NEUREQUA.neuralynx_io¶

This function included in NeuReQua is from @alafuzof

https://github.com/alafuzof/NeuralynxIO

Attributes¶

`HEADER_LENGTH`
`NCS_SAMPLES_PER_RECORD`
`NCS_RECORD`
`NEV_RECORD`
`VOLT_SCALING`
`MILLIVOLT_SCALING`
`MICROVOLT_SCALING`

Functions¶

`read_header`(fid)
`parse_header`(raw_hdr)
`read_records`(fid, record_dtype[, record_skip, count])
`estimate_record_count`(file_path, record_dtype)
`parse_neuralynx_time_string`(time_string)
`check_ncs_records`(records)
`load_ncs`(file_path[, load_time, rescale_data, ...])
`load_nev`(file_path)

Module Contents¶

NEUREQUA.neuralynx_io.HEADER_LENGTH = 16384¶

NEUREQUA.neuralynx_io.NCS_SAMPLES_PER_RECORD = 512¶

NEUREQUA.neuralynx_io.NCS_RECORD¶

NEUREQUA.neuralynx_io.NEV_RECORD¶

NEUREQUA.neuralynx_io.VOLT_SCALING = (1, 'V')¶

NEUREQUA.neuralynx_io.MILLIVOLT_SCALING = (1000, 'mV')¶

NEUREQUA.neuralynx_io.MICROVOLT_SCALING = (1000000, 'µV')¶

NEUREQUA.neuralynx_io.read_header(fid)[source]¶

NEUREQUA.neuralynx_io.parse_header(raw_hdr)[source]¶

NEUREQUA.neuralynx_io.read_records(fid, record_dtype, record_skip=0, count=None)[source]¶

NEUREQUA.neuralynx_io.estimate_record_count(file_path, record_dtype)[source]¶

NEUREQUA.neuralynx_io.parse_neuralynx_time_string(time_string)[source]¶

NEUREQUA.neuralynx_io.check_ncs_records(records)[source]¶

NEUREQUA.neuralynx_io.load_ncs(file_path, load_time=True, rescale_data=True, signal_scaling=MICROVOLT_SCALING)[source]¶

NEUREQUA.neuralynx_io.load_nev(file_path)[source]¶