Functional analysis data and previous studies on animal training have demonstrated that social interaction with humans can serve as a reinforcer for animals. Yet, some studies have demonstrated that tactile interaction (e.g., patting, petting, or scratching) is less effective or ineffective when compared to food. However, the reinforcement procedures used may account for these discrepancies. The current study investigated whether tactile interaction, in the form of petting and scratching, could be used as a reinforcer to train behaviors to two horses and a mule. First, each equine learned when reinforcement would be available and what behaviors to engage in during reinforcement delivery. Next, a series of shaping steps and a changing-criterion design were used to test whether tactile interaction could be used to shape two new behaviors, stay and come. All three equines completed reinforcement training and met the mastery criteria for training stay and come. These results demonstrate that tactile interaction can be used as a reinforcer to train equines and also suggest that details of the reinforcement delivery process may be an important consideration when tactile interaction is used as a reinforcer.
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http://dx.doi.org/10.1002/jeab.786 | DOI Listing |
Nat Commun
January 2025
Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control, School of Light Industry and Food Engineering, Guangxi University, Nanning, 530004, PR China.
Skin-like sensors capable of detecting multiple stimuli simultaneously have great potential in cutting-edge human-machine interaction. However, realizing multimodal tactile recognition beyond human tactile perception still faces significant challenges. Here, an extreme environments-adaptive multimodal triboelectric sensor was developed, capable of detecting pressure/temperatures beyond the range of human perception.
View Article and Find Full Text PDFSci Rep
December 2024
School of Psychology, University of Birmingham, Birmingham, B15 2TT, UK.
Feeling a texture typically involves sliding the fingers of a hand across that surface or rubbing the surface between the thumb and another digit. Texture signals appear to be integrated across the digits of a hand with perceived roughness at one finger swayed in the direction of texture touched by another finger of the same hand. To date, one study has reported similar integrative effects when the pairs of digits belong to different hands.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
Institute of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.
Brain Stimul
December 2024
Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg 20246, Germany; Hamburg Center of Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistr. 52, Hamburg 20246, Germany.
Background: Previous research has shown that temporal prediction processes are associated with phase resets of low-frequency delta oscillations in a network of parietal, sensory and frontal areas during non-rhythmic sensory stimulation. Transcranial alternating current stimulation (tACS) modulates perceptually relevant brain oscillations in a frequency and phase-specific manner, allowing the assessment of their functional qualities in certain cognitive functions like temporal prediction.
Objective: We addressed the relation between oscillatory activity and temporal prediction by using tACS to manipulate brain activity in a sinusoidal manner.
Biosens Bioelectron
March 2025
Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun, Jilin, 130022, China; The National Key Laboratory of Automotive Chassis Integration and Bionics (ACIB), College of Biological and Agricultural Engineering, Jilin University, Changchun, 130022, China; Institute of Structured and Architected Materials, Liaoning Academy of Materials, Shenyang, 110167, China.
Flexible pressure sensor is a crucial component of tactile sensors and plays an integral role in numerous significant fields. Despite the considerable effort put forth, how to further improve sensitivity with ingenious yet easy-to-manufacture structures and apply them to emerging fields such as structure/materials recognition, human motion monitoring, and human-machine interaction remains a challenge. Here, we develop a highly sensitive flexible capacitive pressure sensor featuring a structured electrode layer with embedded microcracks and a dielectric layer with micro-convex structures, which are combined with an iontronic interface.
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