A model of cue integration as vector summation in the insect brain DOI Creative Commons
Robert Mitchell, Shahrzad Shaverdian, Marie Dacke

и другие.

Proceedings of the Royal Society B Biological Sciences, Год журнала: 2023, Номер 290(2001)

Опубликована: Июнь 26, 2023

Ball-rolling dung beetles are known to integrate multiple cues in order facilitate their straight-line orientation behaviour. Recent work has suggested that integrated according a vector sum, is, compass represented by vectors and summed give combined estimate. Further, cue weight (vector magnitude) appears be set reliability. This is consistent with the popular Bayesian view of integration: reduce or minimize an agent's uncertainty about external world. Integration believed occur at input insect central complex. Here, we demonstrate model head direction circuit complex, including plasticity synapses, can act as substrate for integration summation. show influence not necessarily driven Finally, present beetle behavioural experiment which, combination simulation, strongly suggests these do We suggest alternative strategy whereby weighted relative contrast, which also explain previous results.

Язык: Английский

A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection DOI Creative Commons
Brad K. Hulse, Hannah Haberkern, Romain Franconville

и другие.

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

Процитировано

301
Whole-brain annotation and multi-connectome cell typing quantifies circuit stereotypy inDrosophila DOI Creative Commons
Philipp Schlegel, Yijie Yin, Alexander Shakeel Bates

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июнь 27, 2023

Abstract The fruit fly Drosophila melanogaster combines surprisingly sophisticated behaviour with a highly tractable nervous system. A large part of the fly’s success as model organism in modern neuroscience stems from concentration collaboratively generated molecular genetic and digital resources. As presented our FlyWire companion paper 1 , this now includes first full brain connectome an adult animal. Here we report systematic hierarchical annotation ∼130,000-neuron including neuronal classes, cell types developmental units (hemilineages). This enables any researcher to navigate huge dataset find systems neurons interest, linked literature through Virtual Fly Brain database 2 . Crucially, resource 4,552 types. 3,094 are rigorous consensus validations previously proposed “hemibrain” 3 In addition, propose 1,458 new types, arising mostly fact that spans whole brain, whereas hemibrain derives subvolume. Comparison showed type counts strong connections were largely stable, but connection weights variable within across animals. Further analysis defined simple heuristics for interpretation: stronger than 10 unitary synapses or providing >1% input target conserved. Some increased variability connectomes: most common mushroom body, required learning memory, is almost twice numerous hemibrain. We evidence functional homeostasis adjustments absolute amount excitatory while maintaining excitation-inhibition ratio. Finally, surprisingly, about one third could not yet be reliably identified connectome. therefore suggest should robust inter-individual variation, namely groups cells quantitatively more similar different other same brain. Joint connectomes demonstrates viability utility definition. Our work defines atlas provides both intellectual framework open source toolchain brain-scale comparative connectomics.

Язык: Английский

Процитировано

84
Neuronal parts list and wiring diagram for a visual system DOI Creative Commons
Arie Matsliah, Szi-chieh Yu, Krzysztof Kruk

и другие.

Nature, Год журнала: 2024, Номер 634(8032), С. 166 - 180

Опубликована: Окт. 2, 2024

Язык: Английский

Процитировано

23
A neural circuit architecture for rapid learning in goal-directed navigation DOI Creative Commons
Chuntao Dan, Brad K. Hulse,

Ramya Kappagantula

и другие.

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

Процитировано

17
A visual pathway for skylight polarization processing in Drosophila DOI Creative Commons
Ben J. Hardcastle, Jaison J. Omoto,

Pratyush Kandimalla

и другие.

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

Процитировано

97
Synaptic targets of photoreceptors specialized to detect color and skylight polarization in Drosophila DOI Creative Commons
Emil Kind, Kit D. Longden, Aljoscha Nern

и другие.

eLife, Год журнала: 2021, Номер 10

Опубликована: Дек. 16, 2021

Color and polarization provide complementary information about the world are detected by specialized photoreceptors. However, downstream neural circuits that process these distinct modalities incompletely understood in any animal. Using electron microscopy, we have systematically reconstructed synaptic targets of photoreceptors to detect color skylight Drosophila, used light microscopy confirm many our findings. We identified known novel selective for different wavelengths or polarized light, followed their projections other areas optic lobes central brain. Our results revealed synapses along photoreceptor axons between brain regions, new pathways lobes, spatially segregated regions. Strikingly, polarization-sensitive dorsal rim area target fewer cell types, lack strong connections lobula, a neuropil involved processing. reconstruction identifies shared wiring modality-specific specializations vision, provides comprehensive view first steps processing inputs.

Язык: Английский

Процитировано

59
Flight-induced compass representation in the monarch butterfly heading network DOI Creative Commons
M. Jerome Beetz, Christian Kraus,

Myriam Franzke

и другие.

Current Biology, Год журнала: 2021, Номер 32(2), С. 338 - 349.e5

Опубликована: Ноя. 24, 2021

Язык: Английский

Процитировано

56
Flexible navigational computations in the Drosophila central complex DOI
Yvette E. Fisher

Current Opinion in Neurobiology, Год журнала: 2022, Номер 73, С. 102514 - 102514

Опубликована: Фев. 19, 2022

Язык: Английский

Процитировано

54
Connectomics and the neural basis of behaviour DOI Creative Commons
Dana S. Galili, Gregory S.X.E. Jefferis, Marta Costa

и другие.

Current Opinion in Insect Science, Год журнала: 2022, Номер 54, С. 100968 - 100968

Опубликована: Сен. 13, 2022

Methods to acquire and process synaptic-resolution electron-microscopy datasets have progressed very rapidly, allowing production annotation of larger, more complete connectomes. More accurate neuronal matching techniques are enriching cell type data with gene expression, neuron activity, behaviour developmental information, providing ways test hypotheses circuit function. In a variety behaviours such as learned innate olfaction, navigation sexual behaviour, connectomics has already revealed interconnected modules hierarchical structure, recurrence integration sensory streams. Comparing individual connectomes determine which features robust variable is one key research area; new work in comparative across development, experience, sex species will establish strong links between connectivity brain

Язык: Английский

Процитировано

43
Visual processing in the fly, from photoreceptors to behavior DOI Creative Commons
Timothy A. Currier, Michelle M. Pang, Thomas R. Clandinin

и другие.

Genetics, Год журнала: 2023, Номер 224(2)

Опубликована: Май 2, 2023

Abstract Originally a genetic model organism, the experimental use of Drosophila melanogaster has grown to include quantitative behavioral analyses, sophisticated perturbations neuronal function, and detailed sensory physiology. A highlight these developments can be seen in context vision, where pioneering studies have uncovered fundamental generalizable principles processing. Here we begin with an overview vision-guided behaviors common methods for probing visual circuits. We then outline anatomy physiology brain regions involved processing, beginning at periphery ending descending motor control. Areas focus contrast motion detection optic lobe, circuits feature selectivity, computations support spatial navigation, contextual associative learning. Finally, look future fly neuroscience discuss promising topics further study.

Язык: Английский

Процитировано

36