Mere exposure to scenes with statistical contingencies in the visual or haptic modality alone allows participants to decompose scenes into object-like multimodal representations.

Perceptual haptic representation of materials emerges from unsupervised learning as a consequence of efficient encoding of the physical signals at the input of tactile sensory system.

Elucidating the contribution of augmented artificial skin-stretch stimulation to the fingertips to the immediate illusion of a higher stiffness and to an increased predictive grip force control.

SI topographic finger maps of older adults show signs of cortical aging but do not show classical hallmarks of cortical de-differentiation.

The motor-relevant properties of the myriad objects with which we interact on a daily basis are encoded in memory using categorical representations, or 'object families'.

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.

A novel deep-learning-based computational method using object recognition to quantify visual context in naturalistic, multimodal stimuli demonstrates that a concept's perceived abstractness or concreteness dynamically depends on its visual context.

The brain obtains and preserves a consistent temporal alignment of multisensory and motor information flowing along staggered streams by maintaining an invariant estimate across modalities of the energy exchanged with the environment at discrete events.

Teaching a tactile alphabet to sighted adults reveals the brain’s unexpected potential for change.

The visually deprived brain processes sensory letter information in tactile areas but perceptual letter information in sighted reading areas, revealing experience-dependent brain plasticity.