Neuron dropout #165
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Neuron dropout #165
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rcanfield2
approved these changes
Mar 16, 2024
rcanfield2
reviewed
Apr 5, 2024
features/bmi_task_features.py
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| def _start_wait(self): | ||
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| # Decide which units to drop in this trial but don't actually drop them yet | ||
| if (self.gen_indices[self.target_index] == self.unit_drop_targets[self.unit_drop_group_idx] and |
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I think this should in 'in' instead of '==' in case there are multiple targets to drop a unit on.
rcanfield2
reviewed
Apr 5, 2024
features/bmi_task_features.py
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| ''' | ||
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| unit_drop_prob = traits.Float(0, desc="Probability of dropping a group of units from the decoder") | ||
| unit_drop_groups = traits.Array(value=[[0, 1], [2]], desc="Groups of unit indices to drop from the decoder one at a time") |
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Instead of being the unit indices to drop I think it should be based on the unit name/number.
rcanfield2
reviewed
Apr 5, 2024
features/bmi_task_features.py
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| Override the decoder to drop random units. Keep a record of what's going on in the `trial` data. | ||
| ''' | ||
| super()._start_targ_transition() | ||
| if self.target_index + 1 < self.chain_length and np.any(self.decoder_units_dropped): |
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If self.decoder_units_dropped is the name we'll have to add something like an np.where here.
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randomly drop neurons by setting their mean FR to zero
makes it so we can make a decoder with the property "unit_drop_prob" which controls the probability of each unit begin dropped on a given trial