Hollow MXene Sphere-Based Flexible E-Skin for Multiplex Tactile Detection

Author(s):  
Xue-Feng Zhao ◽  
Xiao-Hong Wen ◽  
Shu-Lin Zhong ◽  
Meng-Yang Liu ◽  
Yu-Hang Liu ◽  
...  
Keyword(s):  
2020 ◽  
Author(s):  
Jason He ◽  
Ericka Wodka ◽  
Mark Tommerdahl ◽  
Richard Edden ◽  
Mark Mikkelsen ◽  
...  

Alterations of tactile processing have long been identified in autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). However, the extent to which these alterations are disorder-specific, rather than disorder-general, and how they relate to the core symptoms of each disorder, remains unclear. We measured and compared tactile detection, discrimination and order judgment thresholds between a large sample of children with ASD, ADHD, ASD + ADHD combined and typically developing controls. The pattern of results suggested that while difficulties with tactile detection and order judgement were more common in children with ADHD, difficulties with tactile discrimination were more common in children with ASD. Strikingly, subsequent correlation analyses found that the disorder-specific alterations suggested by the group comparisons were also exclusively related to the core symptoms of each respective disorder. These results suggest that disorder-specific alterations of lower-level sensory processes exist and are specifically related to higher-level clinical symptoms of each disorder.


Cortex ◽  
2020 ◽  
Vol 124 ◽  
pp. 217-223 ◽  
Author(s):  
Edward H.F. de Haan ◽  
Mara Fabri ◽  
H. Chris Dijkerman ◽  
Nicoletta Foschi ◽  
Simona Lattanzi ◽  
...  

2012 ◽  
Vol 25 (0) ◽  
pp. 100 ◽  
Author(s):  
Mario Pannunzi ◽  
Alexis Pérez-Bellido ◽  
Alexandre Pereda Baños ◽  
Joan López-Moliner ◽  
Gustavo Deco ◽  
...  

The level of processing at which different modalities interact to either facilitate or interfere with detection has been a matter of debate for more than half a century. This question has been mainly addressed by means of statistical models (Green, 1958), or by biologically plausible models (Schnupp et al., 2005). One of the most widely accepted statistical frameworks is the signal detection theory (SDT; Green and Swets, 1966) because it provides a straightforward way to assess whether two sensory stimuli are judged independently of one another, that is when the detectability (d′) of the compound stimulus exceeds the Pythagorean sum of the d′ of the components. Here, we question this logic, and propose a different baseline to evaluate integrative effects in multi-stimuli detection tasks based on the probabilistic summation. To this aim, we show how a simple theoretical hypothesis based on probabilistic summation can explain putative multisensory enhancement in an audio-tactile detection task. In addition, we illustrate how to measure integrative effects from multiple stimuli in two experiments, one using a multisensory audio-tactile detection task (Experiment 1) and another with a unimodal double-stimulus auditory detection task (Experiment 2). Results from Experiment 1 replicate extant multisensory detection data, and also refuse the hypothesis that auditory and tactile stimuli integrated into a single percept, leading to any enhancement. In Experiment 2, we further support the probabilistic summation model using a unimodal integration detection task.


2005 ◽  
Vol 94 (2) ◽  
pp. 928-933 ◽  
Author(s):  
James B. Fallon ◽  
David L. Morgan

Stochastic resonance describes a phenomenon whereby the addition of “noise” to the input of a nonlinear system can improve sensitivity. “Fully tuneable stochastic resonance” is a particular form of the phenomenon that requires the matching of two time scales: one being that of the subthreshold periodic stimulus of the system and the other being the noise-induced response of the system. First proposed in 1981, stochastic resonance has been reported in a wide range of biological systems; however, conclusive experimental evidence for fully tuneable stochastic resonance in biological systems is limited. Evidence of fully tuneable stochastic resonance in the response of slowly adapting type I mechanoreceptors in the toad is presented. The results are extended to include the first evidence supporting fully tuneable stochastic resonance in psychophysical experiments, namely tactile detection thresholds, indicating that the human CNS is capable of accessing the improved information available via fully tuneable stochastic resonance.


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