{"id":"W1595266364","doi":"10.1038/npre.2007.1254.1","title":"Beyond Spike Timing Theory – Thermodynamics of Neuronal Computation","year":2007,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Transfer entropy; Information transfer; Information theory; Entropy (arrow of time); Computation; Mutual information; Computer science; Statistical physics; Ionic bonding; Information flow; Biological system; Ion; Thermodynamics; Chemistry; Physics; Artificial intelligence; Principle of maximum entropy; Algorithm; Mathematics; Statistics; Biology","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006429567,0.0003524616,0.0003587898,0.0003079005,0.0001122525,0.00008106133,0.0005010182,0.0009448516,0.00003401488],"category_scores_gemma":[0.0007171235,0.0003283414,0.0002125607,0.0002882463,0.0001518194,0.0001288905,0.00059513,0.002643518,0.00000624152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009442951,"about_ca_system_score_gemma":0.00006574208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000565493,"about_ca_topic_score_gemma":0.000003213962,"domain_scores_codex":[0.9976492,0.0001307048,0.0004432779,0.0008114228,0.0006376652,0.0003277419],"domain_scores_gemma":[0.9981317,0.0007642184,0.0005752107,0.0002887171,0.00015896,0.00008117163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004450974,0.000176999,0.0002219329,0.0005026227,0.00003541865,0.00002280985,0.0005803685,0.01142496,0.824961,0.1084884,0.000464281,0.05267608],"study_design_scores_gemma":[0.0008173455,0.0002988185,0.007514356,0.0004789561,0.0001676227,0.00007338305,0.00005456571,0.2663812,0.2177363,0.5045509,0.0007326452,0.001193864],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465683,0.0001298034,0.01510937,0.0003542728,0.005287814,0.0006201703,0.0001143784,0.0001899108,0.03162599],"genre_scores_gemma":[0.9968317,0.00006262379,0.00112191,0.001232832,0.0003026057,0.000008719044,0.00007248353,0.0000600197,0.0003070778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6072247,"threshold_uncertainty_score":0.9999169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047469215317243,"score_gpt":0.2893253101139096,"score_spread":0.2688506179607372,"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."}}