Demystifying brain tumor segmentation networks: interpretability and uncertainty analysis

P Natekar, A Kori, G Krishnamurthi - Frontiers in computational …, 2020 - frontiersin.org
The accurate automatic segmentation of gliomas and its intra-tumoral structures is important
not only for treatment planning but also for follow-up evaluations. Several methods based on …

Global precedence changes by environment: A systematic review and meta-analysis on effect of perceptual field variables on global-local visual processing

Z Rezvani, A Katanforoush, H Pouretemad - Attention, Perception, & …, 2020 - Springer
Perceptual organization and, in particular, visual processing have been debated for many
years. The global precedence effect in local–global visual processing, as introduced by …

[HTML][HTML] Deep neural networks and image classification in biological vision

EC Leek, A Leonardis, D Heinke - Vision Research, 2022 - Elsevier
In this paper we consider recent advances in the use of deep convolutional neural networks
to understanding biological vision. We focus on claims about the plausibility of feedforward …

Bottom–up visual saliency estimation with deep autoencoder-based sparse reconstruction

C Xia, F Qi, G Shi - IEEE transactions on neural networks and …, 2016 - ieeexplore.ieee.org
Research on visual perception indicates that the human visual system is sensitive to center-
surround (CS) contrast in the bottom-up saliency-driven attention process. Different from the …

Navon's classical paradigm concerning local and global processing relates systematically to visual object classification performance

C Gerlach, N Poirel - Scientific reports, 2018 - nature.com
Abstract Forty years ago David Navon tried to tackle a central problem in psychology
concerning the time course of perceptual processing: Do we first see the details (local level) …

Elucidating the role of selective attention, divergent thinking, language abilities, and executive functions in metaphor generation

S Menashe, R Leshem, V Heruti, A Kasirer, T Yair… - Neuropsychologia, 2020 - Elsevier
Metaphoric language is one of the most common expressions of creative cognition in
everyday life. However, the cognitive mechanisms underlying metaphor generation remain …

EEG complexity during mind wandering: A multiscale entropy investigation

K Cnudde, G Kim, WS Murch, TC Handy, AB Protzner… - Neuropsychologia, 2023 - Elsevier
Our attention often drifts away from the ongoing task to task-unrelated thoughts, a
phenomenon commonly referred to as mind wandering. Ample studies dedicated to …

Processing of attentional and emotional stimuli depends on retrospective response of foot pressure: conceptualizing neuron-cognitive distribution in human brain

B Mishra, S Tarai, V Ratre, A Bit - Computers in Biology and Medicine, 2023 - Elsevier
Cognitive function of human brain requires temporal execution of emotional or attentional
tasks, or their inter-dependence influences. Smooth execution of such tasks requires …

[HTML][HTML] A failure to learn object shape geometry: Implications for convolutional neural networks as plausible models of biological vision

D Heinke, P Wachman, W van Zoest, EC Leek - Vision Research, 2021 - Elsevier
Here we examine the plausibility of deep convolutional neural networks (CNNs) as a
theoretical framework for understanding biological vision in the context of image …

Category learning can alter perception and its neural correlates

F Pérez-Gay Juárez, T Sicotte, C Thériault, S Harnad - PloS one, 2019 - journals.plos.org
Learned Categorical Perception (CP) occurs when the members of different categories
come to look more dissimilar (“between-category separation”) and/or members of the same …