Spatial timeseries 2d representation

[filippomc]

Spatial timeseries represent the movement in the 2D space during time. For instance, it may represent the movement of a rat in a cage during the experiment.

With this first implementation, we want to represent all the points in a static 2D plot, ignoring the time.

• [ ] On the backend, adapt the model interpreter in order to send the data of a spatial time series. It must support lazy loading (with import value) and send axes x, y and time line.
• [ ] On the frontend, write a component that visualizes a spatial time series
• [ ] Attach the component to the code.

Examples:

• https://github.com/OpenSourceBrain/NWBShowcase/blob/master/ScholzEtAl2019/Testing.ipynb
• https://portal.nersc.gov/project/crcns/download/ssc-7/data.tar.gz

[pgleeson]

This change is relevant for this improvement: https://github.com/MetaCell/nwb-explorer/blob/807e149cfdf292619ab35031665b9e2cc6827279/nwb_explorer/nwb_model_interpreter/nwb_reader.py#L28