{"id":"W2988486648","doi":"10.1088/1741-2552/ab7321","title":"Spatial resolution of local field potential signals in macaque V4","year":2020,"lang":"en","type":"preprint","venue":"Journal of Neural Engineering","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Polytechnique Montréal","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Phosphene; Macaque; Visual cortex; Extrastriate cortex; Neuroscience; Receptive field; Local field potential; Visual field; Retinotopy; Visual system; Computer science; Artificial intelligence; Pattern recognition (psychology); Computer vision; Stimulation; Psychology; Transcranial magnetic stimulation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002676481,0.000205962,0.0001683282,0.0009079687,0.0002187473,0.000342543,0.0002628734,0.0003112398,0.0008704536],"category_scores_gemma":[0.002185839,0.0001147876,0.0001682766,0.0002061078,0.0002392175,0.0003337971,0.0003404886,0.0002397968,0.0001135721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004884423,"about_ca_system_score_gemma":0.0002142654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006199127,"about_ca_topic_score_gemma":0.005139104,"domain_scores_codex":[0.9998857,0.00001998318,0.0000059154,0.00003435117,0.00003159503,0.00002245343],"domain_scores_gemma":[0.9995012,0.0001958268,0.00007212261,0.00003332971,0.0001457238,0.00005175817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003469865,0.00003046231,0.01627694,0.0001169193,0.00004790037,0.0002812797,0.0002864909,0.002112709,0.9428803,0.0002452332,0.0002114445,0.03716331],"study_design_scores_gemma":[0.00004421454,0.0007515837,0.7054194,0.00006829071,0.0001848599,0.002322336,0.0004883793,0.07439185,0.2111132,0.003325495,0.001838772,0.00005159048],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961443,0.0002960727,0.002795393,0.00005625397,0.00000374969,0.0000074886,0.00006378393,0.00008808648,0.0005448197],"genre_scores_gemma":[0.9976864,0.00007039416,0.001847071,0.00002442008,0.000004539623,0.000008012822,0.0000667691,0.0000145888,0.0002778787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006199127,"threshold_uncertainty_score":0.01232606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189193229108434,"score_gpt":0.2592956771752434,"score_spread":0.227403744884159,"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."}}