{"id":"W3205986684","doi":"10.1145/3477145.3477165","title":"A Flexible FPGA Implementation of Morris-Lecar Neuron for Reproducing Different Neuronal Behaviors","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Field-programmable gate array; Computer science; Biological neuron model; MATLAB; Neuromorphic engineering; VHDL; Embedded system; Artificial neural network; Computer hardware; Artificial intelligence","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":[0.0001130315,0.0003607394,0.0001987748,0.0002215545,0.0001540395,0.0002733852,0.0006502245,0.0002488139,0.002768183],"category_scores_gemma":[0.0002522266,0.00010435,0.0002189991,0.0001757169,0.0001324339,0.0002635572,0.0001664484,0.0002486562,0.000419386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000285042,"about_ca_system_score_gemma":0.0002967901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003029203,"about_ca_topic_score_gemma":0.003415586,"domain_scores_codex":[0.9999238,0.00001219834,0.00000599472,0.00001761445,0.00002811192,0.00001225716],"domain_scores_gemma":[0.9999218,0.00001639726,0.000008000642,0.00001992812,0.00002652238,0.000007265602],"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":[0.0006700641,0.0002404523,0.006194176,0.0006211238,0.0001768405,0.001251939,0.0003812696,0.4119388,0.2865678,0.02414297,0.006532634,0.2612819],"study_design_scores_gemma":[0.00006460867,0.0002906765,0.0014552,0.00002363311,0.00004378338,0.0003459634,0.00002624482,0.9207765,0.06691238,0.001223177,0.008806896,0.00003093493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1942496,0.00046062,0.7829118,0.0001486965,0.0001848191,0.0001324145,0.0003481843,0.007876106,0.01368763],"genre_scores_gemma":[0.8226832,0.0001546885,0.1730067,0.00005374232,0.000008994065,0.0001178994,0.0002026938,0.0001047328,0.003667453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003029203,"threshold_uncertainty_score":0.009260535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642371405546041,"score_gpt":0.3024408681750019,"score_spread":0.2760171541195415,"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."}}