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Reconstructing Visual Experiences from Brain Activity Evoked by Natural Movies
Quantitative modeling of human brain activity can provide crucial insights about cortical representations [1, 2] and can form the basis for brain decoding devices [3-5]. Recent functional magneticExpand
A Continuous Semantic Space Describes the Representation of Thousands of Object and Action Categories across the Human Brain
TLDR
We used fMRI to measure human brain activity evoked by natural movies to examine the cortical representation of 1,705 object and action categories. Expand
Encoding and decoding in fMRI
TLDR
We propose a systematic modeling approach that begins by estimating an encoding model for every voxel in a scan and ends by using the estimated encoding models to perform decoding. Expand
A Three-Dimensional Spatiotemporal Receptive Field Model Explains Responses of Area MT Neurons to Naturalistic Movies
Area MT has been an important target for studies of motion processing. However, previous neurophysiological studies of MT have used simple stimuli that do not contain many of the motion signals thatExpand
Attention During Natural Vision Warps Semantic Representation Across the Human Brain
Little is known about how attention changes the cortical representation of sensory information in humans. On the basis of neurophysiological evidence, we hypothesized that attention causes tuningExpand
Accuracy of subspace mapping of spatiotemporal frequency domain visual receptive fields.
TLDR
A recently developed subspace reverse correlation method may be a better replacement for obtaining a selectivity map in a joint orientation and spatial frequency domain at higher resolution efficiently. Expand
Functional Subdomains within Human FFA
The fusiform face area (FFA) is a well-studied human brain region that shows strong activation for faces. In functional MRI studies, FFA is often assumed to be a homogeneous collection of voxels withExpand
Decoding the Semantic Content of Natural Movies from Human Brain Activity
TLDR
We present a decoding algorithm that makes it possible to decode detailed information about the object and action categories present in natural movies from human brain activity signals measured by functional MRI. Expand
Receptive Field Properties of Neurons in the Early Visual Cortex Revealed by Local Spectral Reverse Correlation
We introduce a novel class of white-noise analyses, named local spectral reverse correlation (LSRC), which is capable of revealing various aspects of visual receptive field profiles that wereExpand
Local sensitivity to stimulus orientation and spatial frequency within the receptive fields of neurons in visual area 2 of macaque monkeys.
We used dynamic dense noise stimuli and local spectral reverse correlation methods to reveal the local sensitivities of neurons in visual area 2 (V2) of macaque monkeys to orientation and spatialExpand
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