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Decoding the visual and subjective contents of the human brain
The potential for human neuroimaging to read out the detailed contents of a person's mental state has yet to be fully explored. We investigated whether the perception of edge orientation, aExpand
Illusions: What you see is what you hear
Vision is believed to dominate our multisensory perception of the world. Here we overturn this established view by showing that auditory information can qualitatively alter the perception of anExpand
Visual illusion induced by sound.
We present the first cross-modal modification of visual perception which involves a phenomenological change in the quality-as opposed to a small, gradual, or quantitative change-of the percept of aExpand
Decoding Seen and Attended Motion Directions from Activity in the Human Visual Cortex
Functional neuroimaging has successfully identified brain areas that show greater responses to visual motion and adapted responses to repeated motion directions. However, such methods have beenExpand
Generic decoding of seen and imagined objects using hierarchical visual features
We show that visual features, including those derived from a deep convolutional neural network, can be predicted from fMRI patterns, and that greater accuracy is achieved for low-/high-level features with lower-/higher-level visual areas, respectively. Expand
Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns
We propose a novel linear classification algorithm, called sparse logistic regression (SLR), that automatically selects relevant voxels while estimating their weight parameters for classification. Expand
Visual Image Reconstruction from Human Brain Activity using a Combination of Multiscale Local Image Decoders
We reconstructed visual images by combining local image bases of multiple scales, whose contrasts were independently decoded from fMRI activity by automatically selecting relevant voxels and exploiting their correlated patterns. Expand
Real-time control of a prosthetic hand using human electrocorticography signals.
OBJECT A brain-machine interface (BMI) offers patients with severe motor disabilities greater independence by controlling external devices such as prosthetic arms. Among the available signal sourcesExpand
Sound alters visual evoked potentials in humans
When a single flash is accompanied by two auditory beeps, the single flash is perceived as two flashes. We investigated whether this crossmodal influence on visual perception occurs at the level ofExpand
Spatial smoothing hurts localization but not information: Pitfalls for brain mappers
We show that spatial smoothing does not hurt the information contents of multivoxel patterns. Expand