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      Route retracing: way pointing and multiple vector memories in trail-following ants

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          ABSTRACT

          Maintaining positional estimates of goal locations is a fundamental task for navigating animals. Diverse animal groups, including both vertebrates and invertebrates, can accomplish this through path integration. During path integration, navigators integrate movement changes, tracking both distance and direction, to generate a spatial estimate of their start location, or global vector, allowing efficient direct return travel without retracing the outbound route. In ants, path integration is accomplished through the coupling of pedometer and celestial compass estimates. Within path integration, it has been theorized navigators may use multiple vector memories for way pointing. However, in many instances, these navigators may instead be homing via view alignment. Here, we present evidence that trail-following ants can attend to segments of their global vector to retrace their non-straight pheromone trails, without the confound of familiar views. Veromessor pergandei foragers navigate to directionally distinct intermediate sites via path integration by orienting along separate legs of their inbound route at unfamiliar locations, indicating these changes are not triggered by familiar external cues, but by vector state. These findings contrast with path integration as a singular memory estimate in ants and underscore the system's ability to way point to intermediate goals along the inbound route via multiple vector memories, akin to trapline foraging in bees visiting multiple flower patches. We discuss how reliance on non-straight pheromone-marked trails may support attending to separate vectors to remain on the pheromone rather than attempting straight-line shortcuts back to the nest.

          Abstract

          Summary: Trail-following ant foragers navigate to distinct intermediate sites via path integration, underscoring the ability ignore their global vector to way point via multiple vector segment memories.

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          Biostatistical Analysis

          Designed for one/two-semester, junior/graduate-level courses in Biostatistics, Biometry, Quantitative Biology, or Statistics, the latest edition of this best-selling biostatistics text is both comprehensive and easy to read. It provides a broad and practical overview of the statistical analysis methods used by researchers to collect, summarize, analyze, and draw conclusions from biological research data. The Fourth Edition can serve as either an introduction to the discipline for beginning students or a comprehensive procedural reference for today's practitioners.
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            Statistical Analysis of Circular Data

            N. FISHER (1993)
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              An Anatomically Constrained Model for Path Integration in the Bee Brain

              Path integration is a widespread navigational strategy in which directional changes and distance covered are continuously integrated on an outward journey, enabling a straight-line return to home. Bees use vision for this task – a celestial-cue based visual compass, and an optic-flow based visual odometer – but the underlying neural integration mechanisms are unknown. Using intracellular electrophysiology, we show that polarized-light based compass-neurons and optic-flow-based speed-encoding neurons converge in the central complex of the bee brain, and through block-face electron microscopy we identify potential integrator cells. Based on plausible output targets for these cells, we propose a complete circuit for path integration and steering in the central complex, with anatomically-identified neurons suggested for each processing step. The resulting model-circuit is thus fully constrained biologically and provides a functional interpretation for many previously unexplained architectural features of the central complex. Moreover, we show that the receptive fields of the newly discovered speed neurons can support path integration for the holonomic motion (i.e. a ground velocity that is not precisely aligned with body orientation) typical of bee-flight, a feature not captured in any previously proposed model of path integration. In a broader context, the model-circuit presented provides a general mechanism for producing steering signals by comparing current and desired headings – suggesting a more basic function for central-complex connectivity from which path integration may have evolved.
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                Author and article information

                Contributors
                Journal
                J Exp Biol
                J Exp Biol
                JEB
                The Journal of Experimental Biology
                The Company of Biologists Ltd
                0022-0949
                1477-9145
                15 January 2024
                25 January 2024
                25 January 2024
                : 227
                : 2
                : jeb246695
                Affiliations
                [ 1 ]Department of Psychology, University of Alberta , Edmonton, AB, Canada, T6G 2E9
                [ 2 ]School of Natural Sciences, Macquarie University , Sydney, NSW 2109, Australia
                Author notes
                [* ]Author for correspondence ( cody.freas@ 123456mq.edu.au )

                Competing interests

                The authors declare no competing or financial interests.

                Author information
                http://orcid.org/0000-0001-7026-1255
                http://orcid.org/0000-0002-0472-073X
                Article
                JEB246695
                10.1242/jeb.246695
                10906666
                38126715
                b5737115-bad6-4560-92f8-a7b4b07f98c6
                © 2024. Published by The Company of Biologists Ltd

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

                History
                : 2 September 2023
                : 13 December 2023
                Funding
                Funded by: Natural Sciences and Engineering Research Council of Canada, http://dx.doi.org/10.13039/501100000038;
                Award ID: 2020-03
                Award ID: 933
                Funded by: Macquarie University, http://dx.doi.org/10.13039/501100001230;
                Award ID: MQRF0001094
                Categories
                Research Article

                Molecular biology
                celestial compass,trap-lining,waypoints,pheromone trails,veromessor pergandei ants,local vectors

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