{"id":"W4411727262","doi":"10.1109/iscas56072.2025.11043947","title":"Spiking Auto-Encoder for Static and Spatio-Temporal Neuromorphic Pattern Reconstruction","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Neuromorphic engineering; Computer science; Encoder; Autoencoder; Spiking neural network; Artificial intelligence; Computer graphics (images); Computer architecture; Artificial neural network; 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":[0.00004796221,0.00007925332,0.0000914932,0.0000524948,0.00006886275,0.00002196352,0.00002959672,0.00002446492,0.00001479398],"category_scores_gemma":[0.00001688991,0.00007864969,0.00001812306,0.0000673095,0.00001333001,0.0001171193,0.00001402149,0.00007323309,0.000001175943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001351679,"about_ca_system_score_gemma":0.000005434003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000340765,"about_ca_topic_score_gemma":0.0000155682,"domain_scores_codex":[0.9995938,0.00000782399,0.0001334643,0.0001181012,0.00002817743,0.0001186306],"domain_scores_gemma":[0.9998016,0.0000812145,0.00001613011,0.00006461728,0.00001478106,0.00002165894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002050067,0.000009758392,0.01432942,0.0007018902,0.00003750401,0.000007580593,0.0001665448,0.04718038,0.01319455,0.0007665754,0.0005698153,0.9230155],"study_design_scores_gemma":[0.0004622932,0.0000377038,0.00240545,0.0001069459,0.00001647573,0.00002322051,0.00006867178,0.9750127,0.01654375,0.003511317,0.001638436,0.000173059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.539668,0.00003218621,0.45919,0.00007303061,0.0003622632,0.0001158449,0.000001619672,0.0001741267,0.0003829145],"genre_scores_gemma":[0.9947985,0.000008511024,0.004829783,0.0001467249,0.00003520796,0.000009159616,0.000004675517,0.00001031739,0.0001571047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9278323,"threshold_uncertainty_score":0.3207241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167390222023392,"score_gpt":0.2413475417896038,"score_spread":0.2196736395693699,"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."}}