A connectome and analysis of the adult Drosophila central brain

eLife, Год журнала: 2020, Номер 9

Опубликована: Сен. 3, 2020

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction brain fruit fly Drosophila melanogaster . Improved include procedures to prepare, image, align, segment, find synapses in, proofread such data sets. define cell types, refine computational compartments, provide an exhaustive atlas examples many them novel. detailed consisting neurons their chemical most central brain. make public simplify access, reducing effort needed answer circuit questions, linking defined by our analysis with genetic reagents. Biologically, we examine distributions connection strengths, motifs on different scales, electrical consequences compartmentalization, evidence that maximizing packing density is important criterion in evolution fly’s

Язык: Английский

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The connectome of the adult Drosophila mushroom body provides insights into function

eLife, Год журнала: 2020, Номер 9

Опубликована: Дек. 14, 2020

Making inferences about the computations performed by neuronal circuits from synapse-level connectivity maps is an emerging opportunity in neuroscience. The mushroom body (MB) well positioned for developing and testing such approach due to its conserved architecture, recently completed dense connectome, extensive prior experimental studies of roles learning, memory, activity regulation. Here, we identify new components MB circuit Drosophila, including visual input output neurons (MBONs) with direct connections descending neurons. We find unexpected structure sensory inputs, transfer information different modalities MBONs, modulation that dopaminergic (DANs). provide insights into circuitry used integrate outputs, between central complex inputs DANs, feedback MBONs. Our results a foundation further theoretical work.

Язык: Английский

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Connectomes across development reveal principles of brain maturation

Nature, Год журнала: 2021, Номер 596(7871), С. 257 - 261

Опубликована: Авг. 4, 2021

Язык: Английский

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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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What is a cell type and how to define it?

Cell, Год журнала: 2022, Номер 185(15), С. 2739 - 2755

Опубликована: Июль 1, 2022

Язык: Английский

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A connectomic study of a petascale fragment of human cerebral cortex

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2021, Номер unknown

Опубликована: Май 30, 2021

Abstract We acquired a rapidly preserved human surgical sample from the temporal lobe of cerebral cortex. stained 1 mm 3 volume with heavy metals, embedded it in resin, cut more than 5000 slices at ∼30 nm and imaged these sections using high-speed multibeam scanning electron microscope. used computational methods to render three-dimensional structure containing 57,216 cells, hundreds millions neurites 133.7 million synaptic connections. The 1.4 petabyte microscopy volume, segmented cell parts, blood vessels, myelin, inhibitory excitatory synapses, 104 manually proofread cells are available peruse online . Many interesting unusual features were evident this dataset. Glia outnumbered neurons 2:1 oligodendrocytes most common type volume. Excitatory spiny comprised 69% neuronal population, synapses also majority (76%). drive onto was biased strongly toward excitation (70%) case for interneurons (48%). Despite incompleteness automated segmentation caused by split merge errors, we could automatically generate (and then validate) connections between neuron types both within layers. In studying found that deep layer can be classified into new subsets, based on structural connectivity differences, chandelier not only innervate initial segments as previously described, but each other’s segments. Furthermore, among thousands weak established neuron, there exist rarer highly powerful axonal inputs establish multi-synaptic contacts (up ∼20 synapses) target neurons. Our analysis indicates strong specific, allow small numbers axons have an outsized role activity some their postsynaptic partners.

Язык: Английский

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The connectome of an insect brain

Science, Год журнала: 2023, Номер 379(6636)

Опубликована: Март 10, 2023

Brains contain networks of interconnected neurons and so knowing the network architecture is essential for understanding brain function. We therefore mapped synaptic-resolution connectome an entire insect ( Drosophila larva) with rich behavior, including learning, value computation, action selection, comprising 3016 548,000 synapses. characterized neuron types, hubs, feedforward feedback pathways, as well cross-hemisphere brain-nerve cord interactions. found pervasive multisensory interhemispheric integration, highly recurrent architecture, abundant from descending neurons, multiple novel circuit motifs. The brain’s most circuits comprised input output learning center. Some structural features, multilayer shortcuts nested loops, resembled state-of-the-art deep architectures. identified provides a basis future experimental theoretical studies neural circuits.

Язык: Английский

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Large-scale neural recordings call for new insights to link brain and behavior

Nature Neuroscience, Год журнала: 2022, Номер 25(1), С. 11 - 19

Опубликована: Янв. 1, 2022

Язык: Английский

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Architectures of neuronal circuits

Science, Год журнала: 2021, Номер 373(6559)

Опубликована: Сен. 2, 2021

Although individual neurons are the basic unit of nervous system, they process information by working together in neuronal circuits with specific patterns synaptic connectivity. Here, I review common circuit motifs and architectural plans used diverse brain regions animal species. also consider how these architectures assemble during development might have evolved. Understanding connectivity can implement neural computations will help to bridge huge gap between biology neuron function entire brain, allow us better understand basis behavior, may inspire new advances artificial intelligence.

Язык: Английский

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FlyWire: online community for whole-brain connectomics

Nature Methods, Год журнала: 2021, Номер 19(1), С. 119 - 128

Опубликована: Дек. 23, 2021

Язык: Английский

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