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@@ -2,7 +2,7 @@
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## Dataset of "History-dependent variability in population dynamics during evidence accumulation in cortex"
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-This repository contains preprocessed behavioral data and neural data collected from mice performing an evidence accumulation task in a VR environment. Neural data are recorded from PPC using two-photon calcium imaging. Detailed information about data collection can be found in:
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+This repository contains pre-processed behavioral data and neural data collected from mice performing an evidence accumulation task in a virtual reality (VR) environment. Neural data are recorded from PPC using two-photon calcium imaging. Detailed information about data collection can be found in:
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Morcos A. S., Harvey C. D. 2016. History-dependent variability in population dynamics during evidence accumulation in cortex, Nature Neuroscience. doi: https://doi.org/10.1038/nn.4403
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@@ -14,28 +14,28 @@ Data are available in three different versions, that differ in how data is selec
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### Version 1 (AM*_yymmdd_processed.mat)
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-This data version contains one .mat file for each session (PPC) for a total of 11 sessions. Each .mat file contains a cell called imTrials, with dimensionality equal to the number of trials. Each element of the cell contains:
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+This data version contains one .mat file for each session (PPC) for a total of 11 sessions. Each .mat file contains a cell array called imTrials, with dimensionality equal to the number of trials. Each element of the cell array contains:
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- The field imaging with the following imaging data:
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o dF/F traces;
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o deconvolved traces;
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-o spatial-binned deconvolved traces, averaged over 10 trial epochs described in Morcos et Harvey, Nat Neurosci, 2016.
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-o Neural variables consist of deconvolved dF/F traces at the two-photon microscope sampling rate;
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+o spatial-binned deconvolved traces, averaged over 10 trial epochs described in Morcos et Harvey, Nat. Neurosci., 2016.
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+o Neural variables consist of the deconvolved dF/F traces at the two-photon microscope sampling rate;
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- The field dat with other measured variables;
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- The field result with additional trial info (leftTurn, correct).
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### Version 2 (data_simple_morcos_per_Epoch.mat)
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-This data version contains onsists of a single .mat file containing a matlab struct with dimension equal to the number of sessions. Each row of the structure refers to a single session and contains the following fields:
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-- Neural_data: spatial-binned deconvolved traces, averaged over 10 trial epochs described in Morcos et Harvey, Nat Neurosci, 2016;
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+This data version consists of a single .mat file that contains a matlab struct with dimension equal to the number of sessions. Each row of the structure refers to a single session and contains the following fields:
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+- Neural_data: spatial-binned deconvolved traces, averaged over 10 trial epochs described in Morcos et Harvey, Nat. Neurosci., 2016;
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- Stimuli: binary array with 1 for stimuli with net evidence on the left, 0 for stimuli with net evidence on the right;
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-- Fine_evidence_last_cue: final net evidence (difference between left and right total evidence).
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+- Fine_evidence_last_cue: final net evidence (difference between left and right total evidence);
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- Choices: binary array with 1 for trials with left turn, 0 for for trial with right turn;
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-- Lateral_speed: spatial-binned behavioral data, averaged over the same 10 trial epochs as imaging data (described in Morcos et Harvey, Nat Neurosci, 2016).
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+- Lateral_speed: spatial-binned behavioral data, averaged over the same 10 trial epochs as imaging data (described in Morcos et Harvey, Nat. Neurosci., 2016).
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### Version 3 (data_simple_morcos_per_Window.mat)
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-This data version contains onsists of a single .mat file containing a matlab struct with dimension equal to the number of sessions. Each row of the structure refers to a single session and contains the following fields:
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+This data version consists of a single .mat file that contains a matlab struct with dimension equal to the number of sessions. Each row of the structure refers to a single session and contains the following fields:
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- Neural_data: spatial-binned deconvolved traces, averaged over 7 turn-aligned windows of different length;
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- Stimuli: binary array with 1 for stimuli with net evidence on the left, 0 for stimuli with net evidence on the right;
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-- Stimuli_fine: final net evidence (difference between left and right total evidence).
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+- Stimuli_fine: final net evidence (difference between left and right total evidence);
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- Choices: binary array with 1 for trials with left turn, 0 for for trial with right turn.
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