Comments (4)
Are you loading the data in Matlab (load_open_ephys_binary.m
) or Python (Python3/Binary.py
)? Either way, the data will be loaded as a matrix with dimensions of samples x channels. Selecting one value in the second dimension (e.g. data[:,1]
in Python) will return data for a specific channel.
from analysis-tools.
Would be nice to have a Matlab reader with optional loading of the selected channels if a data size is too huge and a memory is not enough. Has anyone solved this problem?
from analysis-tools.
For big datasets the MATLAB reader has an optional 'mmap' option that loads the file in memory mapped mode. In this mode the file is not loaded to memory in one go, but chunks are loaded and unloaded automatically by MATLAB as needed. In this case, it would be possible to load the data in this mode and just copy the required channels into a different array.
See help load_open_ephys_binary
for more info on this mode.
from analysis-tools.
Thanks, this is a good way.
from analysis-tools.
Related Issues (20)
- Splitting and Merging .dat Files HOT 3
- Trouble loading events data in matlab when saving in flat binary format with the updated GUI: load_open_ephys_binary.m looks for channels.npy HOT 3
- Binary dat files to Plexon Offline sorter HOT 7
- Failing to read metadata.npy for TTL events in this specific setup HOT 4
- Converting continuous.dat into SpikeGLX flat binary HOT 4
- data and timestamp length unequal using load_open_ephys_binary HOT 4
- Session? HOT 1
- Flat binary file has more/less samples than expected HOT 4
- How to convert .continuous format to flat binary for using in Klusta HOT 1
- How to display the specific time point for spikes ? HOT 1
- load_open_ephys_data_faster.m memory error HOT 5
- Import continuous data recorded by neuropixels HOT 11
- issue running TT openephys data recorded in binary to Mclust
- Using analysis tools in Jupyter Notebook HOT 4
- Merging multiple OpenEphys binary (continuous.dat) files HOT 1
- Info Channel Header Location HOT 2
- Missing Probeinterface file for Neuropixel 1.0 (Open Ephys)
- recovering timestamps HOT 1
- OEP v0.6.2 Python KeyError: 'source_processor_sub_idx HOT 3
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from analysis-tools.