Neo documentation

Neo is a Python package for working with electrophysiology data.

It implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data.

Goal: improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data, by providing a common, shared object model.

Support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt and Igor Pro, and for writing to open formats such as NWB and NIX.

Neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion.

In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization.

Download & Install

install.html

Read and analyze data

read_and_analyze.html

Share data in an open format

share_data.html

Use Neo in a library or app

use_neo_as_dependency.html

Add support for a new file format

add_file_format.html

Examples

examples/index.html

Report a bug or request a new feature

bug_reports.html

Contribute to Neo

contributing.html

See who is using Neo

neo_users.html

API reference

api_reference.html

Optimisation of performance and memory consumption

rawio.html

Supported file formats

iolist.html