EMULATING THE FUNCTIONALITY OF RODENTS’ NEUROBIOLOGICAL NAVIGATION AND SPATIAL COGNITION CELLS IN A MOBILE ROBOT
DOI:
https://doi.org/10.47839/ijc.14.2.804Keywords:
Neuron, Spatial Cognition, Proprioceptive Stimuli, Vestibular Stimuli, Salient Distal Cues.Abstract
A unique roving robot navigational system is presented here, which is inspired by rats’ navigational and spatial awareness brain cells. Rodents, as well as all mammalians, are capable of exploring their surroundings when foraging or avoiding predators, and remembering their way home or to the closest known shelter through path integration. This is true for other creatures, but the neural cells involved in accomplishing these tasks have been most notably studied in rats, as they share certain similarities with a human’s brain. The robot built in this study, named ratbot, uses characteristics and interpreted functionalities of the specialized navigational and spatial cognition brain cells, which are primarily found in the hippocampus and entorhinal cortex. These cells are the: place cells, head direction cells, boundary cells, and grid cells, as well as memory used for the storage and access of salient distal cues. Similar to a rat, the ratbot uses path integration to navigate from one waypoint to another. This is accomplished through use of vectors and vector mathematics. Additionally, the ratbot uses a field programmable gate array (FPGA) to emulate grid cell inspired functionality for environment mapping and spatial cognition.References
T. Drage, J. Kalinowski, and T. Braunl, Integration of drive-by-wire with navigation control for a driverless electric race car, Intelligent Transportation Systems Magazine, IEEE, (6) (2014), pp. 23-33.
J. Wang, C. Zhang, Y. Shan, Y. Xu, and S. Wang, Research on key technologies for urban unmanned intelligent vehicle, in Proceedings of the Second WRI Global Congress on Intelligent Systems (GCIS'2010), 2010, pp. 51-54.
M. Gerla, L. Eun-Kyu, G. Pau, and L. Uichin, Internet of vehicles: From intelligent grid to autonomous cars and vehicular clouds, in Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), 2014, 2014, pp. 241-246.
B. Bischoff, N.-T. Duy, F. Streichert, M. Ewert, and A. Knoll, Fusing vision and odometry for accurate indoor robot localization, in Proceedings of the 12th International Conference on Control Automation Robotics & Vision (ICARCV'2012), 2012, pp. 347-352.
A. Elkady, V. Babariya, J. Joy, and T. Sobh, Modular Design and Structure for a Mobile Sensory Platform, in Technological Developments in Networking, Education and Automation, ed: Springer, 2010, pp. 433-441.
B. L. McNaughton, F. P. Battaglia, O. Jensen, E. I. Moser, and M.-B. Moser, Path integration and the neural basis of the 'cognitive map', Nature Reviews Neuroscience, (7) (2006), pp. 663-678.
J. L. Kubie and A. A. Fenton, Heading-vector navigation based on head-direction cells and path integration, Hippocampus, (19) (2009), pp. 456-479.
M. Müller and R. Wehner, Path integration in desert ants, Cataglyphis fortis, in Proceedings of the National Academy of Sciences, (85) (1988), pp. 5287-5290.
N. Burgess and J. O'Keefe, Neuronal computations underlying the firing of place cells and their role in navigation, Hippocampus, (6) (1996), pp. 749-762.
T. Hartley, N. Burgess, C. Lever, F. Cacucci, and J. O'Keefe, Modeling place fields in terms of the cortical inputs to the hippocampus, Hippocampus, (10) (2000), pp. 369-379.
J. O'keefe and D. Conway, Hippocampal place units in the freely moving rat: why they fire where they fire, Experimental Brain Research, (31) (1978), pp. 573-590.
J. O'Keefe and J. Dostrovsky, The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat, Brain research, (34) (1971), pp. 171-175.
T. J. Wills, F. Cacucci, N. Burgess, and J. O'Keefe, Development of the Hippocampal cognitive map in preweanling rats, Science, (328) (2010), pp. 1573-1576.
M. Fyhn, S. Molden, M. P. Witter, E. I. Moser, and M.-B. Moser, Spatial representation in the entorhinal cortex, Science, (305) (2004), pp. 1258-1264.
T. Hafting, M. Fyhn, S. Molden, M.-B. Moser, and E. I. Moser, Microstructure of a spatial map in the entorhinal cortex, Nature, (436) (2005), pp. 801-806.
H. Stensola, T. Stensola, T. Solstad, K. Frøland, M.-B. Moser, and E. I. Moser, The entorhinal grid map is discretized, Nature, (492) (2012), pp. 72-78.
S.-J. Zhang, J. Ye, C. Miao, A. Tsao, I. Cerniauskas, D. Ledergerber, et al., Optogenetic dissection of entorhinal-hippocampal functional connectivity, Science, (340) (2013), pp. 1232627.
J. S. Taube, The head direction signal: origins and sensory-motor integration, Annu. Rev. Neurosci., (30) (2007), pp. 181-207.
J. S. Taube, R. U. Muller, and J. B. Ranck, Head-direction cells recorded from the postsubiculum in freely moving rats. I. Description and quantitative analysis, The Journal of Neuroscience, (10) (1990), pp. 420-435.
C. Darwin, Origin of Certain Instincts, Nature, (7) (1873), pp. 417-418.
H. Mittelstaedt and M.-L. Mittelstaedt, Homing by path integration, in Avian navigation, ed: Springer, 1982, pp. 290-297.
A. Arleo and W. Gerstner, Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity, Biological Cybernetics, (83) (2000), pp. 287-299.
Y. Burak and I. R. Fiete, Accurate path integration in continuous attractor network models of grid cells, PLoS Computational Biology, (5) (2009), p. e1000291.
D. Samu, P. Erős, B. Ujfalussy, and T. Kiss, Robust path integration in the entorhinal grid cell system with hippocampal feed-back, Biological Cybernetics, (101) (2009), pp. 19-34.
J. W. Yeol, An improved position estimation algorithm for localization of mobile robots by sonars, in Proceedings of the Student Conference on Engineering Sciences and Technology SCONEST 2005, 2005, pp. 1-5.
K. Kyoung-Dong, K. Yoon-Gu, A. Jinung, X. Zhi-Guang, and L. Suk-Gyu, Enhanced localization for team robot navigation using compass sensor and USN, in Proceedings of the International Conference on Control Automation and Systems (ICCAS'2010), 2010, pp. 91-95.
P. Stratton, M. Milford, G. Wyeth, and J. Wiles, Using strategic movement to calibrate a neural compass: A spiking network for tracking head direction in rats and robots, PloS one, (6) (2011), p. e25687.
C. F. Doeller, C. Barry, and N. Burgess, Evidence for grid cells in a human memory network, Nature, (463) (2010), pp. 657-661.
D. Bush, C. Barry, and N. Burgess, What do grid cells contribute to place cell firing?, Trends in Neurosciences, (37) (2014), pp. 136-145.
G. T. Sibley, M. H. Rahimi, and G. Sukhatme, Robomote: a tiny mobile robot platform for large-scale ad-hoc sensor networks, in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'02), 2002, pp. 1143-1148.
O. Lahav and D. Mioduser, A blind person's cognitive mapping of new spaces using a haptic virtual environment, Journal of Research in Special Educational Needs, (3) (2003), pp. 172-177.
O. Lahav and D. Mioduser, Haptic-feedback support for cognitive mapping of unknown spaces by people who are blind, International Journal of Human-Computer Studies, (66) (2008), pp. 23-35.
J. Sales, R. Marín, E. Cervera, S. Rodríguez, and J. Pérez, Multi-sensor person following in low-visibility scenarios, Sensors, (10) (2010), pp. 10953-10966.
M. J. Milford, G. F. Wyeth, and D. Prasser, RatSLAM: a hippocampal model for simultaneous localization and mapping, in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'04), 2004, Vol. 1, pp. 403-408.
G. Wyeth and M. Milford, Spatial cognition for robots, IEEE
Robotics & Automation Magazine, (16) (2009), pp. 24-32.
Downloads
Published
How to Cite
Issue
Section
License
International Journal of Computing is an open access journal. Authors who publish with this journal agree to the following terms:• Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
• Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
• Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.