{"id":"W2049372373","doi":"10.1023/b:jcns.0000004838.67584.77","title":"Membrane Resonance and Stochastic Resonance Modulate Firing Patterns of Thalamocortical Neurons","year":2003,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Stochastic resonance; Subthreshold conduction; Noise (video); Resonance (particle physics); Physics; Neuroscience; Sine wave; Bistability; Biological system; Nuclear magnetic resonance; Computer science; Biology; Artificial intelligence; Quantum mechanics","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":[0.0001935566,0.00008738256,0.0001555218,0.0000761653,0.00007782738,0.00003178203,0.0001314205,0.00001259837,0.000009633737],"category_scores_gemma":[0.00008824797,0.00007729443,0.00005106317,0.0001632977,0.0001182706,0.0001662221,0.0000258311,0.0001307475,3.845985e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000775827,"about_ca_system_score_gemma":0.0000938664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002511888,"about_ca_topic_score_gemma":1.642384e-7,"domain_scores_codex":[0.9989601,0.00004031532,0.000362649,0.0001475082,0.0003541046,0.0001352621],"domain_scores_gemma":[0.9991901,0.0001916865,0.0003020008,0.00007205929,0.0001664082,0.00007776469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004197614,0.0002413564,0.03330829,0.00002096561,0.000007445866,0.000008933066,0.0001710697,0.6807433,0.007832383,0.263602,0.00001760646,0.01400466],"study_design_scores_gemma":[0.0007581031,0.0002351157,0.4585505,0.0001193029,0.00002148079,0.0001147885,0.00002998965,0.4960343,0.0005572294,0.04328072,0.0001399936,0.0001584685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6370088,0.00004271926,0.3625398,0.00008663648,0.0001878026,0.00004812144,0.00001010273,0.000001913502,0.00007413952],"genre_scores_gemma":[0.9981151,0.00000325469,0.001738112,0.00005665285,0.00005763361,0.000001105711,5.988759e-7,0.000006318003,0.00002121528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4252423,"threshold_uncertainty_score":0.3151976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242946031220753,"score_gpt":0.2496719828452294,"score_spread":0.2372425225330219,"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."}}