{"id":"W4386716721","doi":"10.1007/978-3-031-42505-9_3","title":"Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge; Mount Royal University","funders":"","keywords":"Reinforcement learning; Computer science; Adaptation (eye); Artificial intelligence; Machine learning; Contrast (vision); 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":[0.0001570062,0.0003566961,0.0003550288,0.00009109953,0.000101894,0.0003115195,0.0004630695,0.0003888395,0.003148702],"category_scores_gemma":[0.0007396184,0.0000985158,0.000220277,0.0001020506,0.0001816691,0.0002658404,0.0003796143,0.0005448982,0.0003131749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001305783,"about_ca_system_score_gemma":0.0001424778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005329893,"about_ca_topic_score_gemma":0.0006310617,"domain_scores_codex":[0.9999462,0.000009207432,0.000002858113,0.00001905906,0.00001177606,0.00001087422],"domain_scores_gemma":[0.999868,0.0000666714,0.00001952091,0.00001523154,0.00001627769,0.00001416295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005105766,0.0004808473,0.00100714,0.0001829517,0.0001254604,0.0001733226,0.00007165624,0.2643666,0.2218525,0.007899153,0.00371648,0.4996134],"study_design_scores_gemma":[0.00003190084,0.0001855506,0.000964803,0.000007570886,0.00002745954,0.00006341316,0.000006540525,0.9822131,0.01180658,0.003582274,0.00110036,0.00001035349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4033626,0.00112571,0.5723335,0.000434503,0.0006864966,0.00007241226,0.00008067224,0.001981322,0.01992286],"genre_scores_gemma":[0.9757504,0.0001138184,0.02125752,0.00007065981,0.00003719103,0.00002310464,0.00002453423,0.00005912684,0.002663567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003148702,"threshold_uncertainty_score":0.01053345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395401067972311,"score_gpt":0.2235899583915149,"score_spread":0.1996359477117918,"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."}}