Local shape descriptors for neuron segmentation DOI Creative Commons
Arlo Sheridan, Tri Nguyen, Diptodip Deb

et al.

Nature Methods, Journal Year: 2022, Volume and Issue: 20(2), P. 295 - 303

Published: Dec. 30, 2022

Abstract We present an auxiliary learning task for the problem of neuron segmentation in electron microscopy volumes. The consists prediction local shape descriptors (LSDs), which we combine with conventional voxel-wise direct neighbor affinities boundary detection. capture statistics about to be segmented, such as diameter, elongation, and direction. On a study comparing several existing methods across various specimen, imaging techniques, resolutions, LSDs consistently increases accuracy affinity-based over range metrics. Furthermore, addition promotes on par current state art (flood-filling networks), while being two orders magnitudes more efficient—a critical requirement processing future petabyte-sized datasets.

Language: 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

et al.

eLife, Journal Year: 2021, Volume and Issue: 10

Published: Oct. 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

Language: Английский

Citations

301
Attractor and integrator networks in the brain DOI

Mikail Khona,

Ila Fiete

Nature reviews. Neuroscience, Journal Year: 2022, Volume and Issue: 23(12), P. 744 - 766

Published: Nov. 3, 2022

Language: Английский

Citations

184
Building an allocentric travelling direction signal via vector computation DOI
Cheng Lyu, L. F. Abbott, Gaby Maimon

et al.

Nature, Journal Year: 2021, Volume and Issue: 601(7891), P. 92 - 97

Published: Dec. 15, 2021

Language: Английский

Citations

145
A unifying perspective on neural manifolds and circuits for cognition DOI
Christopher Langdon, Mikhail Genkin, Tatiana A. Engel

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(6), P. 363 - 377

Published: April 13, 2023

Language: Английский

Citations

117
Neurotransmitter classification from electron microscopy images at synaptic sites in Drosophila melanogaster DOI Creative Commons
Nils Eckstein, Alexander Shakeel Bates, Andrew Champion

et al.

Cell, Journal Year: 2024, Volume and Issue: 187(10), P. 2574 - 2594.e23

Published: May 1, 2024

High-resolution electron microscopy of nervous systems has enabled the reconstruction synaptic connectomes. However, we do not know sign for each connection (i.e., whether a is excitatory or inhibitory), which implied by released transmitter. We demonstrate that artificial neural networks can predict transmitter types presynapses from micrographs: network trained to six transmitters (acetylcholine, glutamate, GABA, serotonin, dopamine, octopamine) achieves an accuracy 87% individual synapses, 94% neurons, and 91% known cell across D. melanogaster whole brain. visualize ultrastructural features used prediction, discovering subtle but significant differences between phenotypes. also analyze distributions brain find neurons develop together largely express only one fast-acting GABA). hope our publicly available predictions act as accelerant neuroscientific hypothesis generation fly.

Language: Английский

Citations

115
Converting an allocentric goal into an egocentric steering signal DOI Creative Commons
Peter Mussells Pires, Lingwei Zhang,

Victoria Parache

et al.

Nature, Journal Year: 2024, Volume and Issue: 626(8000), P. 808 - 818

Published: Feb. 7, 2024

Neuronal signals that are relevant for spatial navigation have been described in many species

Language: Английский

Citations

45
Transforming a head direction signal into a goal-oriented steering command DOI Creative Commons
Elena A. Westeinde,

Emily Kellogg,

Paul M. Dawson

et al.

Nature, Journal Year: 2024, Volume and Issue: 626(8000), P. 819 - 826

Published: Feb. 7, 2024

To navigate, we must continuously estimate the direction are headed in, and correct deviations from our goal

Language: Английский

Citations

31
A neural circuit architecture for rapid learning in goal-directed navigation DOI Creative Commons
Chuntao Dan, Brad K. Hulse,

Ramya Kappagantula

et al.

Neuron, Journal Year: 2024, Volume and Issue: 112(15), P. 2581 - 2599.e23

Published: May 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.

Language: Английский

Citations

17
Transcriptional complexity in the insect central complex: single nuclei RNA-sequencing of adult brain neurons derived from type 2 neuroblasts DOI Open Access
Derek Epiney, Gonzalo N Morales Chaya, Noah Dillon

et al.

Published: Feb. 27, 2025

In both invertebrates such as Drosophila and vertebrates mouse or human, the brain contains most diverse population of cell types any tissue. It is generally accepted that transcriptional diversity an early step in generating neuronal glial diversity, followed by establishment a unique gene expression profile determines morphology, connectivity, function. , there are two neural stem cells, called Type 1 (T1) 2 (T2) neuroblasts. contrast to T1 neuroblasts, T2 neuroblasts generate intermediate progenitors (INPs) expand number types. The T2-derived neurons contributes large portion central complex (CX), conserved region plays role sensorimotor integration. Recent work has revealed much connectome CX, but how this assembled remains unclear. Mapping derived from necessary linking assembly adult brain. Here we perform single nuclei RNA sequencing neuroblast-derived glia. We identify clusters containing all known classes glia, male/female enriched, 161 neuron-specific clusters. map neurotransmitter neuropeptide transcription factor combinatorial codes for each cluster (presumptive neuron subtype). This directs functional studies determine whether code specifies distinct type within CX. several columnar subtypes (NPF+ AstA+) closely related Our data support hypothesis represents one few subtypes.

Language: Английский

Citations

2
Neurotransmitter Classification from Electron Microscopy Images at Synaptic Sites in Drosophila Melanogaster DOI Creative Commons
Nils Eckstein, Alexander Shakeel Bates, Andrew Champion

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2020, Volume and Issue: unknown

Published: June 13, 2020

Abstract High-resolution electron microscopy of nervous systems enables the reconstruction connectomes. A key piece missing information from connectomes is synaptic sign. We show that for D. melanogaster , artificial neural networks can predict transmitter type released at synapses micrographs and thus add putative signs to connections. Our network discriminates between six transmitters (acetylcholine, glutamate, GABA, serotonin, dopamine, octopamine) with an average accuracy 87%/94% synapses/entire neurons. developed explainability method reveal which features our using found significant ultrastructural differences classical transmitters. in two characterize morphological connection properties tens thousands neurons classed by predicted expression. find hemilineages largely express only one fastacting among their Furthermore, we different may differ like polarization projection targets.

Language: Английский

Citations

112