{"id":"W2574346082","doi":"","title":"Neural Cognitive Modelling: A Biologically Constrained Spiking Neuron Model of the Tower of Hanoi Task","year":2011,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Action selection; Basal ganglia; Neuroscience; Set (abstract data type); Task (project management); Computer science; Working memory; Cognition; Artificial intelligence; Cognitive science; Psychology; Engineering","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":[0.0001981032,0.0003512202,0.0004173203,0.0001651457,0.0004177319,0.0008321393,0.001553294,0.0009203561,0.003450561],"category_scores_gemma":[0.0006495911,0.0002140646,0.0005343326,0.0002471134,0.0006567517,0.0008479082,0.0005186934,0.0006012437,0.0003461354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000835626,"about_ca_system_score_gemma":0.001201085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02585104,"about_ca_topic_score_gemma":0.01729483,"domain_scores_codex":[0.9999419,0.00001431233,0.000002417657,0.00001296696,0.00001132982,0.00001708853],"domain_scores_gemma":[0.9999074,0.00003602619,0.00001133714,0.000009110933,0.00001467987,0.00002144313],"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":[0.0000857835,0.00003481065,0.0006912064,0.00004223545,0.00003774944,0.000229646,0.0002226644,0.9354204,0.00276018,0.05511293,0.0009851372,0.004377287],"study_design_scores_gemma":[0.00001723854,0.00001514707,0.0001531591,0.000003074639,0.00000696278,0.00001510802,0.00001389898,0.9898247,0.0001433993,0.00937662,0.0004239441,0.000006662586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5797628,0.0004546662,0.3401075,0.002520716,0.0001384976,0.0001179911,0.0009377639,0.0004249054,0.07553512],"genre_scores_gemma":[0.9663756,0.0001893109,0.02255516,0.00008975025,0.00002495592,0.0001420858,0.0001594734,0.00003616409,0.01042739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02585104,"threshold_uncertainty_score":0.05140114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284843029976032,"score_gpt":0.2029402090972062,"score_spread":0.1600917787974459,"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."}}