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The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|May 1, 2023
A Texture Statistics Encoding Model Reveals Hierarchical Feature Selectivity across Human Visual CortexMargaret M Henderson, Michael J Tarr, Leila WehbeTrends in Neurosciences|February 1, 2025
Origins of food selectivity in human visual cortexMargaret M Henderson, Michael J Tarr, Leila WehbePlos One|January 6, 2023
Early experience with low-pass filtered images facilitates visual category learning in a neural network modelOmisa Jinsi, Margaret M Henderson, Michael J TarrPerception|February 9, 2000
What object attributes determine canonical views?V Blanz, M J Tarr, H H BülthoffMachine Learning and Interpretation in Neuroimaging : 4Th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal QC, Canada, December 13, 2014 : Revised Selected Papers. MLINI (Workshop) (4Th : 2014 : Montreal, Quebec)|September 25, 2018
Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source LocalizationYing Yang, Michael J Tarr, Robert E KassVision Research|November 3, 1998
Why the visual recognition system might encode the effects of illuminationM J Tarr, D Kersten, H H BülthoffPlos One|December 30, 2008
Task-specific codes for face recognition: how they shape the neural representation of features for detection and individuationAdrian Nestor, Jean M Vettel, Michael J TarrTrends in Cognitive Sciences|March 7, 2006
Beyond faces and modularity: the power of an expertise frameworkCindy M Bukach, Isabel Gauthier, Michael J TarrHuman Brain Mapping|June 20, 2012
Internal representations for face detection: an application of noise-based image classification to BOLD responsesAdrian Nestor, Jean M Vettel, Michael J TarrJournal of Vision|April 27, 2023
Low-level tuning biases in higher visual cortex reflect the semantic informativeness of visual featuresMargaret M Henderson, Michael J Tarr, Leila WehbePageof 16