Artificial Sensory Neural Network Systems In article number 2301196, Chun Zhao, Xin Wang, and co-workers develop an artificial sensory neural network system, combining digital-analog bimodal memristor with piezoresistive tactile array, to achieve sensing, information storage, neuromorphic computing, which would demonstrate potential in human-machine interaction, prosthetics, intelligence.

Two questions are addressed in this paper: What can cognitive psychology bring to sensory evaluation? And what can cognitive psychology learn from sensory evaluation? In the first part, I will argue that one important contribution from psychology to sensory evaluation is to interpret flavor as a cognitively unified system made of three anatomically separated systems (smell, taste, and the trige...

A high incidence of sensory processing difficulties exists in children with Autism Spectrum Disorder (ASD) and children with Sensory Modulation Disorder (SMD). This is the first study to directly compare and contrast these clinical disorders. Sympathetic nervous system markers of arousal and reactivity were utilized in a laboratory paradigm that administered a series of sensory challenges acros...

We compared morphometric data on various nerve cells in the human special sensory system using the modified Klüver-Barrera staining method with an extremely minimized shrinkage ratio and an image-analyzer. According to the measurement data of cell-body sizes, we classified nerve cells of the various nerve nuclei in the special sensory system into three groups. These data are of interest to bett...

The capabilities of any sensory system are ultimately constrained by the properties of the sensory neurons: the ability to detect and represent stimuli is limited by noise due to spontaneous activity, and optimal decoding in downstream circuitry must be matched to the nature of the encoding performed at the input. Here, we investigated the firing properties of sensory neurons in the accessory o...