{"id":"W2093071448","doi":"10.3389/fnbot.2014.00021","title":"Operant conditioning: a minimal components requirement in artificial spiking neurons designed for bio-inspired robot's controller","year":2014,"lang":"en","type":"article","venue":"Frontiers in Neurorobotics","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Spiking neural network; Artificial intelligence; Robot; Context (archaeology); Artificial neural network; Component (thermodynamics); Set (abstract data type); Operant conditioning; Behavior-based robotics; Habituation; Process (computing); Machine learning; Robotics; Neuroscience","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":[0.0001869732,0.0002892025,0.0002598743,0.00008825207,0.000152639,0.0003047789,0.0006810922,0.0002822549,0.001231242],"category_scores_gemma":[0.0009770864,0.0001102478,0.0002249374,0.00006947352,0.0004768537,0.0006596558,0.0003764051,0.0005512987,0.000150917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002488809,"about_ca_system_score_gemma":0.0003730872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004087131,"about_ca_topic_score_gemma":0.0005298743,"domain_scores_codex":[0.9998842,0.00001245756,0.00001001145,0.0000268865,0.0000480544,0.00001833012],"domain_scores_gemma":[0.9997802,0.00007268929,0.0000357143,0.00005091793,0.0000362467,0.00002418517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003575738,0.0001879215,0.001786888,0.0003482763,0.00006494299,0.000267677,0.0001319654,0.1432903,0.6071496,0.1418968,0.0006188561,0.1038994],"study_design_scores_gemma":[0.00002808325,0.0003221568,0.001601319,0.00001577815,0.00004554603,0.000194312,0.00001724637,0.8500418,0.1111048,0.03367078,0.00293972,0.00001834491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2214943,0.0001484895,0.7712418,0.0002033444,0.00004945851,0.0000873478,0.00004497703,0.0007230294,0.006007287],"genre_scores_gemma":[0.9325346,0.00006142323,0.06633867,0.00006151285,0.000009604507,0.00007646767,0.00003051066,0.00005308386,0.0008341947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001231242,"threshold_uncertainty_score":0.004118979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03343783858844007,"score_gpt":0.2482189252874156,"score_spread":0.2147810866989755,"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."}}