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Merged
merged 4 commits into from
Mar 3, 2023
Merged

Add modulator #190

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3f4baf6
add possibility to subtract behavior mean in NeuroNormalizer
Feb 27, 2023
eb2ae3f
Add modulator
Feb 28, 2023
7902609
Change order of imports for isort
Feb 28, 2023
a64fb3d
Fix dimensions of output array when `n_parameters_to_modulate` is equ…
Mar 1, 2023
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add possibility to subtract behavior mean in NeuroNormalizer
  • Loading branch information
kklur committed Feb 27, 2023
commit 3f4baf65242860b330838810c7259ddf120c7ef5
11 changes: 8 additions & 3 deletions neuralpredictors/data/transforms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -316,7 +316,9 @@ class NeuroNormalizer(MovieTransform, StaticTransform, Invertible):
1% of the mean std (to avoid division by 0)
"""

def __init__(self, data, stats_source="all", exclude=None, inputs_mean=None, inputs_std=None):
def __init__(
self, data, stats_source="all", exclude=None, inputs_mean=None, inputs_std=None, subtract_behavior_mean=False
):

self.exclude = exclude or []

Expand Down Expand Up @@ -362,10 +364,13 @@ def __init__(self, data, stats_source="all", exclude=None, inputs_mean=None, inp
if "behavior" in data.data_keys:
s = np.array(data.statistics["behavior"][stats_source]["std"])

self.behavior_mean = (
0 if not subtract_behavior_mean else np.array(data.statistics["behavior"][stats_source]["mean"])
)
self._behavior_precision = 1 / s
# -- behavior
transforms["behavior"] = lambda x: x * self._behavior_precision
itransforms["behavior"] = lambda x: x / self._behavior_precision
transforms["behavior"] = lambda x: (x - self.behavior_mean) * self._behavior_precision
itransforms["behavior"] = lambda x: x / self._behavior_precision + self.behavior_mean

self._transforms = transforms
self._itransforms = itransforms
Expand Down