Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System.

ABSTRACT: It is common for animals to use self-generated movements to actively sense the surrounding environment. For instance, rodents rhythmically move their whiskers to explore the space close to their body. The mouse whisker system has become a standard model for studying active sensing and sensorimotor integration through feedback loops. In this work, we developed a bioinspired spiking neural network model of the sensorimotor peripheral whisker system, modeling trigeminal ganglion, trigeminal nuclei, facial nuclei, and central pattern generator neuronal populations. This network was embedded in a virtual mouse robot, exploiting the Human Brain Project's Neurorobotics Platform, a simulation platform offering a virtual environment to develop and test robots driven by brain-inspired controllers. E

SUBMITTER: Antonietti A 

PROVIDER: S-EPMC9234954 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature