ibllib.pipes.sync_tasks

Classes

SyncMtscomp

Task to rename, compress and register raw daq data with .bin format collected using NIDAQ

SyncPulses

Extract sync pulses from NIDAQ .bin / .cbin file N.B Only extracts sync from sync collection (i.e not equivalent to EphysPulses that extracts sync pulses for each probe)

SyncRegisterRaw

Task to register raw DAQ data.

class SyncRegisterRaw(session_path, **kwargs)[source]

Bases: RegisterRawDataTask

Task to register raw DAQ data.

Registers DAQ software output for a given device. The object should be _*_DAQdata, where the namespace identifies the DAQ model or acquisition software, e.g. ‘mcc’, ‘ni’ or ‘ni-usb-6211’. At minimum there should be a raw data dataset of the form _*_DAQdata.raw*, e.g. ‘_mc_DAQdata.raw.pqt’. The following are optional attribute datasets: - _*_DAQdata.timestamps.npy: for timeline the timestamps array is separate from the samples. - _*_DAQdata.meta.json: for timeline all acquisition meta data (e.g. sample rate, channel names) are stored in a separate file. - _*_DAQdata.wiring.json: for SpikeGLX the channel map is stored in this file. _timeline_softwareEvents.log.htsv: UDP messages and other software events in DAQ time.

priority = 100
job_size = 'small'
property signature

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object’s

(key, value) pairs

dict(iterable) -> new dictionary initialized as if via:

d = {} for k, v in iterable:

d[k] = v

dict(**kwargs) -> new dictionary initialized with the name=value pairs

in the keyword argument list. For example: dict(one=1, two=2)

class SyncMtscomp(session_path, **kwargs)[source]

Bases: DynamicTask

Task to rename, compress and register raw daq data with .bin format collected using NIDAQ

priority = 90
cpu = 2
io_charge = 30
job_size = 'small'
property signature

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object’s

(key, value) pairs

dict(iterable) -> new dictionary initialized as if via:

d = {} for k, v in iterable:

d[k] = v

dict(**kwargs) -> new dictionary initialized with the name=value pairs

in the keyword argument list. For example: dict(one=1, two=2)

class SyncPulses(session_path, **kwargs)[source]

Bases: DynamicTask

Extract sync pulses from NIDAQ .bin / .cbin file N.B Only extracts sync from sync collection (i.e not equivalent to EphysPulses that extracts sync pulses for each probe)

# TODO generalise to other daq and file formats, generalise to 3A probes

priority = 90
cpu = 2
io_charge = 30
job_size = 'small'
property signature

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object’s

(key, value) pairs

dict(iterable) -> new dictionary initialized as if via:

d = {} for k, v in iterable:

d[k] = v

dict(**kwargs) -> new dictionary initialized with the name=value pairs

in the keyword argument list. For example: dict(one=1, two=2)