A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection

eLife, Год журнала: 2021, Номер 10

Опубликована: Окт. 26, 2021

Flexible behaviors over long timescales are thought to engage recurrent neural networks in deep brain regions, which experimentally challenging study. In insects, circuit dynamics a region called the central complex (CX) enable directed locomotion, sleep, and context- experience-dependent spatial navigation. We describe first complete electron microscopy-based connectome of

Язык: Английский

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A neural circuit for wind-guided olfactory navigation

Nature Communications, Год журнала: 2022, Номер 13(1)

Опубликована: Авг. 8, 2022

Abstract To navigate towards a food source, animals frequently combine odor cues about source identity with wind direction location. Where and how these two are integrated to support navigation is unclear. Here we describe pathway the Drosophila fan-shaped body that encodes attractive promotes upwind navigation. We show neurons throughout this encode odor, but not direction. Using connectomics, identify local called h∆C receive input from previously described pathway. exhibit odor-gated, direction-tuned activity, sparse activation of in reproducible direction, activity required for persistent orientation during odor. Based on connectome data, develop computational model showing can promote goal such as an source. Our results suggest processed by separate pathways within goal-directed

Язык: Английский

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A neural circuit architecture for rapid learning in goal-directed navigation

Neuron, Год журнала: 2024, Номер 112(15), С. 2581 - 2599.e23

Опубликована: Май 24, 2024

Anchoring goals to spatial representations enables flexible navigation but is challenging in novel environments when both must be acquired simultaneously. We propose a framework for how Drosophila uses internal of head direction (HD) build goal upon selective thermal reinforcement. show that flies use stochastically generated fixations and directed saccades express heading preferences an operant visual learning paradigm HD neurons are required modify these based on used symmetric setting expose flies' co-evolve the reliability interacting impacts behavior. Finally, we describe rapid new headings may rest behavioral policy whose parameters form genetically encoded circuit architecture. Such evolutionarily structured architectures, which enable rapidly adaptive behavior driven by representations, relevant across species.

Язык: Английский

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A Neural Network for Wind-Guided Compass Navigation

Neuron, Год журнала: 2020, Номер 107(5), С. 924 - 940.e18

Опубликована: Июль 17, 2020

Spatial maps in the brain are most accurate when they linked to external sensory cues. Here, we show that compass Drosophila is direction of wind. Shifting wind rightward rotates as if fly were turning leftward, and vice versa. We describe mechanisms several computations integrate information into compass. First, an intensity-invariant representation computed by comparing left-right mechanosensory signals. Then, signals reformatted reduce coding biases inherent peripheral mechanics, cues brought same circular coordinate system represents visual self-motion Because incorporates both cues, it should enable navigation under conditions where no single cue consistently reliable. These results how local can be transformed a global, multimodal, abstract space.

Язык: Английский

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Mechanisms Underlying the Neural Computation of Head Direction

Annual Review of Neuroscience, Год журнала: 2019, Номер 43(1), С. 31 - 54

Опубликована: Дек. 24, 2019

Many animals use an internal sense of direction to guide their movements through the world. Neurons selective head are thought support this directional and have been found in a diverse range species, from insects primates, highlighting evolutionary importance. Across most head-direction networks share four key properties: unique representation at all times, persistent activity absence movement, integration angular velocity update representation, cues correct drift. The dynamics theorized network structures called ring attractors elegantly account for these properties, but relationship brain circuits is unclear. Here, we review experiments rodents flies that offer insights into potential neural implementations attractor networks. We suggest theory-guided search across model systems biological mechanisms enable such would uncover general principles underlying circuit function.

Язык: Английский

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A visual pathway for skylight polarization processing in Drosophila

eLife, Год журнала: 2021, Номер 10

Опубликована: Март 23, 2021

Many insects use patterns of polarized light in the sky to orient and navigate. Here, we functionally characterize neural circuitry fruit fly, Drosophila melanogaster , that conveys signals from eye central complex, a brain region essential for fly’s sense direction. Neurons tuned angle polarization ultraviolet are found throughout anterior visual pathway, connecting optic lobes with complex via tubercle bulb, homologous organization ‘sky compass’ pathways described other insects. We detail how consistent, map-like tunings peripheral system is transformed into reduced representation suited flexible processing brain. This study identifies computational motifs transformation, enabling mechanistic comparisons multisensory integration navigation brains

Язык: Английский

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A decentralised neural model explaining optimal integration of navigational strategies in insects

eLife, Год журнала: 2020, Номер 9

Опубликована: Июнь 26, 2020

Insect navigation arises from the coordinated action of concurrent guidance systems but neural mechanisms through which each functions, and are then coordinated, remains unknown. We propose that insects require distinct strategies to retrace familiar routes (route-following) directly return novel terrain (homing) using different aspects frequency encoded views processed in pathways. also demonstrate how Central Complex Mushroom Bodies regions insect brain may work tandem coordinate directional output cues a contextually switched ring-attractor inspired by recordings. The resultant unified model reproduces behavioural data series cue conflict experiments realistic animal environments offers testable hypotheses where process visual cues, utilise information they provide their outputs achieve adaptive behaviours observed wild.

Язык: Английский

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The long-distance flight behavior of Drosophila supports an agent-based model for wind-assisted dispersal in insects

Proceedings of the National Academy of Sciences, Год журнала: 2021, Номер 118(17)

Опубликована: Апрель 20, 2021

Significance Flying insects play a vital role in terrestrial ecosystems, and their decline over the past few decades has been implicated collapse of many species that depend upon them for food. By dispersing large distances, transport biomass from one region to another, thus, flight behavior influences ecology on global scale. Our experiments provide key insight into dispersal suggest these animals employ single algorithm is functionally robust both still air under windy conditions. results will make it easier study ecologically important phenomenon long-distance genetic model organism, facilitating identification cellular mechanisms.

Язык: Английский

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Robot navigation as hierarchical active inference

Neural Networks, Год журнала: 2021, Номер 142, С. 192 - 204

Опубликована: Май 10, 2021

Язык: Английский

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A projectome of the bumblebee central complex

eLife, Год журнала: 2021, Номер 10

Опубликована: Сен. 15, 2021

Insects have evolved diverse and remarkable strategies for navigating in various ecologies all over the world. Regardless of species, insects share presence a group morphologically conserved neuropils known collectively as central complex (CX). The CX is navigational center, involved sensory integration coordinated motor activity. Despite fact that our understanding behavior comes predominantly from ants bees, most what we know about underlying neural circuitry such work fruit flies. Here, aim to close this gap, by providing first comprehensive map major columnar neurons their projection patterns bee. We find numerous components circuit appear be highly between fly bee, but also highlight several key differences which are likely important functional ramifications.

Язык: Английский

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