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Related Experiment Video

Updated: May 25, 2026

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
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Functional clustering drives encoding improvement in a developing brain network during awake visual learning.

Kaspar Podgorski1, Derek Dunfield, Kurt Haas

  • 1Department of Cellular and Physiological Sciences and the Brain Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.

Plos Biology
|January 19, 2012
PubMed
Summary
This summary is machine-generated.

Visual training coordinates neuronal plasticity in the developing Xenopus laevis tectum, improving population coding. NMDA receptors are crucial for this experience-dependent network self-organization and efficient stimulus representation.

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Published on: November 8, 2012

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Systems Neuroscience

Background:

  • Sensory experience induces neuronal plasticity, but optimal network function requires coordinated changes.
  • Developing neural networks must efficiently represent diverse stimuli through coordinated neuronal activity.

Purpose of the Study:

  • Investigate network-level plasticity in the developing Xenopus laevis tectum during visual training.
  • Determine the role of NMDA receptors in experience-dependent network self-organization and population coding.

Main Methods:

  • Utilized two-photon calcium imaging to monitor evoked activity in over 100 neurons simultaneously.
  • Applied visual training with motion stimuli to developing Xenopus laevis tadpoles.

Main Results:

  • Visual training induced stimulus-specific changes in neuronal responses and interactions, enhancing population encoding.
  • Plasticity was spatially structured, increasing similarity and interactions among nearby neurons while decreasing those among distant neurons.
  • NMDA receptor blockade disrupted coordinated plasticity, reduced neuronal clustering, and abolished improvements in whole-network encoding.

Conclusions:

  • Experience-dependent network self-organization, supported by NMDA receptors, is essential for efficient population coding.
  • Coordinated plasticity across neuronal clusters, not just within them, drives improved sensory information processing.
  • This study elucidates mechanisms for experience-driven refinement of neural circuits for optimal sensory representation.