{"id":"W2906279845","doi":"10.1109/biocas.2018.8584720","title":"Implementation of the Neural Engineering Framework on the TrueNorth Neurosynaptic System","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Von Neumann architecture; IBM; Computer science; Neuromorphic engineering; Computation; Crossbar switch; Curse of dimensionality; Artificial neural network; Population; Computer architecture; Models of neural computation; Parallel computing; Computer engineering; Computational science; Computer hardware; Theoretical computer science; Artificial intelligence; Algorithm; Operating system","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":[0.00005950507,0.00008850268,0.00007282364,0.00001787534,0.00008719461,0.00001025779,0.000156075,0.00002121396,0.00002570292],"category_scores_gemma":[0.0000284613,0.00004882503,0.00004107206,0.0001597728,0.00001981556,0.00004084869,0.00003007694,0.000148747,0.000007523566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001948802,"about_ca_system_score_gemma":0.000002504223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002539175,"about_ca_topic_score_gemma":0.000003841417,"domain_scores_codex":[0.9995191,0.00001803149,0.0001475168,0.00007935057,0.00009341864,0.0001425763],"domain_scores_gemma":[0.9995329,0.0001911405,0.00002818431,0.0002179711,0.00001549593,0.0000142657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002087761,0.00001345051,0.002608696,0.0003262697,0.0000784768,0.000005582344,0.001346365,0.7127801,0.1394149,0.1311508,0.0002979798,0.01195663],"study_design_scores_gemma":[0.0001483496,0.0001589066,0.01719689,0.0001768998,0.00002207512,0.0000211165,0.0007710634,0.4848683,0.4959975,0.0001518978,0.0002677123,0.0002192924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877199,0.000009864161,0.01076303,0.00007542053,0.0007379948,0.0001477496,0.000001268919,0.0001880239,0.0003567737],"genre_scores_gemma":[0.999533,7.058336e-7,0.0001829934,0.00009739398,0.000155686,0.00000463155,1.5105e-7,0.00001626387,0.000009166002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3565826,"threshold_uncertainty_score":0.1991027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090486403045791,"score_gpt":0.228877840765888,"score_spread":0.2179729767354301,"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."}}