{"id":"W2298043829","doi":"10.3389/fnsys.2016.00018","title":"A Role of Phase-Resetting in Coordinating Large Scale Neural Networks During Attention and Goal-Directed Behavior","year":2016,"lang":"en","type":"review","venue":"Frontiers in Systems Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation","keywords":"Biological neural network; Computer science; Stimulus (psychology); Neuroscience; Artificial neural network; Information transfer; Context (archaeology); Perception; Sensory system; Network dynamics; Artificial intelligence; Psychology; Cognitive psychology; Machine learning; Telecommunications; Biology; Mathematics","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":[0.0004047313,0.0007655939,0.000755999,0.001673275,0.0002989852,0.000919817,0.0008676652,0.001435974,0.001825759],"category_scores_gemma":[0.0006224885,0.0002233699,0.0002896539,0.001565611,0.0008821658,0.001645757,0.0008045182,0.001159336,0.001572105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007473226,"about_ca_system_score_gemma":0.0009527639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009771205,"about_ca_topic_score_gemma":0.001334171,"domain_scores_codex":[0.9998957,0.00001326934,0.00001614795,0.00003461424,0.00002853923,0.00001181436],"domain_scores_gemma":[0.9997918,0.00008548539,0.00003840392,0.00001029464,0.00005061037,0.0000233498],"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":[0.00006702673,0.00002583182,0.0003529375,0.01069022,0.00005573254,0.000216827,0.0001402177,0.00076617,0.005498889,0.01867775,0.01386773,0.9496406],"study_design_scores_gemma":[0.000009335804,0.00007798411,0.002482315,0.002686168,0.00007831419,0.001659494,0.00009850719,0.0002262881,0.001800781,0.01276126,0.9780832,0.00003627515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003870675,0.9950842,0.001124725,0.0004080393,0.0002426989,0.000007116331,0.00004571717,0.00002335884,0.002676957],"genre_scores_gemma":[0.002844538,0.9950083,0.000643835,0.0001779482,0.0002227702,0.0000131012,0.00005338852,0.000005176698,0.001030938],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001825759,"threshold_uncertainty_score":0.006107748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891408248668168,"score_gpt":0.2885725961639242,"score_spread":0.2696585136772425,"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."}}