{"id":"W1814548317","doi":"10.1007/s00521-015-2047-0","title":"Modular neuron comprises of memristor-based synapse","year":2015,"lang":"en","type":"article","venue":"Neural Computing and Applications","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Memristor; Computer science; Synapse; Modular design; Artificial neural network; Synaptic weight; Neuron; Modularity (biology); Physical neural network; Spiking neural network; Artificial intelligence; Time delay neural network; Neuroscience; Types of artificial neural networks; Electronic engineering; Engineering","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":[0.00006900977,0.0001151833,0.0001540576,0.00004749405,0.00009137984,0.00001197216,0.0001096522,0.00003147551,8.750613e-7],"category_scores_gemma":[0.00001442554,0.0001179102,0.0000314772,0.0001659576,0.00005373334,0.00004334671,0.00003654957,0.0001379604,0.000002785473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001393399,"about_ca_system_score_gemma":0.000008014969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000284216,"about_ca_topic_score_gemma":4.361095e-7,"domain_scores_codex":[0.9993833,0.00002162422,0.0001962457,0.0001612119,0.00009030862,0.0001473635],"domain_scores_gemma":[0.9995158,0.0001063054,0.00004828868,0.0001794375,0.00004811077,0.0001020312],"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":[0.00000565548,0.00002384376,0.0003650487,0.00007744005,0.000005760429,0.000001688242,0.00006508621,0.9483617,0.03305001,0.0005565551,0.0001081236,0.01737911],"study_design_scores_gemma":[0.0004127024,0.00007096116,0.001437213,0.00002601222,0.00001731018,0.00001538421,0.0000555361,0.9678077,0.02520064,0.0003732847,0.004370105,0.0002132223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8926988,0.0004236048,0.1058262,0.00005104442,0.00007779433,0.0001661195,0.000004087063,0.0003360668,0.0004162669],"genre_scores_gemma":[0.9980472,0.00000452213,0.001753085,0.00005843202,0.0000964561,0.000007476558,0.000007118339,0.0000175802,0.000008154206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1053484,"threshold_uncertainty_score":0.4808238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644873761455754,"score_gpt":0.2563144084704723,"score_spread":0.2298656708559147,"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."}}