{"id":"W2896499120","doi":"10.1101/445064","title":"Fast two-photon volumetric imaging of an improved voltage indicator reveals electrical activity in deeply located neurons in the awake brain","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Fédération pour la Recherche sur le Cerveau; Canadian Institutes of Health Research; Epilepsy Society; Centre National de la Recherche Scientifique; China Scholarship Council; National Natural Science Foundation of China; Fondation pour la Recherche Médicale; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche; Université Laval","keywords":"Subthreshold conduction; Temporal resolution; Millisecond; Two-photon excitation microscopy; Neuroimaging; Neuroscience; Fluorescence-lifetime imaging microscopy; Premovement neuronal activity; Physics; Materials science; Voltage; Fluorescence; Optics; Biology","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":[0.0001627071,0.0002233682,0.0001694615,0.0001359147,0.0000999205,0.0002958271,0.0003008239,0.0002953272,0.000452171],"category_scores_gemma":[0.0001447193,0.0001255465,0.0001478355,0.0001037881,0.0003086322,0.000284275,0.0003776928,0.0005848768,0.00008933128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002573995,"about_ca_system_score_gemma":0.0001706507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004913326,"about_ca_topic_score_gemma":0.0008540082,"domain_scores_codex":[0.9999441,0.000005527069,0.000003014585,0.00001652484,0.00001523319,0.00001564342],"domain_scores_gemma":[0.9999065,0.00002149459,0.0000304821,0.00001014109,0.00001107988,0.0000202726],"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":[0.00001641122,0.000003759432,0.0000808339,0.000006379452,0.000001179025,0.000012533,0.000006529515,0.00006858779,0.9992781,0.00009089769,0.00001158061,0.0004231655],"study_design_scores_gemma":[0.000006208632,0.00007278427,0.002350914,0.000002536216,0.000004469974,0.00007929553,0.00001201878,0.002537216,0.9944695,0.00007776449,0.0003830795,0.000004225295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762764,0.0001455367,0.02271595,0.00006122153,0.000008751263,0.00001655388,0.0001446549,0.0001117154,0.0005192339],"genre_scores_gemma":[0.9751902,0.0002426136,0.02267699,0.00004405455,0.000005678641,0.00004671442,0.0001777808,0.0000638698,0.001552165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004913326,"threshold_uncertainty_score":0.001867592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431081896792294,"score_gpt":0.2408873071899018,"score_spread":0.2265764882219788,"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."}}