{"id":"W2563740559","doi":"10.1109/sips.2016.61","title":"Stochastic Computing Can Improve Upon Digital Spiking Neural Networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic computing; Computer science; Spiking neural network; Artificial neural network; Implementation; Artificial intelligence; Theoretical computer science; Distributed computing; Computer architecture","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004552151,0.0001757866,0.000147833,0.00003781034,0.00008911873,0.00005352211,0.0001213101,0.00004556622,0.00001384594],"category_scores_gemma":[0.00003275376,0.0001248948,0.00005315808,0.00009541089,0.00001892441,0.0002346472,0.00007509111,0.0001521539,0.000009917907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005031303,"about_ca_system_score_gemma":0.000003222902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001148626,"about_ca_topic_score_gemma":0.000003944279,"domain_scores_codex":[0.9990889,0.000006494681,0.0001992858,0.0001976968,0.00008335581,0.0004242925],"domain_scores_gemma":[0.9995235,0.00018423,0.00002947374,0.0001473538,0.00001785672,0.00009757507],"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":[0.000004370551,0.00000280735,0.00007011777,0.000007694264,0.000007610991,0.000008802597,0.00002501334,0.7462305,0.009179547,0.00009889551,0.00001895342,0.2443457],"study_design_scores_gemma":[0.0003041497,0.00003785305,0.0001261075,0.00005610351,0.00000476761,0.00002436048,0.00002233826,0.994864,0.004052731,0.0001721549,0.00006384089,0.0002716034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4420817,0.00003531421,0.555995,0.00003200076,0.0005798674,0.00006835804,0.000001904862,0.0005469332,0.000658945],"genre_scores_gemma":[0.9990764,0.00000104319,0.0002405558,0.00005408724,0.0004689602,0.000001236361,0.00000172653,0.00003770024,0.0001182447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5569948,"threshold_uncertainty_score":0.509306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008618456077861082,"score_gpt":0.2065064579956692,"score_spread":0.1978880019178081,"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."}}