{"id":"W2901250169","doi":"10.3389/fnbot.2018.00075","title":"Spiking Neurons Integrating Visual Stimuli Orientation and Direction Selectivity in a Robotic Context","year":2018,"lang":"en","type":"article","venue":"Frontiers in Neurorobotics","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep du Vieux Montréal; University of Ottawa","funders":"","keywords":"Computer science; Stimulus (psychology); Artificial intelligence; Artificial neural network; Orientation (vector space); Sensory cue; Robot; Spiking neural network; Context (archaeology); Computer vision; Psychology; Cognitive psychology","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":[0.0001245885,0.0001725729,0.0002217904,0.0002141987,0.00009138064,0.00003454019,0.00006316221,0.00006112987,0.00000125925],"category_scores_gemma":[0.0001922783,0.0001977295,0.00002072231,0.0004927263,0.00006891434,0.000283216,0.00003526823,0.0003938363,0.000001243669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001092724,"about_ca_system_score_gemma":0.00000988778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001201823,"about_ca_topic_score_gemma":0.0001793425,"domain_scores_codex":[0.9989884,0.00008039884,0.0002599914,0.0002824703,0.00009213929,0.0002965287],"domain_scores_gemma":[0.9996843,0.0001013052,0.00004380681,0.00009275769,0.00002722533,0.00005057361],"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":[0.00006041834,0.00006068355,0.1110923,0.00009334253,0.00001048956,0.00005350959,0.001745675,0.7551689,0.01848967,0.00007216252,0.0002161709,0.1129367],"study_design_scores_gemma":[0.0004588977,0.0001622929,0.03632659,0.00008911905,0.000008886912,0.00001819749,0.0002890751,0.9557702,0.006360549,0.0002292199,0.00007418449,0.0002127756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7076445,0.00009695806,0.2899544,0.00002446351,0.001848727,0.0001555369,3.460532e-7,0.0001377006,0.0001374355],"genre_scores_gemma":[0.9913485,0.00003333195,0.008366347,0.00006918391,0.0001224021,0.000004703819,0.000001792049,0.00003355832,0.00002015443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2837041,"threshold_uncertainty_score":0.8063176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401731235514383,"score_gpt":0.2615378930823366,"score_spread":0.2475205807271928,"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."}}