{"id":"W4304695089","doi":"10.1016/j.neuron.2022.09.001","title":"In vitro neurons learn and exhibit sentience when embodied in a simulated game-world","year":2022,"lang":"en","type":"article","venue":"Neuron","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":359,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Economic and Social Research Council; Horizon 2020 Framework Programme; Murdoch Children's Research Institute; Monash University; National Health and Medical Research Council; European Commission; Medical Research Council; Children’s Hospital of Wisconsin Research Institute; Wellcome Trust","keywords":"Computer science; Sentience; Embodied cognition; Inference; Neuroscience; Sensory system; Artificial intelligence; Biological neural network; Human–computer interaction; Machine learning; Psychology","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":[0.000105458,0.000225967,0.0001063827,0.00006050923,0.000160594,0.0004253366,0.000464121,0.0002970573,0.001021114],"category_scores_gemma":[0.0004668639,0.0001442065,0.0001864879,0.00004269353,0.0004951801,0.0003755802,0.0005724312,0.0004420215,0.0002332813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305491,"about_ca_system_score_gemma":0.0001732115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007017,"about_ca_topic_score_gemma":0.001913505,"domain_scores_codex":[0.9999477,0.000008593356,0.000003516591,0.00001654502,0.00001477685,0.000008863983],"domain_scores_gemma":[0.9998654,0.00005667061,0.0000201905,0.0000225149,0.0000103723,0.0000248869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003713401,0.00005780523,0.001675516,0.00005288726,0.000024723,0.0001468928,0.0001997588,0.0111062,0.976498,0.003019708,0.00021705,0.006964361],"study_design_scores_gemma":[0.00002816392,0.0005108364,0.009978387,0.00001956873,0.00004262679,0.0004040849,0.0002420947,0.1082208,0.8676756,0.005691568,0.007154515,0.00003180432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939975,0.0001067845,0.05621855,0.0002132666,0.00003925721,0.00002670307,0.0001257266,0.0002585327,0.003036237],"genre_scores_gemma":[0.975652,0.0001318942,0.02195809,0.00006817321,0.000003574082,0.00003987688,0.0001109401,0.00002466622,0.002010864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001021114,"threshold_uncertainty_score":0.003416002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358248984385172,"score_gpt":0.2471118216036961,"score_spread":0.2235293317598444,"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."}}