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

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 i...

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Main Authors: Alberto Antonietti, Alice Geminiani, Edoardo Negri, Egidio D'Angelo, Claudia Casellato, Alessandra Pedrocchi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Neurorobotics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2022.817948/full
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author Alberto Antonietti
Alberto Antonietti
Alice Geminiani
Edoardo Negri
Edoardo Negri
Egidio D'Angelo
Egidio D'Angelo
Claudia Casellato
Alessandra Pedrocchi
author_facet Alberto Antonietti
Alberto Antonietti
Alice Geminiani
Edoardo Negri
Edoardo Negri
Egidio D'Angelo
Egidio D'Angelo
Claudia Casellato
Alessandra Pedrocchi
author_sort Alberto Antonietti
collection DOAJ
description 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. Eventually, the peripheral whisker system was adequately connected to an adaptive cerebellar network controller. The whole system was able to drive active whisking with learning capability, matching neural correlates of behavior experimentally recorded in mice.
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spelling doaj.art-e4cdf45b1d454c3396b8fe964c99280a2022-12-22T02:29:01ZengFrontiers Media S.A.Frontiers in Neurorobotics1662-52182022-06-011610.3389/fnbot.2022.817948817948Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker SystemAlberto Antonietti0Alberto Antonietti1Alice Geminiani2Edoardo Negri3Edoardo Negri4Egidio D'Angelo5Egidio D'Angelo6Claudia Casellato7Alessandra Pedrocchi8Neurocomputational Laboratory, Department of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyNearlab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, ItalyNeurocomputational Laboratory, Department of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyNeurocomputational Laboratory, Department of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyNearlab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, ItalyNeurocomputational Laboratory, Department of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyBrain Connectivity Center, IRCCS Mondino Foundation, Pavia, ItalyNeurocomputational Laboratory, Department of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyNearlab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, ItalyIt 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. Eventually, the peripheral whisker system was adequately connected to an adaptive cerebellar network controller. The whole system was able to drive active whisking with learning capability, matching neural correlates of behavior experimentally recorded in mice.https://www.frontiersin.org/articles/10.3389/fnbot.2022.817948/fullpoint neuron modelneurorobotic architectureactive whiskingtrigeminal gangliontrigeminal nucleifacial nuclei
spellingShingle Alberto Antonietti
Alberto Antonietti
Alice Geminiani
Edoardo Negri
Edoardo Negri
Egidio D'Angelo
Egidio D'Angelo
Claudia Casellato
Alessandra Pedrocchi
Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System
Frontiers in Neurorobotics
point neuron model
neurorobotic architecture
active whisking
trigeminal ganglion
trigeminal nuclei
facial nuclei
title Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System
title_full Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System
title_fullStr Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System
title_full_unstemmed Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System
title_short Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System
title_sort brain inspired spiking neural network controller for a neurorobotic whisker system
topic point neuron model
neurorobotic architecture
active whisking
trigeminal ganglion
trigeminal nuclei
facial nuclei
url https://www.frontiersin.org/articles/10.3389/fnbot.2022.817948/full
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