ArticleFrontiers in neuroinformatics2019
A Python Code for Simulating Single Tactile Receptors and the Spiking Responses of Their Afferents.
Article in Frontiers in neuroinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Bio-Inspired Haptic Feedback for Artificial Palpation in Robotic Surgery.IEEE transactions on bio-medical engineering · 2021Article
- A Simplified Model for Simulating Population Responses of Tactile Afferents and Receptors in the Skin.IEEE transactions on bio-medical engineering · 2021Article
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Authors and funding
5 authors.
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Abstract
This work presents a pieces of Python code to rapidly simulate the spiking responses of large numbers of single cutaneous tactile afferents with millisecond precision. To simulate the spike responses of all the major types of cutaneous tactile afferents, we proposed an electromechanical circuit model, in which a two-channel filter was developed to characterize the mechanical selectivity of tactile receptors, and a spike synthesizer was designed to recreate the action potentials evoked in afferents. The parameters of this model were fitted using previous neurophysiological datasets. Several simulation examples were presented in this paper to reproduce action potentials, sensory adaptation, frequency characteristics and spiking timing for each afferent type. The results indicated that the simulated responses matched previous neurophysiological recordings well. The model allows for a real-time reproduction of the spiking responses of about 4,000 tactile units with a timing precision of <6 ms. The current work provides a valuable guidance to designing highly realistic tactile interfaces such as neuroprosthesis and haptic devices.
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