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fix to design matrix parameters

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Tyler
2026-03-17 12:50:43 -07:00
parent 1b23f2f81a
commit 4922405138
1 changed files with 3 additions and 3 deletions
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main.py
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@@ -182,15 +182,15 @@ SECTIONS = [
{ {
"title": "Design Matrix", "title": "Design Matrix",
"params": [ "params": [
{"name": "RESAMPLE", "default": True, "type": bool, "help": "Should the data be resampled before calculating the design matrix? Downsampling is useful for speeding up calculations without loosing overall data shape."}, {"name": "RESAMPLE", "default": True, "type": bool, "help": "Should the data be resampled before calculating the design matrix? Downsampling is useful for speeding up calculations without losing overall data shape."},
{"name": "RESAMPLE_FREQ", "default": 1, "type": int, "help": "The frequency the data should be resampled to."}, {"name": "RESAMPLE_FREQ", "default": 1, "type": int, "help": "The frequency the data should be resampled to."},
{"name": "HRF_MODEL", "default": ["fir"], "type": list, "options": ["fir", "glover", "spm", "spm + derivative", "spm + derivative + dispersion", "glover + derivative", "glover + derivative + dispersion"], "exclusive": True, "help": "Specifies the haemodynamic response function."}, {"name": "HRF_MODEL", "default": ["fir"], "type": list, "options": ["fir", "glover", "spm", "spm + derivative", "spm + derivative + dispersion", "glover + derivative", "glover + derivative + dispersion"], "exclusive": True, "help": "Specifies the haemodynamic response function."},
{"name": "STIM_DUR", "default": 0.5, "type": float, "help": "The length of your stimulus. If your HRF_MODEL is fir, this dictates how wide a bin should be."}, {"name": "STIM_DUR", "default": 0.5, "type": float, "help": "The length of your stimulus. If your HRF_MODEL is fir, this dictates how wide a bin should be."},
{"name": "DRIFT_MODEL", "default": ["cosine"], "type": list, "options": ["cosine", "polynomial"], "help": "Specifies the desired drift model."}, {"name": "DRIFT_MODEL", "default": ["cosine"], "type": list, "options": ["cosine", "polynomial"], "help": "Specifies the desired drift model."},
{"name": "HIGH_PASS", "default": 0.01, "type": float, "help": "High-pass frequency in case of a cosine model (in Hz)."}, {"name": "HIGH_PASS", "default": 0.01, "type": float, "help": "High-pass frequency in case of a cosine model (in Hz)."},
{"name": "DRIFT_ORDER", "default": 1, "type": int, "help": "Order of the drift model (in case it is polynomial)"}, {"name": "DRIFT_ORDER", "default": 1, "type": int, "help": "Order of the drift model (in case it is polynomial)"},
{"name": "FIR_DELAYS", "default": 15, "type": range, "depends_on": "HRF_MODEL", "depends_value": "fir", "help": "In case of FIR design, yields the array of delays used in the FIR model (in scans)."}, {"name": "MIN_ONSET", "default": -24, "type": int, "help": "Minimal onset relative to frame times (in seconds)"}, {"name": "FIR_DELAYS", "default": 15, "type": range, "depends_on": "HRF_MODEL", "depends_value": "fir", "help": "In case of FIR design, yields the array of delays used in the FIR model (in scans)."},
{"name": "MIN_ONSET", "default": -24, "type": int, "help": "Minimal onset relative to frame times (in seconds)"},
{"name": "OVERSAMPLING", "default": 50, "type": int, "help": "Oversampling factor used in temporal convolutions."}, {"name": "OVERSAMPLING", "default": 50, "type": int, "help": "Oversampling factor used in temporal convolutions."},
{"name": "REMOVE_EVENTS", "default": "None", "type": list, "help": "Remove events matching the names provided before generating the Design Matrix"}, {"name": "REMOVE_EVENTS", "default": "None", "type": list, "help": "Remove events matching the names provided before generating the Design Matrix"},
{"name": "SHORT_CHANNEL_REGRESSION", "default": True, "type": bool, "depends_on": "SHORT_CHANNEL", "help": "Should short channel regression be used to create the design matrix? This will use the 'signal' from the short channel and regress it out of all other channels."}, {"name": "SHORT_CHANNEL_REGRESSION", "default": True, "type": bool, "depends_on": "SHORT_CHANNEL", "help": "Should short channel regression be used to create the design matrix? This will use the 'signal' from the short channel and regress it out of all other channels."},