Although we assume systematic raw AP files users will get through advanced transfer techniques given the sheer size of the dataset, the same can't be said of LFP files.
I'll create a electrophysiology loader class related to the spike sorting loader with a common base class that share all of the datasets explorations and pid to eid relationships.
This can be then used to easily download a collection of LFP recordings after a query.
We will then have to address the quality control and destriping, but this is another story...
Although we assume systematic raw AP files users will get through advanced transfer techniques given the sheer size of the dataset, the same can't be said of LFP files.
Internal and external examples are trying to gather LFP files for a large colletion of datsets. This is a telling example of user query: https://neurostars.org/t/how-can-i-load-the-ibl-lfp-data-spikeglx-does-not-seem-to-be-available-for-python/27499
I'll create a electrophysiology loader class related to the spike sorting loader with a common base class that share all of the datasets explorations and pid to eid relationships. This can be then used to easily download a collection of LFP recordings after a query.
We will then have to address the quality control and destriping, but this is another story...