Horizontal-cell like Dm9 neurons in Drosophila modulate photoreceptor output to supply multiple functions in early visual processing DOI Creative Commons
Christopher Schnaitmann,

Manuel Pagni,

Patrik B. Meyer

et al.

Frontiers in Molecular Neuroscience, Journal Year: 2024, Volume and Issue: 17

Published: May 15, 2024

Dm9 neurons in Drosophila have been proposed as functional homologs of horizontal cells the outer retina vertebrates. Here we combine genetic dissection neuronal circuit function, two-photon calcium imaging and inner photoreceptors, immunohistochemical analysis to reveal novel insights into role early visual processing. Our experiments show that receive input from all four types photoreceptor R7p, R7y, R8p, R8y. Histamine released R7/R8 directly inhibits via histamine receptor Ort, outweighs simultaneous histamine-independent excitation by UV-sensitive R7. turn provides inhibitory feedback R7/R8, which is sufficient for color-opponent processing R7 but not R8. Color opponent R8 requires additional synaptic inhibition same ommatidium axo-axonal synapses second HisCl1. Notably, optogenetic prohibits color decreases intracellular terminals. The latter likely results reduced release excitatory glutamate shifts overall sensitivity toward higher light intensities. In summary, our underscore a key suggest regulating adaptation photoreceptors. These findings on are indeed reminiscent versatile functions vertebrate retina.

Language: Английский

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

et al.

Nature, Journal Year: 2024, Volume and Issue: 634(8032), P. 166 - 180

Published: Oct. 2, 2024

Language: Английский

Citations

23
Visual processing in the fly, from photoreceptors to behavior DOI Creative Commons
Timothy A. Currier, Michelle M. Pang, Thomas R. Clandinin

et al.

Genetics, Journal Year: 2023, Volume and Issue: 224(2)

Published: May 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.

Language: Английский

Citations

36
Neuronal “parts list” and wiring diagram for a visual system DOI Creative Commons

Arie Matsliah,

Szi-chieh Yu, Krzysztof Kruk

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 13, 2023

A catalog of neuronal cell types has often been called a "parts list" the brain, and regarded as prerequisite for understanding brain function. In optic lobe

Language: Английский

Citations

17
Different spectral sensitivities of ON- and OFF-motion pathways enhance the detection of approaching color objects in Drosophila DOI Creative Commons
Kit D. Longden, Edward M. Rogers, Aljoscha Nern

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Nov. 24, 2023

Color and motion are used by many species to identify salient objects. They processed largely independently, but color contributes processing in humans, for example, enabling moving colored objects be detected when their luminance matches the background. Here, we demonstrate an unexpected, additional contribution of vision Drosophila. We show that behavioral ON-motion responses more sensitive UV than OFF-motion, cellular pathways connecting UV-sensitive R7 photoreceptors ON OFF-motion-sensitive T4 T5 cells, using neurogenetics calcium imaging. Remarkably, this circuitry enhances detection approaching discs, not green discs with same chromatic contrast, how could generalize systems ON- OFF-motion pathways. Our results provide a computational circuit basis favor saliently

Language: Английский

Citations

17
Heterogeneity of synaptic connectivity in the fly visual system DOI Creative Commons

Jacqueline Cornean,

Sebastian Molina-Obando, Burak Gür

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Feb. 21, 2024

Visual systems are homogeneous structures, where repeating columnar units retinotopically cover the visual field. Each of these columns contain many same neuron types that distinguished by anatomic, genetic and - generally functional properties. However, there exceptions to this rule. In 800 Drosophila eye, is an anatomically genetically identifiable cell type with variable properties, Tm9. Since anatomical connectivity shapes neuronal we identified presynaptic inputs several hundred Tm9s across both optic lobes using full adult female fly brain (FAFB) electron microscopic dataset FlyWire connectome. Our work shows Tm9 has three major sparsely distributed inputs. This differs from other Tm neurons, which have only one major, more stereotypic than Genetic synapse labeling showed heterogeneous wiring exists individuals. Together, our data argue system uses heterogeneous, circuit properties achieve robust processing.

Language: Английский

Citations

7
Connectome of the lamina reveals the circuit for early color processing in the visual pathway of a butterfly DOI Creative Commons
Atsuko Matsushita, Finlay J. Stewart, Marko Ilić

et al.

Current Biology, Journal Year: 2022, Volume and Issue: 32(10), P. 2291 - 2299.e3

Published: April 18, 2022

Language: Английский

Citations

23
Interaction of “chromatic” and “achromatic” circuits in Drosophila color opponent processing DOI Creative Commons

Manuel Pagni,

Väinö Haikala,

Vitus Oberhauser

et al.

Current Biology, Journal Year: 2021, Volume and Issue: 31(8), P. 1687 - 1698.e4

Published: Feb. 26, 2021

Language: Английский

Citations

29
First-order visual interneurons distribute distinct contrast and luminance information across ON and OFF pathways to achieve stable behavior DOI Creative Commons
Madhura D. Ketkar, Burak Gür, Sebastian Molina-Obando

et al.

eLife, Journal Year: 2022, Volume and Issue: 11

Published: March 9, 2022

The accurate processing of contrast is the basis for all visually guided behaviors. Visual scenes with rapidly changing illumination challenge computation because photoreceptor adaptation not fast enough to compensate such changes. Yet, human perception stable even when visual environment quickly changing, suggesting rapid post receptor luminance gain control. Similarly, in fruit fly Drosophila, control leads invariant behavior moving OFF stimuli. Here, we show that behavioral responses ON stimuli also utilize a gain, and ON-motion depends on inputs from three first-order interneurons L1, L2, L3. Each these neurons encodes differently distributes information asymmetrically across both contrast-selective pathways. Behavioral rely luminance-based correction provided by L1 L3, wherein supports linearly, L3 non-linearly amplifies dim Therefore, are specific pathways but lamina serves as separate layer distinct support varying conditions.

Language: Английский

Citations

22
Multifaceted luminance gain control beyond photoreceptors in Drosophila DOI Creative Commons
Madhura D. Ketkar, Shuai Shao, Julijana Gjorgjieva

et al.

Current Biology, Journal Year: 2023, Volume and Issue: 33(13), P. 2632 - 2645.e6

Published: June 6, 2023

Animals navigating in natural environments must handle vast changes their sensory input. Visual systems, for example, luminance at many timescales, from slow across the day to rapid during active behavior. To maintain luminance-invariant perception, visual systems adapt sensitivity changing different timescales. We demonstrate that gain control photoreceptors alone is insufficient explain invariance both fast and timescales reveal algorithms adjust past fly eye. combined imaging behavioral experiments with computational modeling show downstream of photoreceptors, circuitry taking input single luminance-sensitive neuron type L3 implements This computation bidirectional it prevents underestimation contrasts low overestimation high luminance. An algorithmic model disentangles these multifaceted contributions shows occurs The a nonlinear interaction contrast achieve correction dark-sensitive channel improve detection dim stimuli Together, our work demonstrates how neuronal performs diverse computations implement multiple are together important navigation environments.

Language: Английский

Citations

11
Interneuron diversity and normalization specificity in a visual system DOI Creative Commons
H. Sebastian Seung

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 8, 2024

Abstract Normalization is a fundamental operation in image processing. Convolutional nets have evolved to include large number of normalizations (Ioffe and Szegedy 2015; Ulyanov, Vedaldi, Lempitsky 2016; Wu He 2018), this architectural shift has proved essential for robust computer vision (He et al. Bjorck 2018; Santurkar, Tsipras, Ilyas 2018). Studies biological vision, contrast, invoked just one or few model psychophysical (Mach 1868; Furman 1965; Sperling 1970) physiological (Carandini Heeger 2011; Shin Adesnik 2024) observations that accumulated over century. Here connectomic information (Matsliah 2023) used argue interneurons the fly visual system support with unprecedented specificity. Ten interneuron types distal medulla (Dm) optic lobe, example, appear chiefly spatial normalizations, each which specific single cell type length scale. Another Dm supports normalization features as well space. Two outlier do not at all. Interneuron likely be normalizers are identified only but also all other families lobe. For diversity appears an inevitable consequence specificity normalizations.

Language: Английский

Citations

4