{"id":"W2084407515","doi":"10.1037/cjep2006029","title":"Neural synchrony in stochastic resonance, attention, and consciousness.","year":2006,"lang":"en","type":"review","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Consciousness; Perception; Psychology; Artificial neural network; Functional magnetic resonance imaging; Cognition; Noise (video); Neural activity; Cognitive science; Neural correlates of consciousness; Cognitive psychology; Neuroscience; Artificial intelligence; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006253205,0.0007442455,0.001601064,0.001508076,0.0002670064,0.0001334424,0.0009934795,0.0005597555,0.000135148],"category_scores_gemma":[0.0002344662,0.0007427796,0.0004374362,0.0007887812,0.0008610467,0.0002891134,0.00006263772,0.001205637,0.00002560574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787242,"about_ca_system_score_gemma":0.0006263771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002780711,"about_ca_topic_score_gemma":0.02579598,"domain_scores_codex":[0.9951531,0.0005031115,0.001492122,0.001178958,0.0001299731,0.001542765],"domain_scores_gemma":[0.9969392,0.0002520326,0.000951982,0.0005991852,0.00005494066,0.001202609],"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":[0.0005117667,0.002104316,0.00376031,0.002592331,0.0003302443,0.02870463,0.002880756,0.000189718,0.02791713,0.00454832,0.06867711,0.8577834],"study_design_scores_gemma":[0.007289343,0.003399289,0.004543138,0.01020644,0.0004760182,0.05816793,0.001354263,0.0002463489,0.0002525391,0.001782863,0.908608,0.003673864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1127413,0.880725,0.00002640861,0.0002298058,0.004222133,0.0007984551,0.0001953658,0.0000223556,0.001039172],"genre_scores_gemma":[0.5614653,0.4342621,0.0002005011,0.001983785,0.0008096417,0.0001899393,0.000083484,0.0002568853,0.0007483126],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8541095,"threshold_uncertainty_score":0.9995023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06136368350910985,"score_gpt":0.3342629914014703,"score_spread":0.2728993078923604,"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."}}