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@@ -6,7 +6,7 @@ This dataset contains the binned activity times series of intracranial recording
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For each patient, the dataset contains one 10-minute reference recording (interictal), obtained in a seizure-free interval, as well as several pre-ictal recordings, spanning 10 minutes prior to seizure onset. Pre-ictal recordings end at seizure onset.
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The binned activity is defined as the number of recorded active neurons in a certain brain area in discrete time bins of 4 ms. For each recording, we provide the binned activities in left and right hippocampus (LH/RH), amygdala (LA/RA), parahippocampal cortex (LPHC/RPHC), entorhinal cortex (LEC/REC), and the full medial temporal lobe (left/right).
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-For more details on the data acquisition and pre-processing, see [ref].
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+For more details on the data acquisition and pre-processing, see [1].
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## Repository structure
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@@ -16,17 +16,19 @@ For more details on the data acquisition and pre-processing, see [ref].
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* preIct_recordings_patients.txt contains a list of all preictal recordings and the corresponding patientID
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* interictal/* contains all interictal (reference) recordings
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* preictal/* contains all preictal recordings
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+* all recordings are provided as pickle files (.pkl) and as textfiles (.txt)
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### Python Code
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-Python scripts to estimate the distance to criticality using the Multistep Regression estimator [ref] and to reproduce the results shown in [ref].
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+* Example code to read the data (python_code/reading_data/*)
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+* Scripts to estimate the distance to criticality using the Multistep Regression estimator [2] and to reproduce the results shown in [1] (python_code/analysis_PlosCB/*)
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## Cite as
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Reference: Assessing criticality in pre-seizure single neuron activity of human epileptic cortex.
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## Related Publications
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-* Reference: Assessing criticality in pre-seizure single neuron activity of human epileptic cortex.
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-* Reference: MR estimator
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+* [1] Assessing criticality in pre-seizure single neuron activity of human epileptic cortex.
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+* [2] Spitzner, F. P., Dehning, J., Wilting, J., Hagemann, A., Neto, J. P., Zierenberg, J., & Priesemann, V. (2020). MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity. arXiv preprint arXiv:2007.03367.
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## Licensing
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-See `LICENSE.txt` for the full license.
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+See `LICENSE.txt` for the full license.
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