test models of language comprehensionKristijan Armeni, Umut Güçlü, Marcel van Gerven, et al.Scientific Reports|February 23, 2018
Representations of naturalistic stimulus complexity in early and associative visual and auditory corticesYağmur Güçlütürk, Umut Güçlü, Marcel van Gerven, et al.Pageof 3