single_cell_parser
❭ analyze
❭ synanalysis
❭ compute_synapse_distances_times
compute_synapse_distances_times¶
-
single_cell_parser.analyze.synanalysis.compute_synapse_distances_times(fname, cell, t=
None
, synTypes=None
)¶ Save a
single_cell_parser.cell.Cell
object’s synapse distances and activation times to a.csv
file.The following information is saved:
synapse type: to which presynaptic cell type this synapse belongs to.
synapse ID: unique identifier for the synapse.
soma distance: distance from the synapse to the soma.
section ID: ID of the section of the postsynaptic cell that contains this synapse.
section pt ID: ID of the point in the section that contains this synapse.
dendrite label: label of the dendrite that contains this synapse.
activation times: times at which the synapse was active (ms).
- Parameters:¶
fname (str) – The output file name as a ful path, including the file extension. Preferably unique (see e.g.
_evoked_activity()
for the generation of unique syapse activation filenames)cell (
single_cell_parser.cell.Cell
) – Cell objectsynTypes (list) – list of synapse types. Default: the keys of the cell.synapses dictionary
- Returns:¶
None. Writes out the synapse .csv file to
fname
.
See also
The Synapse activation file format.