{"id":"W2992822522","doi":"10.1007/s11571-019-09566-5","title":"A spiking neural network model of spatial and visual mental imagery","year":2019,"lang":"en","type":"article","venue":"Cognitive Neurodynamics","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Mental rotation; Mental image; Task (project management); Cognition; Computer science; Replicate; Cognitive psychology; Artificial intelligence; Cognitive model; Psychology; Rotation (mathematics); Spatial cognition; Elementary cognitive task; Cognitive map; Cognitive science; 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":[0.0002277704,0.0001885932,0.000340124,0.0002180303,0.0003092165,0.0007160014,0.0008092353,0.001073042,0.002667561],"category_scores_gemma":[0.00159775,0.000266147,0.0004892623,0.0003768083,0.0006009298,0.001164644,0.0005252335,0.0006912552,0.0001991385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005999866,"about_ca_system_score_gemma":0.0007157637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007633655,"about_ca_topic_score_gemma":0.004711148,"domain_scores_codex":[0.9999206,0.00002061364,0.000003749482,0.00002297497,0.00001643099,0.00001565104],"domain_scores_gemma":[0.9997271,0.0001419124,0.00002885756,0.00002029831,0.00004607723,0.00003571135],"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":[0.00007782861,0.0000547997,0.001224017,0.00003715696,0.00005288297,0.0001820596,0.0001803132,0.8303521,0.007163121,0.1499485,0.0008549549,0.009872294],"study_design_scores_gemma":[0.000006063822,0.000006757557,0.0002342769,0.00000181687,0.000004069225,0.0000200738,0.00000882695,0.9783884,0.0001240711,0.02105448,0.0001466484,0.000004546447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4611769,0.0004955815,0.5011153,0.003165688,0.000209201,0.00004784863,0.0004373283,0.0002578731,0.03309427],"genre_scores_gemma":[0.9856354,0.0001258708,0.00796466,0.00006773073,0.00002249836,0.00002415046,0.00005512549,0.00001755603,0.006087085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007633655,"threshold_uncertainty_score":0.01517844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008350400519128245,"score_gpt":0.2252499868610178,"score_spread":0.2168995863418895,"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."}}