{"id":"W1497583041","doi":"10.1007/978-1-4614-7320-6_390-2","title":"Correlation Analysis of Parallel Spike Trains","year":2019,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Spike (software development); Train; Computer science; Correlation; Mathematics; Geometry; Cartography; Geography","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":[0.0005801976,0.0005362703,0.0004762561,0.0009633693,0.0002542863,0.00080309,0.0007500766,0.0004111626,0.004393786],"category_scores_gemma":[0.002276218,0.0003171467,0.0006427783,0.001322913,0.0003468705,0.0008641083,0.0006632787,0.0006717332,0.001150213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004034319,"about_ca_system_score_gemma":0.0005989376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506601,"about_ca_topic_score_gemma":0.001800293,"domain_scores_codex":[0.999681,0.0000649436,0.00001830062,0.00006421736,0.000140594,0.00003090164],"domain_scores_gemma":[0.9992125,0.000425367,0.00007718119,0.0001036908,0.0001475473,0.00003365994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003417213,0.0001165214,0.001675665,0.0005108794,0.000247131,0.0004474101,0.0002004804,0.2453532,0.0608835,0.2047825,0.0199771,0.465464],"study_design_scores_gemma":[0.000004816327,0.00001722889,0.001108852,0.00001437075,0.000013004,0.0001336019,0.00001268181,0.9642391,0.005473379,0.0252129,0.003751633,0.00001855513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01949563,0.000848591,0.971666,0.0001512131,0.000130624,0.0000294901,0.0002533312,0.001121593,0.006303547],"genre_scores_gemma":[0.5024592,0.002959409,0.465888,0.0001873475,0.000463101,0.0001605846,0.002462691,0.001519477,0.02390017],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004393786,"threshold_uncertainty_score":0.01469868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413197624387065,"score_gpt":0.2518169961454356,"score_spread":0.2276850199015649,"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."}}