@article {69633, title = {A Drosophila computational brain model reveals sensorimotor processing.}, journal = {Nature}, volume = {634}, year = {2024}, month = {2024 Oct 02}, pages = {210-219}, abstract = {

The recent assembly of the adult Drosophila melanogaster central brain connectome, containing more than 125,000 neurons and 50 million synaptic connections, provides a template for examining sensory processing throughout the brain. Here we create a leaky integrate-and-fire computational model of the entire Drosophila brain, on the basis of neural connectivity and neurotransmitter identity, to study circuit properties of feeding and grooming behaviours. We show that activation of sugar-sensing or water-sensing gustatory neurons in the computational model accurately predicts neurons that respond to tastes and are required for feeding initiation. In addition, using the model to activate neurons in the feeding region of the Drosophila brain predicts those that elicit motor neuron firing-a testable hypothesis that we validate by optogenetic activation and behavioural studies. Activating different classes of gustatory neurons in the model makes accurate predictions of how several taste modalities interact, providing circuit-level insight into aversive and appetitive taste processing. Additionally, we applied this model to mechanosensory circuits and found that computational activation of mechanosensory neurons predicts activation of a small set of neurons comprising the antennal grooming circuit, and accurately describes the circuit response upon activation of different mechanosensory subtypes. Our results demonstrate that modelling brain circuits using only synapse-level connectivity and predicted neurotransmitter identity generates experimentally testable hypotheses and can describe complete sensorimotor transformations.

}, keywords = {Animals, Brain, Computer Simulation, Connectome, Drosophila melanogaster, Feeding Behavior, Female, Grooming, Male, Models, Neurological, Motor Neurons, Optogenetics, Synapses, Taste}, issn = {1476-4687}, doi = {10.1038/s41586-024-07763-9}, url = {https://doi.org/10.1038/s41586-024-07763-9}, author = {Shiu, Philip K and Sterne, Gabriella R and Spiller, Nico and Franconville, Romain and Sandoval, Andrea and Zhou, Joie and Simha, Neha and Kang, Chan Hyuk and Yu, Seongbong and Kim, Jinseop S and Dorkenwald, Sven and Matsliah, Arie and Schlegel, Philipp and Yu, Szi-Chieh and McKellar, Claire E and Sterling, Amy and Costa, Marta and Eichler, Katharina and Bates, Alexander Shakeel and Eckstein, Nils and Funke, Jan and Jefferis, Gregory S X E and Murthy, Mala and Bidaye, Salil S and Hampel, Stefanie and Seeds, Andrew M and Scott, Kristin} } @article {67771, title = {A connectome of the central complex reveals network motifs suitable for flexible navigation and context-dependent action selection.}, journal = {eLife}, volume = {10}, year = {2021}, month = {2021 Oct 26}, abstract = {

Flexible behaviors over long timescales are thought to engage recurrent neural networks in deep brain regions, which are experimentally challenging to study. In insects, recurrent circuit dynamics in a brain region called the central complex (CX) enable directed locomotion, sleep, and context- and experience-dependent spatial navigation. We describe the first complete electron-microscopy-based connectome of the CX, including all its neurons and circuits at synaptic resolution. We identified new CX neuron types, novel sensory and motor pathways, and network motifs that likely enable the CX to extract the fly{\textquoteright}s head-direction, maintain it with attractor dynamics, and combine it with other sensorimotor information to perform vector-based navigational computations. We also identified numerous pathways that may facilitate the selection of CX-driven behavioral patterns by context and internal state. The CX connectome provides a comprehensive blueprint necessary for a detailed understanding of network dynamics underlying sleep, flexible navigation, and state-dependent action selection.

}, issn = {2050-084X}, doi = {10.7554/eLife.66039}, author = {Hulse, Brad K and Haberkern, Hannah and Franconville, Romain and Turner-Evans, Daniel B and Takemura, Shin-ya and Wolff, Tanya and Noorman, Marcella and Dreher, Marisa and Dan, Chuntao and Parekh, Ruchi and Hermundstad, Ann M and Rubin, Gerald M and Jayaraman, Vivek} } @article {49368, title = {Building a functional connectome of the central complex.}, journal = {eLife}, volume = {7}, year = {2018}, month = {2018 Aug 20}, abstract = {

The central complex is a highly conserved insect brain region composed of morphologically stereotyped neurons that arborize in distinctively shaped substructures. The region is implicated in a wide range of behaviors and several modeling studies have explored its circuit computations. Most studies have relied on assumptions about connectivity between neurons based on their overlap in light microscopy images. Here, we present an extensive functional connectome of Drosophila melanogaster{\textquoteright}s central complex at cell-type resolution. Using simultaneous optogenetic stimulation, calcium imaging and pharmacology, we tested the connectivity between 70 presynaptic-to-postsynaptic cell-type pairs. We identi1ed numerous inputs to the central complex, but only a small number of output channels. Additionally, the connectivity of this highly recurrent circuit appears to be sparser than anticipated from light microscopy images. Finally, the connectivity matrix highlights the potentially critical role of a class of bottleneck interneurons. All data is provided for interactive exploration on a website.

}, issn = {2050-084X}, doi = {10.7554/eLife.37017}, author = {Franconville, Romain and Beron, Celia and Jayaraman, Vivek} } @article {48507, title = {Angular velocity integration in a fly heading circuit.}, journal = {eLife}, volume = {6}, year = {2017}, month = {2017 May 22}, abstract = {

Many animals maintain an internal representation of their heading as they move through their surroundings. Such a compass representation was recently discovered in a neural population in the Drosophila melanogaster central complex, a brain region implicated in spatial navigation. Here, we use two-photon calcium imaging and electrophysiology in head-fixed walking flies to identify a different neural population that conjunctively encodes heading and angular velocity, and is excited selectively by turns in either the clockwise or counterclockwise direction. We show how these mirror-symmetric turn responses combine with the neurons{\textquoteright} connectivity to the compass neurons to create an elegant mechanism for updating the fly{\textquoteright}s heading representation when the animal turns in darkness. This mechanism, which employs recurrent loops with an angular shift, bears a resemblance to those proposed in theoretical models for rodent head direction cells. Our results provide a striking example of structure matching function for a broadly relevant computation.

}, issn = {2050-084X}, doi = {10.7554/eLife.23496}, author = {Turner-Evans, Daniel and Wegener, Stephanie and Rouault, Herv{\'e} and Franconville, Romain and Wolff, Tanya and Seelig, Johannes D and Druckmann, Shaul and Jayaraman, Vivek} } @article {48549, title = {Neural signatures of dynamic stimulus selection in Drosophila.}, journal = {Nature Neuroscience}, volume = {20}, year = {2017}, month = {2017 Jun 12}, pages = {1104-13}, abstract = {

Many animals orient using visual cues, but how a single cue is selected from among many is poorly understood. Here we show that Drosophila ring neurons{\textemdash}central brain neurons implicated in navigation{\textemdash}display visual stimulus selection. Using\ in vivo\ two-color two-photon imaging with genetically encoded calcium indicators, we demonstrate that individual ring neurons inherit simple-cell-like receptive fields from their upstream partners. Stimuli in the contralateral visual field suppressed responses to ipsilateral stimuli in both populations. Suppression strength depended on when and where the contralateral stimulus was presented, an effect stronger in ring neurons than in their upstream inputs. This history-dependent effect on the temporal structure of visual responses, which was well modeled by a simple biphasic filter, may determine how visual references are selected for the fly{\textquoteright}s internal compass. Our approach highlights how two-color calcium imaging can help identify and localize the origins of sensory transformations across synaptically connected neural populations.

}, doi = {10.1038/nn.4581}, author = {Sun, Yi and Nern, Aljoscha and Franconville, Romain and Dana, Hod and Schreiter, Eric R and Looger, Loren L and Svoboda, Karel and Kim, Douglas S and Hermundstad, Ann M and Jayaraman, Vivek} } @article {47092, title = {Central neural circuitry mediating courtship song perception in male Drosophila.}, journal = {eLife}, volume = {4}, year = {2015}, month = {2015 Sep 21}, abstract = {

Animals use acoustic signals across a variety of social behaviors, particularly courtship. In Drosophila, song is detected by antennal mechanosensory neurons and further processed by second-order aPN1/aLN(al) neurons. However, little is known about the central pathways mediating courtship hearing. In this study, we identified a male-specific pathway for courtship hearing via third-order ventrolateral protocerebrum Projection Neuron 1 (vPN1) neurons and fourth-order pC1 neurons. Genetic inactivation of vPN1 or pC1 disrupts song-induced male-chaining behavior. Calcium imaging reveals that vPN1 responds preferentially to pulse song with long inter-pulse intervals (IPIs), while pC1 responses to pulse song closely match the behavioral chaining responses at different IPIs. Moreover, genetic activation of either vPN1 or pC1 induced courtship chaining, mimicking the behavioral response to song. These results outline the aPN1-vPN1-pC1 pathway as a labeled line for the processing and transformation of courtship song in males.

}, issn = {2050-084X}, doi = {10.7554/eLife.08477}, author = {Zhou, Chuan and Franconville, Romain and Vaughan, Alexander G and Robinett, Carmen C and Jayaraman, Vivek and Baker, Bruce S} } @article {46557, title = {A multilevel multimodal circuit enhances action selection in Drosophila.}, journal = {Nature}, volume = {520}, year = {2015}, month = {2015 Apr 20}, pages = {633-9}, abstract = {

Natural events present multiple types of sensory cues, each detected by a specialized sensory modality. Combining information from several modalities is essential for the selection of appropriate actions. Key to understanding multimodal computations is determining the structural patterns of multimodal convergence and how these patterns contribute to behaviour. Modalities could converge early, late or at multiple levels in the sensory processing hierarchy. Here we show that combining mechanosensory and nociceptive cues synergistically enhances the selection of the fastest mode of escape locomotion in Drosophila larvae. In an electron microscopy volume that spans the entire insect nervous system, we reconstructed the multisensory circuit supporting the synergy, spanning multiple levels of the sensory processing hierarchy. The wiring diagram revealed a complex multilevel multimodal convergence architecture. Using behavioural and physiological studies, we identified functionally connected circuit nodes that trigger the fastest locomotor mode, and others that facilitate it, and we provide evidence that multiple levels of multimodal integration contribute to escape mode selection. We propose that the multilevel multimodal convergence architecture may be a general feature of multisensory circuits enabling complex input{\textendash}output functions and selective tuning to ecologically relevant combinations of cues.

}, doi = {10.1038/nature14297}, author = {Ohyama, Tomoko and Schneider-Mizell, Casey M. and Fetter, Richard D. and Aleman, Javier Valdes and Franconville, Romain and Rivera-Alba, Marta and Mensh, Brett D. and Branson, Kristin M. and Simpson, Julie H. and Truman, James W. and Cardona, Albert and Zlatic, Marta} } @article {47038, title = {A neural command circuit for grooming movement control.}, journal = {eLife}, volume = {4}, year = {2015}, month = {2015 Sep 7}, abstract = {

Animals perform many stereotyped movements, but how nervous systems are organized for controlling specific movements remains unclear. Here we use anatomical, optogenetic, behavioral, and physiological techniques to identify a circuit in Drosophila melanogaster that can elicit stereotyped leg movements that groom the antennae. Mechanosensory chordotonal neurons detect displacements of the antennae and excite three different classes of functionally connected interneurons, which include two classes of brain interneurons and different parallel descending neurons. This multilayered circuit is organized such that neurons within each layer are sufficient to specifically elicit antennal grooming. However, we find differences in the durations of antennal grooming elicited by neurons in the different layers, suggesting that the circuit is organized to both command antennal grooming and control its duration. As similar features underlie stimulus-induced movements in other animals, we infer the possibility of a common circuit organization for movement control that can be dissected in Drosophila.

}, issn = {2050-084X}, doi = {10.7554/eLife.08758}, author = {Hampel, Stefanie and Franconville, Romain and Simpson, Julie H and Seeds, Andrew M} }