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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
|
| Series: | Journal of Robotics |
| Online Access: | http://dx.doi.org/10.1155/2017/8069654 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832545296305881088 |
|---|---|
| author | J. Cuneo L. Barboni N. Blanco M. del Castillo J. Quagliotti |
| author_facet | J. Cuneo L. Barboni N. Blanco M. del Castillo J. Quagliotti |
| author_sort | J. Cuneo |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-3dfdb68c1dda44a8a1ae46468bf5b992 |
| institution | Kabale University |
| issn | 1687-9600 1687-9619 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Robotics |
| spelling | doaj-art-3dfdb68c1dda44a8a1ae46468bf5b9922025-02-03T07:26:09ZengWileyJournal of Robotics1687-96001687-96192017-01-01201710.1155/2017/80696548069654ARM-Cortex M3-Based Two-Wheel Robot for Assessing Grid Cell Model of Medial Entorhinal Cortex: Progress towards Building Robots with Biologically Inspired Navigation-Cognitive MapsJ. Cuneo0L. Barboni1N. Blanco2M. del Castillo3J. Quagliotti4Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Julio Herrera y Reissig 565, 1300 Montevideo, UruguayInstituto de Ingeniería Eléctrica, Facultad de Ingeniería, Julio Herrera y Reissig 565, 1300 Montevideo, UruguayInstituto de Ingeniería Eléctrica, Facultad de Ingeniería, Julio Herrera y Reissig 565, 1300 Montevideo, UruguayInstituto de Ingeniería Eléctrica, Facultad de Ingeniería, Julio Herrera y Reissig 565, 1300 Montevideo, UruguayInstituto de Ingeniería Eléctrica, Facultad de Ingeniería, Julio Herrera y Reissig 565, 1300 Montevideo, UruguayThis 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.http://dx.doi.org/10.1155/2017/8069654 |
| spellingShingle | J. Cuneo L. Barboni N. Blanco M. del Castillo J. Quagliotti 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 |
| 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 |
| url | http://dx.doi.org/10.1155/2017/8069654 |
| work_keys_str_mv | AT jcuneo armcortexm3basedtwowheelrobotforassessinggridcellmodelofmedialentorhinalcortexprogresstowardsbuildingrobotswithbiologicallyinspirednavigationcognitivemaps AT lbarboni armcortexm3basedtwowheelrobotforassessinggridcellmodelofmedialentorhinalcortexprogresstowardsbuildingrobotswithbiologicallyinspirednavigationcognitivemaps AT nblanco armcortexm3basedtwowheelrobotforassessinggridcellmodelofmedialentorhinalcortexprogresstowardsbuildingrobotswithbiologicallyinspirednavigationcognitivemaps AT mdelcastillo armcortexm3basedtwowheelrobotforassessinggridcellmodelofmedialentorhinalcortexprogresstowardsbuildingrobotswithbiologicallyinspirednavigationcognitivemaps AT jquagliotti armcortexm3basedtwowheelrobotforassessinggridcellmodelofmedialentorhinalcortexprogresstowardsbuildingrobotswithbiologicallyinspirednavigationcognitivemaps |