{"id":"W3122393936","doi":"10.1109/icast51195.2020.9319475","title":"Improved Spiking Neural Networks with multiple neurons for digit recognition","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"MNIST database; Spiking neural network; Neuromorphic engineering; Computer science; Artificial intelligence; Artificial neural network; Convolutional neural network; Deep learning; Machine learning; Computational 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001372367,0.0001139654,0.0001023094,0.00001190981,0.00006677712,0.00002509587,0.00005601925,0.00002678327,0.000006700996],"category_scores_gemma":[0.0000328842,0.0000982517,0.00003552968,0.00009499045,0.000008535242,0.0001738877,0.00001615796,0.0001313681,0.000001730549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000723243,"about_ca_system_score_gemma":0.00000176607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.110243e-7,"about_ca_topic_score_gemma":0.000004875986,"domain_scores_codex":[0.9994822,0.000004623217,0.0001114551,0.0001553511,0.00003294627,0.0002134373],"domain_scores_gemma":[0.9997147,0.0001075011,0.00001830272,0.00006041007,0.00001895532,0.00008013934],"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":[0.00008557554,0.000004499374,0.0001254333,0.00004938178,0.00001060511,0.000004924036,0.00005091767,0.8709493,0.02387643,0.000004299869,0.00008280611,0.1047558],"study_design_scores_gemma":[0.0004536644,0.0001416829,0.00005029735,0.00000866874,0.000008229833,0.000004834224,0.00002133425,0.9651859,0.03350254,0.00001173971,0.0004636292,0.000147481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3868652,0.00001846309,0.6116152,0.000115583,0.0001406607,0.0002702154,0.000003974792,0.0006636794,0.0003070458],"genre_scores_gemma":[0.9946357,0.000002649575,0.004470767,0.0005282265,0.000279104,0.00001704269,0.00001746938,0.0000361709,0.00001284469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6077706,"threshold_uncertainty_score":0.4006588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03059847672615579,"score_gpt":0.2143313098660165,"score_spread":0.1837328331398607,"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."}}