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How to use the spikeextractors.MdaSortingExtractor function in spikeextractors

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github SpikeInterface / spikeextractors / tests / test_extractors.py View on Github external
def test_mda_extractor(self):
        path1 = self.test_dir + '/mda'
        path2 = path1 + '/firings_true.mda'
        se.MdaRecordingExtractor.write_recording(self.RX, path1)
        se.MdaSortingExtractor.write_sorting(self.SX, path2)
        RX_mda = se.MdaRecordingExtractor(path1)
        SX_mda = se.MdaSortingExtractor(path2)
        self._check_recording_return_types(RX_mda)
        self._check_recordings_equal(self.RX, RX_mda)
        self._check_sorting_return_types(SX_mda)
        self._check_sortings_equal(self.SX, SX_mda)
github SpikeInterface / spikeextractors / tests / test_extractors.py View on Github external
def test_mda_extractor(self):
        path1 = self.test_dir + '/mda'
        path2 = path1 + '/firings_true.mda'
        se.MdaRecordingExtractor.write_recording(self.RX, path1)
        se.MdaSortingExtractor.write_sorting(self.SX, path2)
        RX_mda = se.MdaRecordingExtractor(path1)
        SX_mda = se.MdaSortingExtractor(path2)
        self._check_recording_return_types(RX_mda)
        self._check_recordings_equal(self.RX, RX_mda)
        self._check_sorting_return_types(SX_mda)
        self._check_sortings_equal(self.SX, SX_mda)
github SpikeInterface / spiketoolkit / spiketoolkit / sorters / mountainsort4 / mountainsort4.py View on Github external
def get_result_from_folder(output_folder):
        sorting = se.MdaSortingExtractor(str(output_folder / 'firings.mda'))
        return sorting

spikeextractors

Python module for extracting recorded and spike sorted extracellular data from different file types and formats

GitHub
MIT
Latest version published 2 years ago

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45 / 100
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