{"id":"W1975302642","doi":"10.1073/pnas.0337591100","title":"Gain control of firing rate by shunting inhibition: Roles of synaptic noise and dendritic saturation","year":2003,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Depolarization; Shunting; Neuroscience; Saturation (graph theory); Subthreshold conduction; Chemistry; Biophysics; Control theory (sociology); Biology; Computer science; Physics; Mathematics; Control (management); Artificial intelligence","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":[0.0003485019,0.000418041,0.0003719029,0.0002119355,0.0002709603,0.000711746,0.0004824509,0.0003869127,0.0005373819],"category_scores_gemma":[0.001975004,0.0002205321,0.0002848442,0.0001516561,0.0008733032,0.000983626,0.0007686368,0.0005212712,0.000139853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006462754,"about_ca_system_score_gemma":0.0003442956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005913909,"about_ca_topic_score_gemma":0.0005375489,"domain_scores_codex":[0.9998561,0.00002032264,0.0000132682,0.00002542003,0.00005755197,0.00002731302],"domain_scores_gemma":[0.9993948,0.0002920329,0.0001259351,0.0000757507,0.00004518298,0.00006640612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003469718,0.00008189116,0.003289825,0.00009986071,0.00002564765,0.0005122275,0.0002005765,0.05678565,0.871235,0.04303524,0.0001472421,0.02423977],"study_design_scores_gemma":[0.00006605715,0.0002097513,0.006810021,0.00002495567,0.00004923123,0.0009121266,0.00006705205,0.7280154,0.2115607,0.05098819,0.001240737,0.00005571027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8087063,0.0008401996,0.1797154,0.0007000394,0.00005208976,0.00002624053,0.00004749484,0.0005481951,0.009364156],"genre_scores_gemma":[0.9953364,0.0002440992,0.00395185,0.00002396035,0.00001178571,0.000006831265,0.000009757342,0.00002513625,0.0003902159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000711746,"threshold_uncertainty_score":0.004689097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331838398517038,"score_gpt":0.2574081574910622,"score_spread":0.2340897735058918,"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."}}