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Biorxiv : the Preprint Server for Biology|March 30, 2023
TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch modelsJohnMark Taylor, Nikolaus KriegeskorteScientific Reports|September 1, 2023
Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLensJohnMark Taylor, Nikolaus KriegeskorteFrontiers in Computational Neuroscience|October 23, 2012
Open evaluation: a vision for entirely transparent post-publication peer review and rating for scienceNikolaus KriegeskorteAnnual Review of Vision Science|May 24, 2017
Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information ProcessingNikolaus KriegeskorteNeuroimage|February 2, 2011
Pattern-information analysis: from stimulus decoding to computational-model testingNikolaus KriegeskorteFrontiers in Neuroscience|March 4, 2010
Relating Population-Code Representations between Man, Monkey, and Computational ModelsNikolaus KriegeskortePhilosophical Transactions of the Royal Society of London. Series B, Biological Sciences|August 31, 2016
Inferring brain-computational mechanisms with models of activity measurementsNikolaus Kriegeskorte, Jörn DiedrichsenNature Human Behaviour|September 21, 2021
Capturing the objects of vision with neural networksBenjamin Peters, Nikolaus KriegeskorteAnnual Review of Neuroscience|July 9, 2019
Peeling the Onion of Brain RepresentationsNikolaus Kriegeskorte, Jörn DiedrichsenNeuroimage|September 7, 2007
Analyzing for information, not activation, to exploit high-resolution fMRINikolaus Kriegeskorte, Peter BandettiniPageof 12