Browse the search results

The brain continuously updates the learned temporal relationship between motor commands and their associated somatosensory feedback, which determines the perceived intensity and ticklishness of self-touch.

The combination of intraneural microstimulation and 7T fMRI makes it possible to bridge the gap between first-order mechanoreceptive afferent input codes and their spatial, dynamic and perceptual representations in human cortex.

A system to generate ‘remote touch’ in freely behaving mice can be utilized to map behavior caused by precise somatosensory inputs.

The brain continues to represent individual fingers in primary somatosensory cortex decades after the amputation of a hand, indicating that cortical maps do not require ongoing sensory input from the body.

A series of pre-registered psychophysical studies on self-touch tested two opposing models of somatosensory attenuation (cancelation) and enhancement (sharpening) regarding how action affects perception, and revealed that action prediction produces an attenuation, and not an enhancement, of the predicted touch.

Increasing microstimulation frequency in some regions of the human somatosensory cortex decreased the perceived intensity and evoked specific percepts, providing insight into cortical organization and sensory feedback approaches for brain–computer interfaces.

Combining mouse genetic, behavioral, and electrophysiological approaches revealed that a transcription factor is required to shape touch neurons' distal projections in the skin while dispensable for their survival and specification.

Delivering specific patterns of electrical activity to the median nerve of the arm triggers reliable sensations of texture, suggesting that it may ultimately be possible to restore complex tactile information to users of prosthetic limbs.

fMRI results show that despite arm amputation, and varying degrees of phantom sensations, canonical hand representation in primary somatosensory cortex is largely maintained.

Molecular analysis paints a detailed picture of the distinctiveness and complexities of peripheral somatosensory neurons.