Abstract:
:A key problem in the study of the senses is to describe how sense organs extract perceptual information from the physics of the environment. We previously observed that dynamic touch elicits mechanical waves that propagate throughout the hand. Here, we show that these waves produce an efficient encoding of tactile information. The computation of an optimal encoding of thousands of naturally occurring tactile stimuli yielded a compact lexicon of primitive wave patterns that sparsely represented the entire dataset, enabling touch interactions to be classified with an accuracy exceeding 95%. The primitive tactile patterns reflected the interplay of hand anatomy with wave physics. Notably, similar patterns emerged when we applied efficient encoding criteria to spiking data from populations of simulated tactile afferents. This finding suggests that the biomechanics of the hand enables efficient perceptual processing by effecting a preneuronal compression of tactile information.
journal_name
Sci Advjournal_title
Science advancesauthors
Shao Y,Hayward V,Visell Ydoi
10.1126/sciadv.aaz1158subject
Has Abstractpub_date
2020-04-15 00:00:00pages
eaaz1158issue
16issn
2375-2548pii
aaz1158journal_volume
6pub_type
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