Lateralized readiness potential (LRP) classification¶
Name: lrp
Category: brain-computer interfacing
Dataset:
Kappenman2020Lrp (ErpCore2021_LRP)Objective: Binary classification
Split: Leave-subjects-out
Usage¶
neuralbench eeg lrp
Show config.yaml
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#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
data:
study:
source:
name: Kappenman2021ErpLrp
split:
name: SklearnSplit
split_by: subject
valid_split_ratio: 0.2
test_split_ratio: 0.2
valid_random_state: 33
test_random_state: 33
neuro.baseline: [0.0, 0.2]
target:
=replace=: true
name: LabelEncoder
event_types: Stimulus
event_field: description
return_one_hot: true
aggregation: trigger
trigger_event_type: Stimulus
start: -0.2
duration: 1.0
summary_columns: [description]
compute_class_weights: true
brain_model_output_size: &brain_model_output_size 2
trainer_config.monitor: val/bal_acc
trainer_config.mode: max
trainer_config.patience: 10
loss:
name: CrossEntropyLoss
kwargs:
label_smoothing: 0.1
metrics: !!python/object/apply:neuralbench.defaults.metrics.get_classification_metric_configs
- *brain_model_output_size
Description¶
The lateralized readiness potential (LRP) classification task involves distinguishing left- vs. right-hand responses from EEG recordings. The LRP is an asymmetric motor preparation component that develops before a voluntary hand movement, reflecting the differential activation of contralateral motor cortex. We use the Kappenman2020Lrp dataset [Kappenman2020Lrp], part of the ERP CORE (Compendium of Open Resources and Experiments), which contains EEG data from 40 subjects performing a flanker task requiring left- or right-hand button presses.
References¶
[Kappenman2020Lrp]
Kappenman, E. S., et al. “ERP CORE: An open resource for human event-related potential research.” NeuroImage 225 (2021): 117465.