{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001519431,0.0001128585,0.0001157989,0.0001088536,0.0002995506,0.00003599283,0.0003603317,0.0001338198,0.00001165814],"category_scores_gemma":[0.0005268863,0.00007973888,0.00004404092,0.0002479754,0.0002075993,0.0002175831,0.0001861455,0.000353088,0.000007047302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004743159,"about_ca_system_score_gemma":0.00001197263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001904681,"about_ca_topic_score_gemma":0.000023816,"domain_scores_codex":[0.9990638,0.0001612571,0.0002136594,0.0002358919,0.0001780754,0.0001472802],"domain_scores_gemma":[0.9985784,0.000630388,0.0001511273,0.0005245821,0.00006818596,0.00004736156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002460174,0.00007656217,0.002127054,0.000007215614,0.000002970477,2.627144e-7,0.0001237514,0.0001295004,0.9825549,0.003519404,0.000929271,0.01050455],"study_design_scores_gemma":[0.002375813,0.000359432,0.06866527,0.0002741686,0.00007588246,0.00008160619,0.0003197079,0.856286,0.04989005,0.001100165,0.01970848,0.0008633939],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929693,0.000427537,0.0006686611,0.004904821,0.0004461723,0.000238826,0.0000578753,0.00006443275,0.0002223614],"genre_scores_gemma":[0.9986834,0.0004131649,0.0002870924,0.0002688185,0.00002463612,0.00001245269,0.00004075614,0.00001215477,0.0002575532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9326648,"threshold_uncertainty_score":0.3251657,"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."}}