NeuroConv

NeuroConv is a Python package for converting neurophysiology data in a variety of proprietary formats to the Neurodata Without Borders (NWB) standard.

Features:

• Reads data from 42 popular neurophysiology data formats and writes to NWB using best practices.

• Extracts relevant metadata from each format.

• Handles large data volume by reading datasets piece-wise.

• Minimizes the size of the NWB files by automatically applying chunking and lossless compression.

• Supports ensembles of multiple data streams, and supports common methods for temporal alignment of streams.

See also

Watch a video introduction to NeuroConv here

Contents

• User Guide
  • DataInterfaces
  • NWBConverter
  • Using YAML to specify metadata
  • Temporal Alignment
  • Specifying metadata using tables
  • Path Expansion
• Conversion Gallery
  • Extracellular electrophysiology
  • Intracellular electrophysiology
  • Optical physiology
  • Behavior
  • Common interface combinations
• Catalogue of NeuroConv Projects
  • NeuroConv v0.3
  • NeuroConv v0.2
  • NCT v0.9
  • NCT v0.8
  • NCT v0.7.0
  • Other examples of NWB pipelines
• Developer Guide
  • Contributing
  • Build a Data Interface
  • Defining the form of source with schemas
  • Metadata Schema
  • Project Structure
  • Testing Suite
  • Coding Style
  • Building the Documentation
• API
  • Base Data Interface
  • Interfaces
  • NWBConverter
  • Tools
  • Utils

For more information regarding the NWB Standard, please view

• The NWB Format Specification