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Identifying natural images from human brain activity
TLDR
A decoding method based on quantitative receptive-field models that characterize the relationship between visual stimuli and fMRI activity in early visual areas is developed and it is suggested that it may soon be possible to reconstruct a picture of a person’s visual experience from measurements of brain activity alone.
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Bayesian Reconstruction of Natural Images from Human Brain Activity
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Encoding and decoding in fMRI
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Topographic Organization in and near Human Visual Area V4
TLDR
Functional magnetic resonance imaging is used to obtain topographic maps from human subjects, using visual stimuli and tasks designed to maximize accuracy of topographical maps of the fovea and parafoveA and to measure the effects of attention on topographicMaps are identified.
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Compressive spatial summation in human visual cortex.
TLDR
This study measured BOLD responses to a systematic set of contrast patterns and discovered systematic deviation from linearity: the data are more accurately explained by a model in which a compressive static nonlinearity is applied after linear spatial summation.
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Quantifying the local tissue volume and composition in individual brains with MRI
TLDR
A quantitative neuroimaging method to estimate the macromolecular tissue volume (MTV), a fundamental measure of brain anatomy, and shows that MTV provides a sensitive measure of disease status in individual patients with multiple sclerosis.
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Attention Reduces Spatial Uncertainty in Human Ventral Temporal Cortex
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Statistics and Data Analysis in MATLAB
TLDR
This chapter explores a simple dataset: one variable, one condition, and the histogram provides a useful summary of a set of data—it shows the distribution of the data.
GLMdenoise: a fast, automated technique for denoising task-based fMRI data
TLDR
This study presents GLMdenoise, a technique that improves signal-to-noise ratio (SNR) by entering noise regressors into a general linear model (GLM) analysis of fMRI data, and presents the Denoise Benchmark (DNB), a public database and architecture for evaluating denoising methods.
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Reward Motivation Enhances Task Coding in Frontoparietal Cortex.
TLDR
The hypothesis that motivation-related enhancement of cognitive control results from improved encoding and representation of task set information coded and maintained in frontoparietal brain regions is strongly supported.
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