A Python Code for Simulating Single Tactile Receptors and the Spiking Responses of Their Afferents.

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 si

SUBMITTER: Ouyang Q 

PROVIDER: S-EPMC6478814 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature