Scene perception in the human brain
Humans are remarkably adept at perceiving and understanding complex real-world scenes.
Uncovering the neural basis of this ability is an important goal of vision science …
Uncovering the neural basis of this ability is an important goal of vision science …
A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence
Extensive sampling of neural activity during rich cognitive phenomena is critical for robust
understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in …
understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in …
Deep learning with convolutional neural networks for EEG decoding and visualization
RT Schirrmeister, JT Springenberg… - Human brain …, 2017 - Wiley Online Library
Deep learning with convolutional neural networks (deep ConvNets) has revolutionized
computer vision through end‐to‐end learning, that is, learning from the raw data. There is …
computer vision through end‐to‐end learning, that is, learning from the raw data. There is …
Contributions of low-and high-level properties to neural processing of visual scenes in the human brain
Visual scene analysis in humans has been characterized by the presence of regions in
extrastriate cortex that are selectively responsive to scenes compared with objects or faces …
extrastriate cortex that are selectively responsive to scenes compared with objects or faces …
The representation of semantic information across human cerebral cortex during listening versus reading is invariant to stimulus modality
An integral part of human language is the capacity to extract meaning from spoken and
written words, but the precise relationship between brain representations of information …
written words, but the precise relationship between brain representations of information …
Decoding the semantic content of natural movies from human brain activity
One crucial test for any quantitative model of the brain is to show that the model can be used
to accurately decode information from evoked brain activity. Several recent neuroimaging …
to accurately decode information from evoked brain activity. Several recent neuroimaging …
[PDF][PDF] Affective value in the predictive mind
S Van de Cruys - 2017 - researchgate.net
Although affective value is fundamental in explanations of behavior, it is still a somewhat
alien concept in cognitive science. It implies a normativity or directionality that mere …
alien concept in cognitive science. It implies a normativity or directionality that mere …
Neural representations of emotion are organized around abstract event features
Research on emotion attribution has tended to focus on the perception of overt expressions
of at most five or six basic emotions. However, our ability to identify others' emotional states …
of at most five or six basic emotions. However, our ability to identify others' emotional states …
Language structure in the brain: A fixation-related fMRI study of syntactic surprisal in reading
How is syntactic analysis implemented by the human brain during language
comprehension? The current study combined methods from computational linguistics …
comprehension? The current study combined methods from computational linguistics …
Decoding brain representations by multimodal learning of neural activity and visual features
This work presents a novel method of exploring human brain-visual representations, with a
view towards replicating these processes in machines. The core idea is to learn plausible …
view towards replicating these processes in machines. The core idea is to learn plausible …