A functionally ordered visual feature map in the Drosophila brain

Klapoetke, Nathan C.; Nern, Aljoscha; Rogers, Edward M.; Rubin, Gerald M.; Reiser, Michael B.; Card, Gwyneth M

doi:10.1016/j.neuron.2022.02.013

Cited by 57 publications

(103 citation statements)

References 54 publications

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“…These data confirm the GF receives substantial visual inputs from the contralateral eye. As the VPN LC4 and LPLC2 that provide ipsilateral visual input to the GF have small, ipsilaterally restricted receptive fields (Klapoetke. et al, 2022), these data suggest the GF receives contralateral information through an as of yet unidentified commissural pathway.…”

Section: Resultsmentioning

confidence: 99%

“…Outside of the directional C-start responses of telost fish (Domenici et al, 2019), we know very little about the underlying circuit mechanisms for resolving the location of an object approaching on a direct collision course - in particular, how ipsilateral, contralateral or bilateral information are integrated to inform escape decisions. Looming stimuli (the 2D projection of an approaching object) have been used to identify potential collision detecting neurons across species (Dunn et al, 2016; Fotowat et al, 2011; Gabbiani et al, 1999; Liu et al, 2011; Oliva et al, 2014; Sun et al, 1998; von Reyn et al, 2014), and receptive field mapping has been performed on looming responsive retinal ganglion cells (RGC) and visual projections neurons (VPN) in the vertebrate retina and invertebrate optic lobe, respectively (Kerschensteiner, 2022; Klapoetke. et al, 2022; Morimoto et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Directional invariance in the Drosophila giant fiber escape circuit

Jang

Goodman

Reyn

2022

Preprint

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An animals nervous system recognizes visual features regardless of where the visual feature is located. However, the underlying mechanisms that enable location invariant feature detection are not fully understood, particularly when visual feature information contributed by each eye needs to be resolved. Here we investigate directional invariance of looming responses in descending neurons (DN) of Drosophila melanogaster. We find multiple looming responsive DN integrate looming information across both eyes, even though their dendrites are unilateral. One DN in particular, the giant fibers (GF), generates invariant looming responses across approach directions. We confirm visual information propagates to the GF from the contralateral eye through an as of yet unidentified pathway and demonstrate the absence of this pathway alters GF responses to looming stimuli from the ipsilateral eye. Our data highlight a role for bilateral visual integration in generating consistent escape responses that are robust across a wide range of stimulus locations and parameters.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Directional invariance in the Drosophila giant fiber escape circuit

Jang

Goodman

Reyn

2022

Preprint

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“…First, the lobula-plate-to-IPS/GNG pathway seems to control reflexive behaviors such as optomotor response by directly signaling to descending neurons. Second, the optic glomeruli pathway consists of many different channels that appear to encode the shape and velocity of moving objects ( Klapoetke et al, 2022 ). A subset of optic glomeruli connects directly to descending neurons for fast, reflexive actions, whereas the rest influences complex visual behaviors via less direct pathways.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, it remains to be studied how the same visual feature represented by multiple visual structures are combined to lead to a specific action. A recent study demonstrated a topographic map of visual feature sensitivity in OG, at least for a subset of glomeruli ( Klapoetke et al, 2022 ). Studies on the functions of OGs and behaviors have a relatively short history; therefore, it is expected that more interesting roles of OGs will be revealed in future studies.…”

Section: Moving Objects and Associated Behaviorsmentioning

confidence: 99%

From Photons to Behaviors: Neural Implementations of Visual Behaviors in Drosophila

Ryu

Kim

2022

Front. Neurosci.

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Neural implementations of visual behaviors in Drosophila have been dissected intensively in the past couple of decades. The availability of premiere genetic toolkits, behavioral assays in tethered or freely moving conditions, and advances in connectomics have permitted the understanding of the physiological and anatomical details of the nervous system underlying complex visual behaviors. In this review, we describe recent advances on how various features of a visual scene are detected by the Drosophila visual system and how the neural circuits process these signals and elicit an appropriate behavioral response. Special emphasis was laid on the neural circuits that detect visual features such as brightness, color, local motion, optic flow, and translating or approaching visual objects, which would be important for behaviors such as phototaxis, optomotor response, attraction (or aversion) to moving objects, navigation, and visual learning. This review offers an integrative framework for how the fly brain detects visual features and orchestrates an appropriate behavioral response.

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“…the ability to detect an object moving independently of a global background motion signal (Aptekar et al, 2015). Each optic glomerulus receives input from all of the individual cells belonging to a single cell type, resulting in a functional map in the central brain (Klapoetke et al, 2022). Moreover, both stimulation and silencing experiments argue that at least some VPN classes strongly modulate specific visually-guided behaviors (Hindmarsh Sten et al, 2021; Tanaka and Clark, 2020; Tanaka and Clark, 2022).…”

Section: Introductionmentioning

confidence: 99%

Visual and motor signatures of locomotion dynamically shape a population code for feature detection in Drosophila

Turner

Krieger

Pang

et al. 2022

Preprint

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Natural vision is dynamic: as an animal moves, its visual input changes dramatically. How can the visual system reliably extract local features from an input dominated by self-generated signals? In Drosophila, diverse local visual features are represented by a group of projection neurons with distinct tuning properties. Here we describe a connectome-based volumetric imaging strategy to measure visually evoked neural activity across this population. We show that local visual features are jointly represented across the population, and that a shared gain factor improves trial-to-trial coding fidelity. A subset of these neurons, tuned to small objects, is modulated by two independent signals associated with self-movement, a motor-related signal and a visual motion signal. These two inputs adjust the sensitivity of these feature detectors across the locomotor cycle, selectively reducing their gain during saccades and restoring it during intersaccadic intervals. This work reveals a strategy for reliable feature detection during locomotion.

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A functionally ordered visual feature map in the Drosophila brain

Cited by 57 publications

References 54 publications

Directional invariance in the Drosophila giant fiber escape circuit

Directional invariance in the Drosophila giant fiber escape circuit

From Photons to Behaviors: Neural Implementations of Visual Behaviors in Drosophila

Visual and motor signatures of locomotion dynamically shape a population code for feature detection in Drosophila

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