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Single-unit recordings from cortical neurons in behaving macaque monkeys expose differential aspects of multisensory plasticity across different multisensory areas during visual–vestibular recalibration.

To accurately represent object position in real time, the human visual system predictively encodes the location of moving objects, compensating for the time required for transmission and processing of information.

Learning to reach in the sensorimotor loop, and the required neural dynamics, can be potentially explained by simple principles.

Human subjects actively adjust the acquisition of sense data based on how their bodily cycles alter their senses, i.e., sensing tactile stimuli for longer periods when concurrent physiological signals are present vs. sensing for shorter periods when these are quiescent.

Individual human first-order tactile neurons, those that innervate the mechanoreceptors in the skin, can signal information about edge orientation differences at the limit of what people can feel and across a broad range of speeds relevant for real-world hand use.

Late cataract-treated individuals learn to recalibrate vision for action in the months to years after sight restoration surgery, demonstrating that this ability can develop even in the absence of early pattern vision.

By acting as versatile signal-processors that encode flexible coordinate representations, muscle spindles challenge current widely held views concerning the role of proprioceptors and the peripheral nervous system in sensorimotor function.

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.

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'.

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