{"id":"W2340608709","doi":"10.1038/ncomms11353","title":"Temporal decorrelation by SK channels enables efficient neural coding and perception of natural stimuli","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Perception; Sensory system; Stimulus (psychology); Computer science; Neural coding; Neuroscience; Sensory Adaptation; Biology; Artificial intelligence; Psychology; Cognitive psychology","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":[0.0001548951,0.0001491492,0.0002043483,0.00008197966,0.0001574762,0.0003820536,0.0002595109,0.0002071745,0.0008907859],"category_scores_gemma":[0.0004300481,0.0001095706,0.000167616,0.00005266277,0.0004445662,0.000472991,0.0005566319,0.000403366,0.0001739908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988744,"about_ca_system_score_gemma":0.0002718789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004202125,"about_ca_topic_score_gemma":0.0007113913,"domain_scores_codex":[0.9999164,0.000007126937,0.000007277303,0.00002345639,0.00001657002,0.00002911726],"domain_scores_gemma":[0.9998401,0.00004260596,0.00005116403,0.00002341522,0.00001637721,0.00002633583],"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":[0.00009094084,0.000007084773,0.000142646,0.00002777949,0.000002534832,0.00002767356,0.00001209081,0.0002555251,0.9973374,0.0005936017,0.00002467848,0.001478014],"study_design_scores_gemma":[0.0000384755,0.0002732197,0.009959344,0.00001442903,0.00002765931,0.0003076454,0.00004267053,0.01378137,0.9707164,0.002415972,0.002400367,0.00002251032],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848291,0.0003045458,0.01269267,0.0001383646,0.00004375014,0.000009080966,0.00006494681,0.0001619137,0.00175557],"genre_scores_gemma":[0.996334,0.000196354,0.002832067,0.00004590757,0.000008433574,0.000007509609,0.00002716525,0.00002287709,0.0005257234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008907859,"threshold_uncertainty_score":0.002979994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02733516184899579,"score_gpt":0.2905625816834089,"score_spread":0.2632274198344131,"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."}}