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Related Experiment Videos

Axons as computing devices: basic insights gained from models.

I Segev1, E Schneidman

  • 1Department of Neurobiology, Institute of Life Sciences and Center for Neural Computation, The Hebrew University, Jerusalem, Israel.

Journal of Physiology, Paris
|November 26, 1999
PubMed
Summary
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Axons, often overlooked in neuron models, may perform complex information processing. New research integrates experimental and theoretical approaches to create realistic axon models, revealing their computational roles.

Area of Science:

  • Computational Neuroscience
  • Neurobiology
  • Systems Neuroscience

Background:

  • Traditional single neuron models focus on dendrites, treating axons as simple signal transmitters.
  • Emerging evidence suggests axons possess computational capabilities through action potential (AP) propagation delays, subtree filtering, and activity-dependent excitability.

Purpose of the Study:

  • To review insights from simplified axon models regarding their information processing potential.
  • To highlight the underappreciated stochastic nature of axons.
  • To advocate for integrated experimental and theoretical approaches for developing realistic axon models.

Main Methods:

  • Review and synthesis of existing theoretical and experimental studies on axonal function.
  • Discussion of limitations imposed by scarce physiological and anatomical data.

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  • Emphasis on the potential of new experimental techniques and computational tools.

    • Main Results:

    • Simplified axon models have provided preliminary insights into axonal information processing.
    • The stochastic properties of axons are a significant, yet often neglected, aspect of their function.
    • Realistic axon modeling is now feasible due to advancements in experimental and computational methods.

    Conclusions:

    • Axons may play a more active role in neural computation than previously assumed.
    • A tight integration of experimental data and theoretical modeling is crucial for understanding axonal contributions.
    • Future research should focus on developing and validating realistic axon models to elucidate their information processing capabilities.