Ephys: Overview

The ephys schema was built to handle electrophysical data generated by a variety of legacy and current tetrodes and probes in use in the Moser Group.

The Ephys schema is written in Python using the Datajoint database framework

New users may find the following pages to be useful:

• Ephys: Fetching data:

  Access The Database schemas in Python, and find the tables you need

• Ephys: Terminology and Ephys Naming Conventions:

  What do terms mean in the Ephys pipeline, and how should things be named

• Ephys: Web GUI:

  How to use the electrophysiology web interface to ingest new data

The following pages cover more advanced topics and are provided for reference:

• How is data in the Ephys pipeline processed?:

  How is data in the ephys pipeline processed?

• Ephys multi-sess-units:

  Following the same unit across multiple clusterings

Ephys systems Supported

The following current hardware systems are supported:

• Neuropixel probes

  • Neuropixels 1.0

  • Neuropixels 2.0

• Neurologger Wireless

The following legacy hardware systems are supported:

• Axona Data Acquisition

• Neuralynx

Tracking systems supported

Both Axona and Neuralynx inbuilt tracking systems are supported.

3 dimensional tracking is supported via Optitrack motion capture

DeepLabCut is currently supported for 2 dimensional tracking only. 3 dimensional tracking may be implemented in future.

Clustering supported

Current systems, especially Neuropixels recordings, are assumed to be clustered via Kilosort 2.

• Kilosort 2

• MClust

• Klustakwik

• Tint