Running paths to nowhere: repetition of routes shows how navigating ants modulate online the weights accorded to cues
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| Titel: | Running paths to nowhere: repetition of routes shows how navigating ants modulate online the weights accorded to cues |
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| Autoren: | Wystrach, Antoine, Schwarz, Sebastian, Graham, Paul, Cheng, Ken |
| Weitere Verfasser: | Centre de Recherches sur la Cognition Animale - UMR5169 (CRCA), Institut des sciences du cerveau de Toulouse. (ISCT), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre de Biologie Intégrative (CBI), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Nokia Technologies, School of Life Sciences, University of Sussex, Department of Biological Sciences Sydney, Macquarie University |
| Quelle: | ISSN: 1435-9448. |
| Verlagsinformationen: | CCSD Springer Verlag (Germany) |
| Publikationsjahr: | 2019 |
| Bestand: | Université Toulouse 2 - Jean Jaurès: HAL |
| Schlagwörter: | Cue weighting, Desert ant, Mushroom bodies, Path integration, View-based navigation, MESH: Animals, MESH: Ants, MESH: Cues, MESH: Desert Climate, MESH: Homing Behavior, MESH: Learning, MESH: Memory, [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], [SDV.BA]Life Sciences [q-bio]/Animal biology, [SCCO.NEUR]Cognitive science/Neuroscience |
| Beschreibung: | International audience ; Ants are expert navigators, keeping track of the vector to home as they travel, through path integration, and using terrestrial panoramas in view-based navigation. Although insect learning has been much studied, the learning processes in navigation have not received much attention. Here, we investigate in desert ants (Melophorus bagoti) the effects of repeating a well-travelled and familiar route segment without success. We find that re-running a homeward route without entering the nest impacted subsequent trips. Over trips, ants showed more meandering from side to side and more scanning behaviour, in which the ant stopped and turned, rotating to a range of directions. In repeatedly re-running their familiar route, ants eventually gave up heading in the nestward direction as defined by visual cues and turned to walk in the opposite direction. Further manipulations showed that the extent and rate of this path degradation depend on (1) the length of the vector accumulated in the direction opposite to the food-to-nest direction, (2) the specific visual experience of the repeated segment of the route that the ants were forced to re-run, and (3) the visual panorama: paths are more degraded in an open panorama, compared with a visually cluttered scene. The results show that ants dynamically modulate the weighting given to route memories, and that fits well with the recent models, suggesting that the mushroom bodies provide a substrate for the reinforcement learning of views for navigation. |
| Publikationsart: | article in journal/newspaper |
| Sprache: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/pmid/30684062; PUBMED: 30684062 |
| DOI: | 10.1007/s10071-019-01236-7 |
| Verfügbarkeit: | https://hal.science/hal-02370485 https://doi.org/10.1007/s10071-019-01236-7 |
| Dokumentencode: | edsbas.19DF4902 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | International audience ; Ants are expert navigators, keeping track of the vector to home as they travel, through path integration, and using terrestrial panoramas in view-based navigation. Although insect learning has been much studied, the learning processes in navigation have not received much attention. Here, we investigate in desert ants (Melophorus bagoti) the effects of repeating a well-travelled and familiar route segment without success. We find that re-running a homeward route without entering the nest impacted subsequent trips. Over trips, ants showed more meandering from side to side and more scanning behaviour, in which the ant stopped and turned, rotating to a range of directions. In repeatedly re-running their familiar route, ants eventually gave up heading in the nestward direction as defined by visual cues and turned to walk in the opposite direction. Further manipulations showed that the extent and rate of this path degradation depend on (1) the length of the vector accumulated in the direction opposite to the food-to-nest direction, (2) the specific visual experience of the repeated segment of the route that the ants were forced to re-run, and (3) the visual panorama: paths are more degraded in an open panorama, compared with a visually cluttered scene. The results show that ants dynamically modulate the weighting given to route memories, and that fits well with the recent models, suggesting that the mushroom bodies provide a substrate for the reinforcement learning of views for navigation. |
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| DOI: | 10.1007/s10071-019-01236-7 |