ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: Progress towards building robots with biologically inspired navigation-cognitive maps
This article presents the implementation and use of a two-wheel autonomous robot and its effectiveness as a tool for studying the recently discovered use of grid cells as part of mammalian’s brains space-mapping circuitry (specifically the medial entorhinal cortex). A proposed discrete-time algorith...
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| Үндсэн зохиолч: | |
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| Бусад зохиолчид: | , , , |
| Формат: | article |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
2017
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| Нөхцлүүд: | |
| Онлайн хандалт: | https://hdl.handle.net/20.500.12008/43491 https://doi.org/10.1155/2017/8069654 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1868890214897811456 |
|---|---|
| author | Cuneo, Javier |
| author2 | Barboni, Leonardo Blanco, Nicolás Castillo, Mariana del Quagliotti, Joaquín |
| author2_role | author author author author |
| author_browse | Barboni, Leonardo Blanco, Nicolás Castillo, Mariana del Cuneo, Javier Quagliotti, Joaquín |
| author_facet | Cuneo, Javier Barboni, Leonardo Blanco, Nicolás Castillo, Mariana del Quagliotti, Joaquín |
| author_role | author |
| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Cuneo, Javier Barboni, Leonardo Blanco, Nicolás Castillo, Mariana del Quagliotti, Joaquín |
| dc.date.none.fl_str_mv | 2017 2024-04-16T16:20:59Z 2024-04-16T16:20:59Z 20240416 |
| dc.identifier.none.fl_str_mv | Cuneo, J, Barboni, L, Blanco, N, Castillo, M del, Quagliotti, J. "ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: progress towards building robots with biologically inspired navigation-cognitive maps" Journal of Robotics, v. 2017, Article ID 8069654, https://doi.org/10.1155/2017/8069654 1687-9600 https://hdl.handle.net/20.500.12008/43491 https://doi.org/10.1155/2017/8069654 1687-9619 |
| dc.language.none.fl_str_mv | en eng |
| dc.publisher.none.fl_str_mv | Hindawi |
| dc.relation.none.fl_str_mv | Journal of Robotics, v. 2017, Article ID 8069654 |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess Licencia Creative Commons Atribución (CC - By) |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.none.fl_str_mv | Electrónica |
| dc.title.none.fl_str_mv | ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: Progress towards building robots with biologically inspired navigation-cognitive maps |
| dc.type.none.fl_str_mv | Artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | This article presents the implementation and use of a two-wheel autonomous robot and its effectiveness as a tool for studying the recently discovered use of grid cells as part of mammalian’s brains space-mapping circuitry (specifically the medial entorhinal cortex). A proposed discrete-time algorithm that emulates the medial entorhinal cortex is programed into the robot. The robot freely explores a limited laboratory area in the manner of a rat or mouse and reports information to a PC, thus enabling research without the use of live individuals. Position coordinate neural maps are achieved as mathematically predicted although for a reduced number of implemented neurons (i.e., 200 neurons). However, this type of computational embedded system (robot’s microcontroller) is found to be insufficient for simulating huge numbers of neurons in real time (as in the medial entorhinal cortex). It is considered that the results of this work provide an insight into achieving an enhanced embedded systems design for emulating and understanding mathematical neural network models to be used as biologically inspired navigation system for robots |
| eu_rights_str_mv | openAccess |
| format | article |
| id | anni_e185edf4f7fbd29ead5e2a5a62cc6f4b |
| identifier_str_mv | Cuneo, J, Barboni, L, Blanco, N, Castillo, M del, Quagliotti, J. "ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: progress towards building robots with biologically inspired navigation-cognitive maps" Journal of Robotics, v. 2017, Article ID 8069654, https://doi.org/10.1155/2017/8069654 1687-9600 1687-9619 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | anni |
| network_name_str | oai-lr-anni |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/43491 |
| publishDate | 2017 |
| publishDateSort | 2017 |
| publisher.none.fl_str_mv | Hindawi |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | Licencia Creative Commons Atribución (CC - By) |
| spelling | ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: Progress towards building robots with biologically inspired navigation-cognitive mapsCuneo, JavierBarboni, LeonardoBlanco, NicolásCastillo, Mariana delQuagliotti, JoaquínElectrónicaThis article presents the implementation and use of a two-wheel autonomous robot and its effectiveness as a tool for studying the recently discovered use of grid cells as part of mammalian’s brains space-mapping circuitry (specifically the medial entorhinal cortex). A proposed discrete-time algorithm that emulates the medial entorhinal cortex is programed into the robot. The robot freely explores a limited laboratory area in the manner of a rat or mouse and reports information to a PC, thus enabling research without the use of live individuals. Position coordinate neural maps are achieved as mathematically predicted although for a reduced number of implemented neurons (i.e., 200 neurons). However, this type of computational embedded system (robot’s microcontroller) is found to be insufficient for simulating huge numbers of neurons in real time (as in the medial entorhinal cortex). It is considered that the results of this work provide an insight into achieving an enhanced embedded systems design for emulating and understanding mathematical neural network models to be used as biologically inspired navigation system for robotsHindawi2024-04-16T16:20:59Z2024-04-16T16:20:59Z201720240416Artículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionCuneo, J, Barboni, L, Blanco, N, Castillo, M del, Quagliotti, J. "ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: progress towards building robots with biologically inspired navigation-cognitive maps" Journal of Robotics, v. 2017, Article ID 8069654, https://doi.org/10.1155/2017/80696541687-9600https://hdl.handle.net/20.500.12008/43491https://doi.org/10.1155/2017/80696541687-9619reponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaenengJournal of Robotics, v. 2017, Article ID 8069654Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución (CC - By)oai:colibri.udelar.edu.uy:20.500.12008/434912026-04-14T10:15:54Z |
| spellingShingle | ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: Progress towards building robots with biologically inspired navigation-cognitive maps Cuneo, Javier Electrónica |
| status_str | publishedVersion |
| title | ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: Progress towards building robots with biologically inspired navigation-cognitive maps |
| title_full | ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: Progress towards building robots with biologically inspired navigation-cognitive maps |
| title_fullStr | ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: Progress towards building robots with biologically inspired navigation-cognitive maps |
| title_full_unstemmed | ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: Progress towards building robots with biologically inspired navigation-cognitive maps |
| title_short | ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: Progress towards building robots with biologically inspired navigation-cognitive maps |
| title_sort | ARM-cortex M3-based two-wheel robot for assessing grid cell model of medial entorhinal cortex: Progress towards building robots with biologically inspired navigation-cognitive maps |
| topic | Electrónica |
| url | https://hdl.handle.net/20.500.12008/43491 https://doi.org/10.1155/2017/8069654 |