NeuroElectro

NeuroElectro extracts and organizes electrophysiological properties of neurons from published journal articles to enable comparative analysis across studies.

Key Features:

• Data Extraction: Automated extraction of tabular electrophysiological data and methodological metadata directly from journal articles.
• Ontology-Based Organization: Organization of information by neuron type using NeuroLex definitions and a newly developed electrophysiological ontology.
• Data Normalization and Integration: Strategies to normalize and integrate heterogeneous electrophysiological measurements across disparate studies.
• Visualization and Summarization Tools: Analytical tools to visualize and summarize complex electrophysiological datasets and property distributions.

Scientific Applications:

• Experimental Physiologists: Supplementing experimental datasets with curated literature-reported electrophysiological measurements for comparative analyses.
• Computational Modelers: Constraining neuronal model parameters using aggregated, literature-derived electrophysiological properties.
• Theoreticians: Identifying relationships among neuron types and electrophysiological properties to inform theoretical studies of neural circuits.

Methodology:

Automated extraction of tabular electrophysiological data and methodological metadata from journal articles (including closed-access), followed by parsing and normalization of extracted values and organization using NeuroLex definitions and a newly developed electrophysiology ontology.