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Identifying natural images from human brain activity
A challenging goal in neuroscience is to be able to read out, or decode, mental content from brain activity. Recent functional magnetic resonance imaging (fMRI) studies have decoded orientation,Expand
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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
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Bayesian Reconstruction of Natural Images from Human Brain Activity
We present a new Bayesian decoder that uses fMRI signals from early and anterior visual areas to reconstruct complex natural images. Expand
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Encoding and decoding in fMRI
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
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Mental Imagery: Functional Mechanisms and Clinical Applications
Mental imagery research has weathered both disbelief of the phenomenon and inherent methodological limitations. Here we review recent behavioral, brain imaging, and clinical research that hasExpand
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Dynamic Sculpting of Directional Tuning in the Primate Motor Cortex during Three-Dimensional Reaching
In the present study, we investigated how directional tuning of putative pyramidal cells is sharpened by inhibition from neighboring interneurons. First, different functional and electrophysiologicalExpand
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A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes
We test the hypothesis that low-level visual features are encoded in activity generated during mental imagery of complex scenes. Expand
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Natural Scene Statistics Account for the Representation of Scene Categories in Human Visual Cortex
This study provides compelling evidence that the human brain represents scene categories that capture the co-occurrence statistics of objects in the world. Expand
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Resolving Ambiguities of MVPA Using Explicit Models of Representation
We advocate a shift in emphasis within cognitive neuroscience from multivariate pattern analysis (MVPA) to the design and testing of explicit models of neural representation. With such models, itExpand
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Mapping of the preferred direction in the motor cortex
Directional tuning is a basic functional property of cell activity in the motor cortex. Previous work has indicated that cells with similar preferred directions are organized in columns perpendicularExpand
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