Judith Hoeller

ORCID: 0009-0004-7261-4156
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About
Contact & Profiles
Research Areas
  • Neurobiology and Insect Physiology Research
  • Plant and animal studies
  • Neural dynamics and brain function
  • Visual perception and processing mechanisms
  • Insect and Arachnid Ecology and Behavior
  • Advanced Fluorescence Microscopy Techniques
  • Nonlinear Dynamics and Pattern Formation
  • Advanced Measurement and Metrology Techniques
  • Quantum chaos and dynamical systems
  • CCD and CMOS Imaging Sensors
  • Space exploration and regulation
  • Fluid Dynamics and Turbulent Flows
  • Advanced Vision and Imaging
  • Advanced Memory and Neural Computing
  • Quantum Mechanics and Non-Hermitian Physics
  • Nuclear physics research studies
  • Meteorological Phenomena and Simulations

Janelia Research Campus
2022-2024

Howard Hughes Medical Institute
2023-2024

Champalimaud Foundation
2024

University of Vermont
2024

Vision provides animals with detailed information about their surroundings, conveying diverse features such as color, form, and movement across the visual scene. Computing these parallel spatial requires a large network of neurons, that in distant flies humans, regions comprise half brain's volume. These brain often reveal remarkable structure-function relationships, neurons organized along maps shapes directly relate to roles processing. To unravel stunning diversity complex system, careful...

10.1101/2024.04.16.589741 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2024-04-18

Flying insects exhibit remarkable navigational abilities controlled by their compact nervous systems. Optic flow , the pattern of changes in visual scene induced locomotion, is a crucial sensory cue for robust self-motion estimation, especially during rapid flight. Neurons that respond to specific, large-field optic patterns have been studied decades, primarily large flies, such as houseflies, blowflies, and hover flies. The best-known optic-flow sensitive neurons are tangential cells...

10.7554/elife.93659.1 preprint EN 2024-01-09

Abstract Vision provides animals with detailed information about their surroundings and conveys diverse features such as colour, form movement across the visual scene. Computing these parallel spatial requires a large network of neurons. Consequently, from flies to humans, regions in brain constitute half its volume. These often have marked structure–function relationships, neurons organized along maps shapes that directly relate roles processing. More than century anatomical studies...

10.1038/s41586-025-08746-0 article EN cc-by Nature 2025-03-26

Abstract Flying insects exhibit remarkable navigational abilities controlled by their compact nervous systems. Optic flow , the pattern of changes in visual scene induced locomotion, is a crucial sensory cue for robust self-motion estimation, especially during rapid flight. Neurons that respond to specific, large-field optic patterns have been studied decades, primarily large flies, such as houseflies, blowflies, and hover flies. The best-known optic-flow sensitive neurons are tangential...

10.1101/2023.10.16.562634 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-10-17

Flying insects exhibit remarkable navigational abilities controlled by their compact nervous systems. Optic flow , the pattern of changes in visual scene induced locomotion, is a crucial sensory cue for robust self-motion estimation, especially during rapid flight. Neurons that respond to specific, large-field optic patterns have been studied decades, primarily large flies, such as houseflies, blowflies, and hover flies. The best-known optic-flow sensitive neurons are tangential cells...

10.7554/elife.93659 preprint EN 2024-01-09

As we move through the world, see same visual scenes from different perspectives. Although experience perspective deformations, our perception of a scene remains stable. This raises question which neuronal representations in brain areas are perspective-tuned and invariant. Focusing on planar rotations, introduce mathematical framework based principle equivariance, asserts that an image rotation results corresponding representations, to explain how representation can range being fully tuned...

10.1101/2024.08.02.606398 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2024-08-06

To facilitate reasoning about 3D visual scenes our brain must convert complex inputs to simpler representations. While this conversion has been studied with psychophysics in humans, the underlying neural representations are poorly understood. Here we study how change as transformed by rotations. Like images, at level of retina “compositional”: The representation one transformation plus another is same combined transformation. We hypothesize that cortex also compositional and texture...

10.1167/jov.22.14.4104 article EN cc-by-nc-nd Journal of Vision 2022-12-05
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