The neural signal for skin indentation depth. II. Steady indentations
نویسندگان
چکیده
منابع مشابه
The neural signal for skin indentation depth. II. Steady indentations.
The glabrous skin of the monkey's hand was stimulated with a waveform that indented the skin at a rate of 0.4 mm/sec, held the skin steadily or nearly steadily indented for 12 sec or longer, and then retracted back to the starting position. Recordings were made of activity in single afferent fibers in response to these stimuli. The average discharge frequency of 21 slowly adapting mechanorecept...
متن کاملThe neural signal for skin indentation depth. I. Changing indentations.
Psychophysical tests on human subjects showed that judgments of skin indentation depth made when the fingertip was indented at rates from 0.2 to 16 mm/sec were quite insensitive to changes in indentation velocity. Similar results were obtained on the forearm at indentation velocities of 0.4 to 16 mm/sec. Recordings were made from mechanoreceptors in the monkey's hand that were able to respond o...
متن کاملAnalysis on Pseudo-steady Indentation Creep
Theoretical analysis and finite element (FE) simulation have been carried out for a constant specific load rate (CSLR) indentation creep test. Analytical results indicate that both the representative stress and the indentation strain rate become constant after a transient period. Moreover, the FE simulation reveals that both the contours of equivalent stress and equivalent plastic strain rate u...
متن کاملDepth - sensing instrumented indentation with dual sharp
57 A methodology for interpreting instrumented sharp indentation with dual sharp indenters with different tip apex 58 angles is presented by recourse to computational modeling within the context of finite element analysis. The forward 59 problem predicts an indentation response from a given set of elasto-plastic properties, whereas the reverse analysis 60 seeks to extract elasto-plastic propert...
متن کاملA New Approach for Investigating the Complexity of Short Term EEG Signal Based on Neural Network
Background and purpose: The nonlinear quality of electroencephalography (EEG), like other irregular signals, can be quantified. Some of these values, such as Lyapunovchr('39')s representative, study the signal path divergence and some quantifiers need to reconstruct the signal path but some do not. However, all of these quantifiers require a long signal to quantify the signal complexity. Mate...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Neuroscience
سال: 1983
ISSN: 0270-6474,1529-2401
DOI: 10.1523/jneurosci.03-12-02652.1983