Lateral specialization in unilateral spatial neglect: a cognitive robotics model
In this paper, we present the experimental results of an embodied cognitive robotic approach for modelling the human cognitive deficit known as unilateral spatial neglect (USN). To this end, we introduce an artificial neural network architecture designed and trained to control the spatial attentiona...
| Main Authors: | , , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2016
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933727/ |
| id |
pubmed-4933727 |
|---|---|
| recordtype |
oai_dc |
| spelling |
pubmed-49337272016-07-18 Lateral specialization in unilateral spatial neglect: a cognitive robotics model Conti, Daniela Di Nuovo, Santo Cangelosi, Angelo Di Nuovo, Alessandro Short Communication In this paper, we present the experimental results of an embodied cognitive robotic approach for modelling the human cognitive deficit known as unilateral spatial neglect (USN). To this end, we introduce an artificial neural network architecture designed and trained to control the spatial attentional focus of the iCub robotic platform. Like the human brain, the architecture is divided into two hemispheres and it incorporates bio-inspired plasticity mechanisms, which allow the development of the phenomenon of the specialization of the right hemisphere for spatial attention. In this study, we validate the model by replicating a previous experiment with human patients affected by the USN and numerical results show that the robot mimics the behaviours previously exhibited by humans. We also simulated recovery after the damage to compare the performance of each of the two hemispheres as additional validation of the model. Finally, we highlight some possible advantages of modelling cognitive dysfunctions of the human brain by means of robotic platforms, which can supplement traditional approaches for studying spatial impairments in humans. Springer Berlin Heidelberg 2016-03-28 2016 /pmc/articles/PMC4933727/ /pubmed/27018020 http://dx.doi.org/10.1007/s10339-016-0761-x Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Conti, Daniela Di Nuovo, Santo Cangelosi, Angelo Di Nuovo, Alessandro |
| spellingShingle |
Conti, Daniela Di Nuovo, Santo Cangelosi, Angelo Di Nuovo, Alessandro Lateral specialization in unilateral spatial neglect: a cognitive robotics model |
| author_facet |
Conti, Daniela Di Nuovo, Santo Cangelosi, Angelo Di Nuovo, Alessandro |
| author_sort |
Conti, Daniela |
| title |
Lateral specialization in unilateral spatial neglect: a cognitive robotics model |
| title_short |
Lateral specialization in unilateral spatial neglect: a cognitive robotics model |
| title_full |
Lateral specialization in unilateral spatial neglect: a cognitive robotics model |
| title_fullStr |
Lateral specialization in unilateral spatial neglect: a cognitive robotics model |
| title_full_unstemmed |
Lateral specialization in unilateral spatial neglect: a cognitive robotics model |
| title_sort |
lateral specialization in unilateral spatial neglect: a cognitive robotics model |
| description |
In this paper, we present the experimental results of an embodied cognitive robotic approach for modelling the human cognitive deficit known as unilateral spatial neglect (USN). To this end, we introduce an artificial neural network architecture designed and trained to control the spatial attentional focus of the iCub robotic platform. Like the human brain, the architecture is divided into two hemispheres and it incorporates bio-inspired plasticity mechanisms, which allow the development of the phenomenon of the specialization of the right hemisphere for spatial attention. In this study, we validate the model by replicating a previous experiment with human patients affected by the USN and numerical results show that the robot mimics the behaviours previously exhibited by humans. We also simulated recovery after the damage to compare the performance of each of the two hemispheres as additional validation of the model. Finally, we highlight some possible advantages of modelling cognitive dysfunctions of the human brain by means of robotic platforms, which can supplement traditional approaches for studying spatial impairments in humans.
|
| publisher |
Springer Berlin Heidelberg |
| publishDate |
2016 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4933727/ |
| _version_ |
1613604576025378816 |