{"id":"W4311527722","doi":"10.3390/biomimetics7040226","title":"Biomechanical and Sensory Feedback Regularize the Behavior of Different Locomotor Central Pattern Generators","year":2022,"lang":"en","type":"article","venue":"Biomimetics","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Biological Infrastructure; Medical Research Council; Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft; UK Research and Innovation; National Science Foundation","keywords":"Central pattern generator; Entrainment (biomusicology); Excitatory postsynaptic potential; Sensory system; Neuroscience; Computer science; Work (physics); Rhythm; Control theory (sociology); Biological system; Psychology; Physics; Biology; Artificial intelligence; Acoustics; Inhibitory postsynaptic potential","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":[0.0001655321,0.0002908269,0.0002139471,0.0002376706,0.0001907277,0.0003877111,0.0004160489,0.0005162408,0.001071235],"category_scores_gemma":[0.001215849,0.0002426463,0.0004101057,0.0001131817,0.0004352049,0.0005378369,0.0004171286,0.0003536818,0.000104541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003033853,"about_ca_system_score_gemma":0.0003651917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530176,"about_ca_topic_score_gemma":0.001665092,"domain_scores_codex":[0.9999398,0.00001259296,0.000003787971,0.00001479382,0.00001591568,0.00001300049],"domain_scores_gemma":[0.9997943,0.00008167572,0.00004263774,0.00002703446,0.00002505731,0.00002925231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008451897,0.00007915372,0.005345211,0.0000987215,0.00006792365,0.0002636267,0.0001033261,0.8809596,0.0987846,0.007776701,0.0002076465,0.006228839],"study_design_scores_gemma":[0.00001267389,0.00003889166,0.002515346,0.000004034194,0.00001203088,0.00003991884,0.00002143682,0.9931741,0.002254614,0.001784647,0.0001335344,0.000008785546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9230788,0.0001042915,0.07239431,0.0001831966,0.00002246459,0.00003462588,0.00007465672,0.0001858717,0.003921766],"genre_scores_gemma":[0.9967703,0.00002549828,0.002815837,0.00001074598,0.000001507563,0.0000163093,0.00001342944,0.00001041574,0.0003358699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001530176,"threshold_uncertainty_score":0.00358367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071071088890451,"score_gpt":0.1925193270178512,"score_spread":0.1818086161289467,"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."}}