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Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments.
Recent advances in Deep convolutional Neural Networks (DNNs) have enabled unprecedentedly accurate computational models of brain representations, and present an exciting opportunity to model diverse cognitive functions....
Discospondylitis in the dog
L Ameel, V Martle, I Gielen, S Van Meervenne, I Van Soens, A Vanhaesebrouck, S Bhatti, S De Decker, M Tshamala, W Paulissen, L Van Ham
Aug 19, 2019
Published by: VLAAMS DIERGEN TIJDS
Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression.
Joseph Mehltretter, Colleen Rollins, David Benrimoh, Robert Fratila, Kelly Perlman, Sonia Israel, Marc Miresco, Marina Wakid, Gustavo Turecki
Feb 04, 2020
Background: Deep learning has utility in predicting differential antidepressant treatment response among patients with major depressive disorder, yet there remains a paucity of research describing how to interpret deep learning...
Visual features as stepping stones toward semantics
Object similarity, in brain representations and conscious perception, must reflect a combination of the visual appearance of the objects on the one hand and the categories the objects belong to on the other. Indeed, visual...
categories features Human inferior temporal cortex Object vision Representational similarity analysis fMRI Adult Brain Brain Mapping Concept Formation Female Humans Image Processing Computer-Assisted Judgment Least-Squares Analysis Magnetic Resonance Imaging Male Models Theoretical Oxygen pattern recognition Visual Photic Stimulation semantics