Summary: A multidisciplinary research team is using the fruit fly, Drosophila melanogaster, to investigate how the brain builds a stable, accurate representation of the world from multiple sensory inputs. Backed by a $6.5 million grant from the NIH Institute of Neurological Disorders and Stroke, the project focuses on how the fly integrates information from antennae, eyes and halteres (the balancing organs), how it resolves conflicts between sensors, and how those processes drive robust navigational behavior. The work leverages newly completed whole-brain connectomes and advanced genetic tools to manipulate and observe specific neurons during flight.
Key Facts:
- The study examines how the fly brain processes and reconciles multisensory information, particularly when different senses provide conflicting signals.
- Researchers will take advantage of the recently published full fly brain connectome and a new library of genetically modifiable flies that allow individual neurons to be activated or silenced with light.
- The effort is collaborative, involving laboratories at multiple research universities working together to build shared experimental facilities and train the next generation of scientists.
Source: Cornell University
Robust navigation is essential for survival but deceptively complex — consider the speed, agility and stability of a flying fruit fly.
Led by Itai Cohen, professor of physics in the College of Arts and Sciences, the research team will use Drosophila melanogaster as a model to probe core principles of neural computation that allow an animal to navigate reliably. Fruit flies exhibit a wide repertoire of natural flight behaviors, and their nervous systems are now accessible with unprecedented anatomical and genetic precision, making them ideal for dissecting how the brain combines visual, mechanosensory and balance-related cues into coherent motor commands.
With a $6.5 million NIH grant, the team aims to map the functional pathways by which sensory signals from the antennae, eyes and halteres are combined in the fly brain and translated into flight corrections and navigational choices. A central question is how the nervous system responds when sensors agree — producing a consistent percept — versus when sensors disagree, creating a conflict that requires the brain to choose, weight or reconcile competing inputs.
The researchers will test whether flies give priority to particular sensory inputs under different conditions, and whether those priorities shift with context. For example, in dim light a fly might rely more heavily on mechanosensory feedback from the antennae or on haltere-derived balance signals, much like a human relying on touch when vision is limited. By perturbing visual, wind and magnetic cues while recording detailed wing and body movements, the team will observe how behavioral outputs change when specific neural circuits are modulated.
Recent advances make this study timely. The entire Drosophila connectome — a detailed map of neurons and their synaptic connections — has been completed and published, providing an anatomical scaffold for hypothesis-driven experiments. At the same time, a new collection of genetically engineered fly lines enables researchers to activate or silence individual neurons with light, offering causal tests of circuit function. The project will combine these anatomical maps and optogenetic tools with custom-built experimental rigs that deliver controlled sensory perturbations during free or tethered flight while measuring kinematics at high resolution.
Beyond Cornell, participating laboratories include teams led by Noah Cowan in Mechanical Engineering at Johns Hopkins University; Brad Dickerson at the Princeton Neuroscience Institute; Jessica Fox in Biology at Case Western Reserve University; Sung Soo Kim in Molecular, Cellular, and Developmental Biology at the University of California, Santa Barbara; and Marie Suver in Biological Sciences at Vanderbilt University. These groups will share facilities, methods and training opportunities, enabling students and postdoctoral researchers supported by the grant to access specialized equipment and cross-disciplinary expertise.
The project combines physics, neurobiology, engineering and computational analysis to reveal how simple nervous systems achieve reliable behavior despite noisy or conflicting sensory inputs. Insights from this work could inform broader understanding of sensory integration and navigation in more complex brains, and may suggest principles relevant to robotic control systems and neurological disorders that affect sensory processing.
About this neuroscience research news
Author: Becka Bowyer
Source: Cornell University
Contact: Becka Bowyer, Cornell University
Image: The image is credited to Neuroscience News