Neurorobotic Models of Neurological Disorders: A Mini Review.
artificial neural networks
computational models
neurophysiology
neurorobotics
pathophysiology
robot models
simulation
Journal
Frontiers in neurorobotics
ISSN: 1662-5218
Titre abrégé: Front Neurorobot
Pays: Switzerland
ID NLM: 101477958
Informations de publication
Date de publication:
2021
2021
Historique:
received:
26
11
2020
accepted:
23
02
2021
entrez:
8
4
2021
pubmed:
9
4
2021
medline:
9
4
2021
Statut:
epublish
Résumé
Modeling is widely used in biomedical research to gain insights into pathophysiology and treatment of neurological disorders but existing models, such as animal models and computational models, are limited in generalizability to humans and are restricted in the scope of possible experiments. Robotics offers a potential complementary modeling platform, with advantages such as embodiment and physical environmental interaction yet with easily monitored and adjustable parameters. In this review, we discuss the different types of models used in biomedical research and summarize the existing neurorobotics models of neurological disorders. We detail the pertinent findings of these robot models which would not have been possible through other modeling platforms. We also highlight the existing limitations in a wider uptake of robot models for neurological disorders and suggest future directions for the field.
Identifiants
pubmed: 33828474
doi: 10.3389/fnbot.2021.634045
pmc: PMC8020031
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
634045Informations de copyright
Copyright © 2021 Pronin, Wellacott, Pimentel, Moioli and Vargas.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Références
Neural Netw. 2015 Dec;72:31-47
pubmed: 26604095
Mo Med. 2013 May-Jun;110(3):201-5
pubmed: 23829102
Adapt Behav. 2016 Oct;24(5):267-291
pubmed: 28018120
Nat Rev Dis Primers. 2017 Mar 23;3:17013
pubmed: 28332488
J Cogn Neurosci. 2005 Jan;17(1):51-72
pubmed: 15701239
Front Neurorobot. 2013 Feb 18;7:2
pubmed: 23423881
Front Neurosci. 2019 May 29;13:550
pubmed: 31191237
J Cogn Neurosci. 1997 Mar;9(2):171-90
pubmed: 23962010
J Comput Neurosci. 2016 Apr;40(2):207-29
pubmed: 26867734
J Neurol Neurosurg Psychiatry. 2018 Nov;89(11):1181-1188
pubmed: 29666208
Artif Life. 2005 Winter-Spring;11(1-2):13-29
pubmed: 15811218
Neural Netw. 2013 May;41:147-55
pubmed: 23122490
Trends Neurosci. 1989 Oct;12(10):366-75
pubmed: 2479133
Neural Netw. 2006 Jan;19(1):31-61
pubmed: 16153803
Front Neurorobot. 2010 May 31;4:
pubmed: 20725503
J Neurosci. 2006 Dec 13;26(50):12921-42
pubmed: 17167083
J Physiol Paris. 2009 Sep-Dec;103(3-5):286-95
pubmed: 19665550
Front Hum Neurosci. 2014 May 14;8:302
pubmed: 24860482
Cogn Process. 2016 Aug;17(3):321-8
pubmed: 27018020
Biol Psychiatry. 1994 Jul 1;36(1):5-20
pubmed: 8080903
Front Neurorobot. 2013 Feb 05;7:1
pubmed: 23386829
J R Soc Interface. 2016 Sep;13(122):
pubmed: 27683002
Neurosurgery. 2017 May 1;80(5):N21-N22
pubmed: 28586494
Neuron. 2019 Mar 20;101(6):1042-1056
pubmed: 30897356
PLoS One. 2012;7(7):e41598
pubmed: 22848541
Front Neurorobot. 2017 Jan 25;11:2
pubmed: 28179882
Neural Netw. 2020 Feb;122:338-363
pubmed: 31760370
Comput Psychiatr. 2018 Dec;2:164-182
pubmed: 30627669
Trends Cogn Sci. 2012 Nov;16(11):559-72
pubmed: 23047070
Neural Netw. 2004 Jun-Jul;17(5-6):873-97
pubmed: 15288904
PLoS Med. 2010 Mar 30;7(3):e1000245
pubmed: 20361020
PLoS One. 2012;7(5):e37843
pubmed: 22666398
PLoS One. 2015 Feb 23;10(2):e0117465
pubmed: 25706744
Front Neurorobot. 2019 Sep 20;13:79
pubmed: 31616276
Biol Cybern. 2000 Jul;83(1):47-59
pubmed: 10933237
Cortex. 2019 Dec;121:362-384
pubmed: 31678683