ArticleCognitive neurodynamics2019
Neurodynamic analysis of Merkel cell-neurite complex transduction mechanism during tactile sensing.
Article in Cognitive neurodynamics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 19 citations in OpenAlex.
- Dynamics and energy encoding of a star-like neuron network composed of the Wang-Zhang model induced by compressing a sphere into a fingertip.Cognitive neurodynamics · 2026Article
- EEG-based functional connectivity for tactile roughness discrimination.Cognitive neurodynamics · 2023Article
- Complex dynamics of hair bundle of auditory nervous system (II): forced oscillations related to two cases of steady state.Cognitive neurodynamics · 2022Article
- 3D Visual Tracking to Quantify Physical Contact Interactions in Human-to-Human Touch.Frontiers in physiology · 2022Article
- Skin-Nerve Co-Culture Systems for Disease Modeling and Drug Discovery.Tissue engineering. Part C, Methods · 2021Review
- Dynamics of a Large-Scale Spiking Neural Network with Quadratic Integrate-and-Fire Neurons.Neural plasticity · 2021Article
- Ionic channel blockage in stochastic Hodgkin-Huxley neuronal model driven by multiple oscillatory signals.Cognitive neurodynamics · 2020Article
- A flexible artificial intrinsic-synaptic tactile sensory organ.Nature communications · 2020Article
- Subject-Specific Finite Element Modelling of the Human Hand Complex: Muscle-Driven Simulations and Experimental Validation.Annals of biomedical engineering · 2020Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study aimed to identify the mechanism of tactile sensation by analyzing the regularity of the firing pattern of Merkel cell-neurite complex (MCNC) under the stimulation of different compression depths. The fingertips were exposed to the contact pressure of a spherical object to sense external stimuli in this study. The distribution structure of slowly adapting type I (SAI) mechanoreceptors was considered for analyzing the neural coding of tactile stimuli, especially the firing pattern of SAI neural network for perceiving the external stimulation. The numerical simulation results showed that (1) when the skin was pressed by the same sphere and the depth of the pressing finger skin and position of the force application point remained unchanged, the firing rate of the neuron depended on the synergistic effect of the number of receptors connected with the neuron and the distance between the neuron and the force application point. (2) When the fingertip was pressed by the same sphere at a constant depth and the different contact position, the overall firing rate of the MCNC neural network increased with the number of SAI mechanoreceptors in the area where the force application point was located.
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