Convolutional neural network-based encoding and decoding of visual object recognition in space and time

K Seeliger, M Fritsche, U Güçlü, S Schoenmakers… - NeuroImage, 2018 - Elsevier
Abstract Representations learned by deep convolutional neural networks (CNNs) for object
recognition are a widely investigated model of the processing hierarchy in the human visual …

Tracking the spatiotemporal neural dynamics of real-world object size and animacy in the human brain

SM Khaligh-Razavi, RM Cichy, D Pantazis… - Journal of cognitive …, 2018 - direct.mit.edu
Animacy and real-world size are properties that describe any object and thus bring basic
order into our perception of the visual world. Here, we investigated how the human brain …

Modality-independent coding of scene categories in prefrontal cortex

Y Jung, B Larsen, DB Walther - Journal of Neuroscience, 2018 - Soc Neuroscience
Natural environments convey information through multiple sensory modalities, all of which
contribute to people's percepts. Although it has been shown that visual or auditory content of …

Prospective motor control obeys to idiosyncratic strategies in autism

A Cavallo, L Romeo, C Ansuini, J Podda, F Battaglia… - Scientific Reports, 2018 - nature.com
Disturbance of primary prospective motor control has been proposed to contribute to faults in
higher mind functions of individuals with autism spectrum disorder, but little research has …

Deep synthesis of realistic medical images: a novel tool in clinical research and training

E Bart, J Hegdé - Frontiers in Neuroinformatics, 2018 - frontiersin.org
Making clinical decisions based on medical images is fundamentally an exercise in
statistical decision-making. This is because in this case, the decision-maker must distinguish …