{"id":"W4396845544","doi":"10.1016/j.neubiorev.2024.105718","title":"Mobile neuroimaging: What we have learned about the neural control of human walking, with an emphasis on EEG-based research","year":2024,"lang":"en","type":"review","venue":"Neuroscience & Biobehavioral Reviews","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health; National Science Foundation","keywords":"Electroencephalography; Neuroimaging; Neuroscience; Brain activity and meditation; Neural correlates of consciousness; EEG-fMRI; Psychology; Computer science; Human brain; Artificial intelligence; Cognition","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002139401,0.0009979611,0.001570287,0.002884864,0.0003746299,0.001919821,0.00125022,0.002310688,0.002980939],"category_scores_gemma":[0.003807846,0.0004044096,0.0006472295,0.00268039,0.001819764,0.00423893,0.0009655116,0.002863655,0.001993383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031002,"about_ca_system_score_gemma":0.002215393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753035,"about_ca_topic_score_gemma":0.003141387,"domain_scores_codex":[0.9996219,0.00009088076,0.00005307533,0.00009011094,0.0001096392,0.0000344023],"domain_scores_gemma":[0.9972847,0.001883987,0.0001436195,0.0000787738,0.0004827364,0.0001262081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006332248,0.00003634206,0.0002540595,0.01780578,0.00009196687,0.0001528092,0.0001526911,0.0002320573,0.0008228599,0.008987921,0.03045524,0.940945],"study_design_scores_gemma":[0.00001415026,0.0001192486,0.001754473,0.0125558,0.0001407471,0.001899123,0.0002184843,0.0001410754,0.0004110313,0.01066124,0.9720357,0.00004881915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004391236,0.9983572,0.000127331,0.0007890111,0.0002233776,0.000002062442,0.000009346762,0.000004211208,0.0004435812],"genre_scores_gemma":[0.0004439354,0.998233,0.0001969714,0.0004378277,0.0004675309,0.000005223461,0.00001485802,0.000002331612,0.0001983058],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002980939,"threshold_uncertainty_score":0.01131439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4060106327620829,"score_gpt":0.5014492876724354,"score_spread":0.09543865491035242,"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."}}