{"id":"W4385999592","doi":"10.1007/s00422-023-00971-y","title":"A Fundamental Inequality Governing the Rate Coding Response of Sensory Neurons","year":2023,"lang":"en","type":"article","venue":"Biological Cybernetics","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Coding (social sciences); Sensory system; Neural coding; Auditory system; Adaptation (eye); Mathematics; Psychology; Neuroscience; Computer science; Cognitive science; Cognitive psychology; Mathematical analysis; Statistics","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":[0.001644652,0.0004217031,0.0007749474,0.0004896072,0.0007035452,0.002430783,0.00133685,0.001937293,0.006743076],"category_scores_gemma":[0.01147337,0.000352704,0.0003921507,0.0003918357,0.002018323,0.003700644,0.001648313,0.002028428,0.0009180427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019534,"about_ca_system_score_gemma":0.0007108512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001480644,"about_ca_topic_score_gemma":0.0008538239,"domain_scores_codex":[0.9992656,0.0001572975,0.00003851512,0.0001956385,0.0001893437,0.0001536299],"domain_scores_gemma":[0.995097,0.003664823,0.0002856069,0.0003568857,0.0003875543,0.0002080842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005892037,0.00002219169,0.0003859295,0.00008035914,0.00001366867,0.000114684,0.0001844572,0.01424055,0.01911056,0.9570145,0.001370739,0.007403367],"study_design_scores_gemma":[0.00002027392,0.00003754073,0.001602845,0.00004079876,0.000008701681,0.0002198324,0.00006617002,0.2539197,0.002870105,0.740199,0.0009771114,0.00003801622],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2229232,0.001453695,0.6706364,0.008813431,0.0004319409,0.00006299497,0.0007452914,0.0002968027,0.09463634],"genre_scores_gemma":[0.9725205,0.0006474994,0.0177518,0.0005236499,0.0002861161,0.00007097815,0.0001474126,0.0001578722,0.007894102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006743076,"threshold_uncertainty_score":0.02255785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.138255678978477,"score_gpt":0.3097525028458389,"score_spread":0.171496823867362,"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."}}