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Models of activity-dependent neural development

K D Miller1

  • 1Department of Physiology, W.M. Keck Foundation, University of California, San Francisco 94143-0444.

Progress in Brain Research
|January 1, 1994
PubMed
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Modeling neural development requires linking measurable biological quantities to outcomes. Future work must deepen the connection between theory and experiment for testable predictions on synaptic plasticity and connectivity.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Developmental Biology

Background:

  • Neural development models demonstrate biological mechanisms' sufficiency for experimental results.
  • Distinguishing between mechanisms requires connecting measurable biological quantities to developmental outcomes.
  • Current models often lack direct experimental testability.

Purpose of the Study:

  • To deepen the connection between theory and experiment in neural development modeling.
  • To establish frameworks for experimentally distinguishing between developmental mechanisms.
  • To develop testable predictions for neural plasticity and connectivity patterns.

Main Methods:

  • Analyzing the Von der Malsburg model as a classic example.
  • Proposing experimental measurements of input correlations and intracortical connectivity.

Related Experiment Videos

  • Developing theoretical models to explore plasticity mechanisms and connectivity widths.

    • Main Results:

    • Demonstrated that models can show mechanism sufficiency but not distinguish between them.
    • Highlighted the need for detailed measurements of input correlations and connectivity.
    • Identified open theoretical problems regarding plasticity, column width, and ocular dominance.

    Conclusions:

    • Deepening the theory-experiment connection is crucial for useful neural development models.
    • Future models should yield testable predictions for activity and connectivity patterns.
    • Extending models to 3D, incorporating biophysical realism, and understanding functional significance are key future directions.