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Showing 1–11 of 11 results
Advanced filters: Author: Pavan Ramdya Clear advanced filters

  • Numerous selective forces shape animal locomotion patterns and as a result, different animals evolved to use different gaits. Here, Ramdyaet al. use live and in silicoDrosophila, as well as an insect-model robot, to gain insights into the conditions that promote the ubiquitous tripod gait observed in most insects.

    • Pavan Ramdya
    • Robin Thandiackal
    • Dario Floreano
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-11

  • Artificial neural networks that model the visual system of a male fruit fly can accurately predict the insect’s behaviour in response to seeing a potential mate — paving the way for the building of more complex models of brain circuits.

    • Pavan Ramdya
    News & Views
    Nature
    Volume: 629, P: 1010-1011

  • Collective behaviour in animal groups can improve individual perception and decision-making, but the neural mechanisms involved have been hard to access in classic models for these phenomena; here it is shown that Drosophila’s olfactory responses are enhanced in groups of flies, through mechanosensory neuron-dependent touch interactions.

    • Pavan Ramdya
    • Pawel Lichocki
    • Richard Benton
    Research
    Nature
    Volume: 519, P: 233-236

  • To better understand the development of the binocular circuit and the nature of visual information processing, Ramdya and Engert examine the neuronal activity of zebrafish optic tectum when it was rewired to receive inputs from both eyes.

    • Pavan Ramdya
    • Florian Engert
    Research
    Nature Neuroscience
    Volume: 11, P: 1083-1090

  • NeuroMechFly v2 extends the capabilities of the original neuromechanical modeling platform for Drosophila, NeuroMechFly, by including sensory input, motor feedback and the ability to simulate complex terrains.

    • Sibo Wang-Chen
    • Victor Alfred Stimpfling
    • Pavan Ramdya
    Research
    Nature Methods
    Volume: 21, P: 2353-2362

  • Command-like descending neurons in Drosophila melanogaster recruit additional descending neuronal networks to co-ordinate behaviours that require multiple motor subroutines controlling numerous body parts.

    • Jonas Braun
    • Femke Hurtak
    • Pavan Ramdya
    ResearchOpen Access
    Nature
    Volume: 630, P: 686-694

  • NeuroMechFly enables simulations of adult Drosophila melanogaster. The platform combines a biomechanical representation of the fly body, models of the muscles, a neural controller and a physics-based simulation of the environment.

    • Victor Lobato-Rios
    • Shravan Tata Ramalingasetty
    • Pavan Ramdya
    Research
    Nature Methods
    Volume: 19, P: 620-627

  • Minimally invasive procedures for tracking neural activity are important for understanding of neural networks. Here the authors describe microfabricated implants and windows that enable long-term recordings of motor circuit activity in Drosophila, allowing them to watch how neurons change their structure and activity over weeks.

    • Laura Hermans
    • Murat Kaynak
    • Pavan Ramdya
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-15

  • The Drosophila ventral nerve cord (VNC) is functionally equivalent to the vertebrate spinal cord. This study reports a 2-photon imaging approach for recording neural activity in the VNC of walking and grooming adult flies.

    • Chin-Lin Chen
    • Laura Hermans
    • Pavan Ramdya
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-10