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Updated: Jun 9, 2026

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A framework for analyzing C. elegans neural activity using multi-dimensional hyperbolic embedding.

Iulia Rusu1,2, Zachary T Cecere2,3,4, Javier J How5,6,7

  • 1Biological Sciences Graduate Program, University of California San Diego, La Jolla, CA 92093.

Biorxiv : the Preprint Server for Biology
|June 4, 2025
PubMed
Summary
This summary is machine-generated.

Researchers discovered that the neural activity in Caenorhabditis elegans (C. elegans) responding to bacterial stimuli is best described by a low-dimensional hyperbolic space. This finding helps explain how sensory information is transformed into motor commands for behavior.

Keywords:
C. elegansbacterial stimulihyperbolic geometrynetwork dimensionalitywhole-brain imaging

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Systems Biology

Background:

  • Neural activity patterns underlie sensory processing and behavioral output.
  • Understanding the dimensionality and geometry of neural activity is crucial for deciphering sensorimotor transformations.
  • The contribution of network activity versus sensory input to non-sensory neuron firing remains unclear.

Purpose of the Study:

  • To investigate the dimensionality and geometry of neural activity in Caenorhabditis elegans (C. elegans) in response to bacterial stimuli.
  • To characterize the temporal dynamics of sensory and motor neuron clusters.
  • To determine if neural activity can be represented in hyperbolic space and its relationship to sensorimotor transformation.

Main Methods:

  • Recorded neural activity from most head neurons in C. elegans exposed to bacterial stimuli.
  • Classified active neurons into functional clusters (sensory and motor/command).
  • Estimated stimulus selectivity and used hyperbolic embedding to analyze neural dynamics.

Main Results:

  • Identified six functional neuron clusters: two sensory and four motor/command.
  • Sensory neurons responded maximally within 15 seconds, while motor/command neurons responded tens of seconds later.
  • Neural dynamics were best described by an eight-dimensional hyperbolic space, outperforming Euclidean space.
  • The hyperbolic space revealed distinct sensory and motor (forward-backward, dorsal-ventral) components.

Conclusions:

  • C. elegans neural activity in response to bacterial stimuli can be effectively represented in a low-dimensional hyperbolic space.
  • This hyperbolic representation aids in understanding sensorimotor transformations.
  • The findings provide a scalable method for analyzing neural activity and its link to behavior in complex systems.