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Exploration and virtual experimentation in a local neuroscience database

B E Peterson1

  • 1Section of Neurobiology, Yale University School of Medicine, New Haven, CT 06510, USA. bret@kelvin.med.yale.edu

Journal of Neuroscience Methods
|December 1, 1995
PubMed
Summary

Researchers are developing neuroscience databases to share experimental data and enable virtual experiments. This work introduces a local database system with neurophysiology software tools for data exploration and hypothesis testing.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Bioinformatics

Background:

  • Multiple research groups are exploring the creation of neuroscience databases.
  • Existing efforts aim to standardize experiment descriptions, facilitate virtual experiments, and enable data exchange.

Purpose of the Study:

  • To describe the development of a local neuroscience database system.
  • To integrate experimental neurophysiology software tools with a database of experiment descriptions.

Main Methods:

  • Development of a set of experimental neurophysiology software tools.
  • Utilizing external scripting mechanisms to link software tools to a database of experiment descriptions.
  • Enabling data exploration and automated re-analysis.

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Main Results:

  • The system provides a means to explore experimental results and data, leading to new research insights.
  • Scriptability allows for automated data re-analysis, facilitating virtual experiments.
  • Hypotheses generated by computational models can be rapidly tested against existing datasets.

Conclusions:

  • The developed local database system enhances data exploration and facilitates virtual experiments in neuroscience.
  • This approach supports the integration of experimental and computational neuroscience by enabling rapid hypothesis testing.
  • The system promotes new avenues of research through efficient data analysis and re-analysis.