{"id":"W2152923429","doi":"10.1016/j.jneumeth.2012.03.008","title":"A comparative analysis of integrating visual information in local neuronal ensembles","year":2012,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Institute on Deafness and Other Communication Disorders","keywords":"Spike (software development); Pattern recognition (psychology); Computer science; Artificial intelligence; Spike train; Millisecond; Neuroscience; Physics; Psychology","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":[0.0003592181,0.0001898607,0.0002592917,0.0005910038,0.0002585139,0.0004687191,0.0002592539,0.0002379121,0.002097018],"category_scores_gemma":[0.001357769,0.0001264731,0.0003826758,0.0005305525,0.0002323328,0.0006598897,0.0003473566,0.0002080568,0.0002105871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451265,"about_ca_system_score_gemma":0.0001912591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009535449,"about_ca_topic_score_gemma":0.001251761,"domain_scores_codex":[0.999912,0.00001583863,0.000005465597,0.00002436691,0.00002197145,0.00002030133],"domain_scores_gemma":[0.9996153,0.0001944352,0.00002922619,0.00003928746,0.00008064723,0.00004101888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008472436,0.00009028237,0.008542173,0.0001123303,0.000117472,0.000148002,0.0001716313,0.007914417,0.9099621,0.003728043,0.0001888216,0.06817757],"study_design_scores_gemma":[0.00007511377,0.0008675589,0.4182147,0.00002971542,0.0005148351,0.0009934583,0.0004284417,0.3660779,0.2030337,0.008025758,0.001667616,0.00007121477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628652,0.0003392273,0.03446015,0.0000305391,0.00001035139,0.00001487862,0.0001299228,0.00009571576,0.002054089],"genre_scores_gemma":[0.9911041,0.00009732921,0.008173064,0.000005822919,0.000006125742,0.00001467215,0.000130568,0.00003941098,0.0004288338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002097018,"threshold_uncertainty_score":0.007015228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09086193268992275,"score_gpt":0.4270663935026764,"score_spread":0.3362044608127537,"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."}}