{"id":"W4407128543","doi":"10.1371/journal.pcbi.1012794","title":"Contributions of action potentials to scalp EEG: Theory and biophysical simulations","year":2025,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Electroencephalography; Spectral density; Scalp; Neuroscience; Amplitude; Biological system; Electrophysiology; Physics; Local field potential; Spectral analysis; Neural activity; Pattern recognition (psychology); Statistical physics; Computer science; Artificial intelligence; Biology; Spectroscopy; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005105746,0.0005040666,0.0005531259,0.0007420906,0.0003805406,0.0007323641,0.001160941,0.001553032,0.001882237],"category_scores_gemma":[0.003398293,0.0004415325,0.0007592899,0.0004900087,0.001113273,0.001061314,0.0006547646,0.0007026517,0.0002746114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006881882,"about_ca_system_score_gemma":0.0005463337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006452234,"about_ca_topic_score_gemma":0.00284709,"domain_scores_codex":[0.9998627,0.00005240861,0.000007408967,0.0000194599,0.00003551592,0.00002255692],"domain_scores_gemma":[0.9990731,0.0006364436,0.00007428021,0.00005161527,0.00008549305,0.00007892682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002062994,0.0000195336,0.0004294832,0.00003929724,0.00001374777,0.00009272699,0.00004970328,0.9821685,0.00174102,0.0132917,0.0002384377,0.001895177],"study_design_scores_gemma":[0.000003239098,0.00000262597,0.00007550413,0.000002948378,0.00000153678,0.000007787863,0.000002917415,0.9967051,0.000065816,0.00305434,0.00007503274,0.000003062788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3491059,0.001545277,0.6186442,0.002035556,0.0002167711,0.0001703908,0.0005053179,0.0005745604,0.02720198],"genre_scores_gemma":[0.9737706,0.0009596724,0.02104327,0.0002040084,0.0001072545,0.0002731949,0.0001735104,0.0001572879,0.003311258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006452234,"threshold_uncertainty_score":0.01282936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550450081426356,"score_gpt":0.3232890571055946,"score_spread":0.297784556291331,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}