{"id":"W7133352279","doi":"10.15760/etd.4072","title":"Spike Timing Depended Plasticity Produces Unsupervised Learning of Synergistic Muscle Feedback in a Synthetical Neural Network","year":2025,"lang":"","type":"dissertation","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; UK Research and Innovation; Deutsche Forschungsgemeinschaft; Medical Research Council; Portland State University; National Science Foundation","keywords":"Sensory system; Proprioception; Agonistic behaviour; Biological neural network; Synapse; Spike (software development); Motor learning; Synaptic plasticity; Unsupervised learning; Afferent","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001920346,0.0001510572,0.0001734712,0.0001212632,0.000118755,0.0002132211,0.0002892505,0.0002047086,0.0006519069],"category_scores_gemma":[0.001022513,0.0001288433,0.0002229274,0.00009433173,0.0003736636,0.0003291649,0.0002704162,0.0002456075,0.00007281211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000280358,"about_ca_system_score_gemma":0.0001819715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007103023,"about_ca_topic_score_gemma":0.0008138023,"domain_scores_codex":[0.9999202,0.00001958158,0.00000484266,0.00002461098,0.00001781917,0.00001293902],"domain_scores_gemma":[0.9996929,0.0001413649,0.00005970685,0.0000416521,0.00003705936,0.00002732685],"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":[0.00009400927,0.00005204985,0.001932956,0.00005200104,0.0000513881,0.0001869482,0.00009665935,0.8806712,0.07906628,0.01140767,0.0002492586,0.02613971],"study_design_scores_gemma":[0.000002218662,0.00002341999,0.0004952746,9.453533e-7,0.000002678607,0.00002343071,0.000003856694,0.9956778,0.00227074,0.001399334,0.00009819336,0.000002138421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7118349,0.00007413447,0.2844096,0.0001468551,0.00002127286,0.00001908694,0.00004773148,0.0002050417,0.00324139],"genre_scores_gemma":[0.9914937,0.00002519313,0.0078471,0.00001177247,0.000003244744,0.000009644677,0.00001779417,0.000008660138,0.0005828117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007103023,"threshold_uncertainty_score":0.002180815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558352427298909,"score_gpt":0.2376649995006156,"score_spread":0.2220814752276265,"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."}}