Compression of dynamic tactile information in the human hand.

摘要: A key problem in the study of senses is to describe how sense organs extract perceptual information from physics environment. We previously observed that dynamic touch elicits mechanical waves propagate throughout hand. Here, we show these produce an efficient encoding tactile information. The computation optimal thousands naturally occurring stimuli yielded a compact lexicon primitive wave patterns sparsely represented entire dataset, enabling interactions be classified with accuracy exceeding 95%. reflected interplay hand anatomy physics. Notably, similar emerged when applied criteria spiking data populations simulated afferents. This finding suggests biomechanics enables processing by effecting preneuronal compression