{"id":"W3156389892","doi":"10.7554/elife.68848","title":"Corollary discharge promotes a sustained motor state in a neural circuit for navigation","year":2021,"lang":"en","type":"article","venue":"eLife","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institute of General Medical Sciences; Burroughs Wellcome Fund","keywords":"Interneuron; Neuroscience; Optogenetics; Corollary; Efference copy; Sensory system; Postsynaptic potential; Motor neuron; Biological neural network; Hebbian theory; Caenorhabditis elegans; Biology; Computer science; Inhibitory postsynaptic potential; Artificial intelligence; Artificial neural network; Spinal cord","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":[0.0001020715,0.0001865464,0.0001558379,0.0001215886,0.0001354687,0.0001908771,0.0002898404,0.0002318462,0.0008326763],"category_scores_gemma":[0.0001800915,0.0001057621,0.0001428145,0.00004391533,0.0003208016,0.0002089745,0.0003673183,0.0004472658,0.0001236067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000329309,"about_ca_system_score_gemma":0.0002336927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000389336,"about_ca_topic_score_gemma":0.001188991,"domain_scores_codex":[0.9999394,0.000003928339,0.000004449044,0.00002301464,0.00001534641,0.00001376688],"domain_scores_gemma":[0.9999008,0.00001243722,0.00002997686,0.00001278136,0.00001291612,0.00003114556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003554298,0.000005166394,0.0002740143,0.000007568376,0.000001609081,0.00003114273,0.000007596136,0.00006466217,0.9977885,0.0002016703,0.00001246225,0.001569905],"study_design_scores_gemma":[0.00003079312,0.0003657627,0.02744577,0.000007531154,0.00001925438,0.0005707128,0.00003793544,0.00590275,0.963531,0.0006084785,0.001470728,0.000009156637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900907,0.0001080466,0.008580741,0.00006626533,0.0000204707,0.000007356069,0.00004300493,0.0001623983,0.0009210533],"genre_scores_gemma":[0.9936811,0.00005895775,0.00434727,0.00002628125,0.000002966031,0.00001505712,0.00005045132,0.0000186564,0.001799393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008326763,"threshold_uncertainty_score":0.002785563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271843793211237,"score_gpt":0.2474274307626365,"score_spread":0.2347089928305241,"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."}}