{"id":"W2015738755","doi":"10.1016/j.brainres.2011.08.070","title":"Input-rate modulation of gamma oscillations is sensitive to network topology, delays and short-term plasticity","year":2011,"lang":"en","type":"article","venue":"Brain Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Australian Research Council","keywords":"Neuroscience; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Stimulus (psychology); Biological neural network; Physics; Computer science; Neural coding; Topology (electrical circuits); Spike-timing-dependent plasticity; Synaptic plasticity; Biological system; Mathematics; Biology; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002267865,0.0002763228,0.0002889032,0.0002226226,0.0001308901,0.0005452626,0.0002473706,0.0002219418,0.0008874498],"category_scores_gemma":[0.003215021,0.0002291215,0.0001771187,0.0001646162,0.0003017207,0.0005908369,0.0003171273,0.0004420482,0.0001224903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244647,"about_ca_system_score_gemma":0.0001190919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002778555,"about_ca_topic_score_gemma":0.0004422539,"domain_scores_codex":[0.9999154,0.00001545697,0.000007396529,0.00002321512,0.00002088649,0.00001765957],"domain_scores_gemma":[0.9989645,0.0005179853,0.000220412,0.0001044345,0.00008749009,0.0001050744],"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":[0.0004816283,0.00006908998,0.007971115,0.00008050337,0.00004938486,0.0001195641,0.0001159893,0.005518727,0.9694536,0.0008248527,0.0000781518,0.01523758],"study_design_scores_gemma":[0.0001441223,0.000717715,0.5603194,0.000064767,0.0002327193,0.001483026,0.0002618392,0.1405294,0.2855794,0.009718772,0.0008565948,0.00009230406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906526,0.0002031559,0.008127817,0.00004256779,0.00001864724,0.000008983828,0.00006033151,0.00004436568,0.0008417129],"genre_scores_gemma":[0.9986746,0.0001142162,0.0009341018,0.000007897728,0.000006271053,0.000005603592,0.00004567065,0.00002526813,0.0001862989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008874498,"threshold_uncertainty_score":0.002968848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1556783822373153,"score_gpt":0.3609258383662518,"score_spread":0.2052474561289365,"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."}}