{"id":"W1972062140","doi":"10.1103/physreve.85.040902","title":"Signal integration enhances the dynamic range in neuronal systems","year":2012,"lang":"en","type":"article","venue":"Physical Review E","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; York University","keywords":"Integrator; Bistability; Dynamic range; Leverage (statistics); Statistical physics; Phase transition; Time delay and integration; Control theory (sociology); Computer science; Stimulus (psychology); Non-equilibrium thermodynamics; Physics; Biological system; Condensed matter physics; Artificial intelligence; Voltage; Optoelectronics; Quantum mechanics; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002392115,0.0000982321,0.0001726147,0.00001767942,0.00005800307,0.00002815231,0.0001335622,0.00001105733,0.00001681351],"category_scores_gemma":[0.0002114332,0.00005438772,0.00007539315,0.0002598998,0.00004575251,0.0002344639,0.00002881505,0.0001814798,0.0001384297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002801485,"about_ca_system_score_gemma":0.000007659681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001066851,"about_ca_topic_score_gemma":0.000005786116,"domain_scores_codex":[0.998985,0.000264249,0.0001676203,0.0001658426,0.0002194578,0.0001978204],"domain_scores_gemma":[0.9994092,0.0003298282,0.00007584926,0.0001325265,0.00001179677,0.00004082416],"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":[0.0000148396,0.0002709049,0.0001502067,0.0004126931,0.00000191615,0.000001849428,0.0001080203,0.00003589991,0.9089079,0.04186698,0.0003623405,0.04786642],"study_design_scores_gemma":[0.001341075,0.0009014159,0.0745538,0.00784861,0.0002479882,0.0001310997,0.0001197772,0.7389928,0.07829914,0.01274126,0.08289543,0.001927602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902663,0.004831546,0.0005122193,0.001602063,0.0007011438,0.0006775931,0.000006675285,0.0000371184,0.001365355],"genre_scores_gemma":[0.9953338,0.002900464,0.000001892982,0.001407641,0.0001834052,0.00007686355,0.000002429576,0.000007585542,0.00008591494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8306088,"threshold_uncertainty_score":0.2217867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0346051103648521,"score_gpt":0.3107457008676944,"score_spread":0.2761405905028423,"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."}}