| Literature DB >> 33828474 |
Savva Pronin1,2, Liam Wellacott1, Jhielson Pimentel1, Renan C Moioli3, Patricia A Vargas1.
Abstract
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.Entities:
Keywords: artificial neural networks; computational models; neurophysiology; neurorobotics; pathophysiology; robot models; simulation
Year: 2021 PMID: 33828474 PMCID: PMC8020031 DOI: 10.3389/fnbot.2021.634045
Source DB: PubMed Journal: Front Neurorobot ISSN: 1662-5218 Impact factor: 2.650