{"id":"W2110739573","doi":"10.1117/12.497143","title":"Oscillatory network coding of a global stimulus","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"stochastic dynamics and bifurcation","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Stimulus (psychology); Inhibitory postsynaptic potential; Physics; Biological neural network; Gaussian; Oscillation (cell signaling); Biological system; Neural coding; Gaussian noise; Computer science; Conductance; Statistical physics; Neuroscience; Artificial intelligence; Psychology; Chemistry; Biology; Quantum mechanics","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":[0.0001119436,0.0001447095,0.0001556665,0.0001042611,0.000157248,0.0002634055,0.0002410082,0.0002366267,0.001238753],"category_scores_gemma":[0.0006133228,0.00007920569,0.0001613208,0.00008880994,0.0003111291,0.0004106856,0.0002619532,0.000236534,0.00006951017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003583762,"about_ca_system_score_gemma":0.0002451216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001960192,"about_ca_topic_score_gemma":0.001716575,"domain_scores_codex":[0.9999692,0.000007024675,0.00000118505,0.00000657924,0.00000799088,0.000008023372],"domain_scores_gemma":[0.9998955,0.00004158861,0.00001923312,0.000009311,0.00001707239,0.00001739358],"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":[0.0001640087,0.00005621671,0.002616979,0.00006037157,0.00003463579,0.0002861754,0.0001767446,0.7892463,0.1732094,0.02419781,0.0004031354,0.009548163],"study_design_scores_gemma":[0.00001722623,0.00003177894,0.001610842,0.000003606361,0.000008465825,0.00003632524,0.00001930474,0.9887813,0.005104134,0.004168899,0.0002116668,0.000006442554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457141,0.00004466649,0.04973326,0.0001411146,0.00001788471,0.00001151985,0.0000432754,0.0001101588,0.004184008],"genre_scores_gemma":[0.9976501,0.00002365397,0.001816625,0.000007698848,0.000002005987,0.000006697064,0.00001317963,0.00000813252,0.0004718879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001960192,"threshold_uncertainty_score":0.004144073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007632335659826049,"score_gpt":0.2224906040296682,"score_spread":0.2148582683698422,"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."}}