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Perspectives on Neuroscience
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What if what matters is emergent?

Ravi Chopra1, Keith B Hengen2

  • 1Department of Neurology, Washington University in Saint Louis, St. Louis, MO, USA.

Neuron
|January 23, 2025
PubMed
Summary

Hippocampal networks keep a steady firing rate even when individual neurons change. This stability is achieved through a specific molecular pathway in interneurons, linking cell function to network computation.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Molecular Biology

Background:

  • Hippocampal networks exhibit complex activity patterns.
  • Maintaining stable network function (homeostasis) is crucial for cognition.
  • Individual neuronal activity can be highly variable.

Purpose of the Study:

  • To investigate the mechanisms underlying stable network activity in the hippocampus.
  • To identify the molecular pathways responsible for homeostatic control of neuronal firing rates.
  • To bridge molecular signaling with emergent network properties.

Main Methods:

  • Electrophysiological recordings in hippocampal networks.
  • Genetic manipulation of signaling pathways in specific interneuron populations.

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  • Analysis of neuronal firing rates and network activity.

    • Main Results:

    • Hippocampal networks maintain a stable mean firing rate despite significant variability in individual neuronal firing.
    • N-methyl-D-aspartate receptor (NMDAR)-eukaryotic elongation factor 2 kinase (eEF2K)-brain-derived neurotrophic factor (BDNF) signaling in parvalbumin interneurons is critical for this homeostatic control.
    • Disruption of this pathway leads to unstable network activity.

    Conclusions:

    • A specific molecular signaling cascade in parvalbumin interneurons acts as a homeostatic mechanism to stabilize hippocampal network activity.
    • Cellular machinery can actively maintain emergent network properties, demonstrating a link between molecular processes and network-level computation.
    • This provides a novel insight into how the brain balances stability and flexibility in neuronal function.