visualisation of electrophysiology datafiles in any format supported by the Neo library. It makes use of
the Neo Viewer
The component was developed to produce graphical representations of neural activity data based on the
Neo object model.
is an open source API implemented in Python supporting many file formats, including
several proprietary formats (e.g. AlphaOmega, Plexon, NeuroExplorer), open formats (e.g. Neurodata
Borders, Klustakwik, Elan) and generic file formats (e.g. MATLAB, ASCII, HDF5). Neo loads this data into
common object model with the aim of increasing interoperability of various software tools used in
electrophysiology and thus facilitating sharing of data between different projects. Neo's focus is
on the structure of the data, with separate tools being required for their analysis. Our compoment comes
at this stage by enabling interactive visualization of data. It makes use of the open source
for visualisation, owing to its efficiency in handling large data, and
Python web framework for the backend.
This project has received funding from the European
Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreements No.
No. 945539 (Human Brain Project SGA2 and SGA3).