{"id":"W4224261208","doi":"10.5121/csit.2022.121010","title":"An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Artificial intelligence; Artificial neural network; Nervous system network models; Interpretability; Spiking neural network; Computer science; Physical neural network; Artificial Intelligence System; Biological neural network; Expansive; Types of artificial neural networks; Time delay neural network; Deep learning; Machine learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005657158,0.000273245,0.0004649245,0.00005291286,0.0002841134,0.00002928546,0.0003992285,0.00004992788,0.0004491261],"category_scores_gemma":[0.00009415003,0.0002607366,0.00008243338,0.0006175638,0.00008252394,0.0001560104,0.0003526431,0.0005373235,0.000006563918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004207517,"about_ca_system_score_gemma":0.00001054958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000124791,"about_ca_topic_score_gemma":0.00001497621,"domain_scores_codex":[0.9977492,0.0002093567,0.0007558822,0.0005184487,0.0002158296,0.0005512561],"domain_scores_gemma":[0.9990617,0.0002670368,0.00009629,0.0003612943,0.00004159516,0.0001720724],"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":[0.00004720379,0.00001821605,0.0001314443,0.0000803779,0.000008645405,0.00001237351,0.00007500569,0.7746199,0.005918063,0.0018139,0.000146188,0.2171287],"study_design_scores_gemma":[0.00003531815,0.001011702,0.0006955463,0.0006308468,0.00005747015,0.0000617391,0.0006129573,0.9356831,0.03240673,0.02504988,0.002570528,0.001184173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8893874,0.01119639,0.09598163,0.0002999347,0.002149467,0.0004995137,0.00001463789,0.0003849706,0.00008601687],"genre_scores_gemma":[0.9915795,0.0006506173,0.004887471,0.001085567,0.001713861,0.00002340159,0.00002610188,0.00003044455,0.000003055156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2159445,"threshold_uncertainty_score":0.9999845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06579722510460273,"score_gpt":0.2958524534794572,"score_spread":0.2300552283748545,"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."}}