{"id":"W2018429176","doi":"10.3389/fncom.2015.00044","title":"The CNP signal is able to silence a supra threshold neuronal model","year":2015,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute","funders":"","keywords":"Neuroscience; SIGNAL (programming language); Premovement neuronal activity; Endogeny; Pulse (music); Waveform; Inhibitory postsynaptic potential; Central nervous system; Biological neural network; Noise (video); Physics; Computer science; Biology; Telecommunications; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004552767,0.0002101141,0.0001636449,0.0001938134,0.0005082523,0.000325102,0.0009467029,0.00004300168,0.000003644493],"category_scores_gemma":[0.0005947952,0.0001699989,0.00006075394,0.001214148,0.000367538,0.0005205396,0.0002554294,0.0003063877,0.000029991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001052506,"about_ca_system_score_gemma":0.0003069767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007836539,"about_ca_topic_score_gemma":0.000002514852,"domain_scores_codex":[0.9969494,0.0001054697,0.0003441958,0.0008680045,0.001171127,0.0005617469],"domain_scores_gemma":[0.9989591,0.0002683623,0.0001015061,0.000269588,0.0001069993,0.0002944072],"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":[0.00008466072,0.00006354578,0.001236905,0.000002575022,3.863337e-7,0.00001758404,0.0001566547,0.9518188,0.01305254,0.005639334,0.02668357,0.001243455],"study_design_scores_gemma":[0.0002642274,0.0001569633,0.001557066,0.000007935364,0.000001650574,0.00002287463,0.0000393295,0.9485422,0.001564343,0.0447685,0.002885988,0.0001888817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5974339,0.00004479977,0.3813508,0.01362621,0.004913868,0.0007414353,0.00007805891,0.000135877,0.001674998],"genre_scores_gemma":[0.9774606,0.00001245624,0.004786632,0.0164806,0.0000613719,0.00003784553,0.000001805996,0.00002025506,0.001138385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3800268,"threshold_uncertainty_score":0.6932353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05528691126706343,"score_gpt":0.2759383821251153,"score_spread":0.2206514708580519,"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."}}