{"id":"W4285089134","doi":"10.1038/s42003-022-03526-2","title":"Suppression without inhibition: how retinal computation contributes to saccadic suppression","year":2022,"lang":"en","type":"article","venue":"Communications Biology","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Max-Planck-Gesellschaft; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Receptive field; Neuroscience; Saccadic masking; Retina; Surround suppression; Retinal waves; Parasol cell; Macaque; Photic Stimulation; Retinal; Eye movement; Calcium imaging; Saccadic suppression of image displacement; Retinal ganglion cell; Psychology; Biology; Visual perception; Intrinsically photosensitive retinal ganglion cells; Perception; Chemistry","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":[0.0001730278,0.0003876319,0.0002232494,0.0002846384,0.0002606778,0.0009043295,0.0003654813,0.000353715,0.001377314],"category_scores_gemma":[0.001097316,0.0001866611,0.0003100865,0.0001453587,0.0004075686,0.0007689254,0.0004877151,0.0003399724,0.0004148934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004106358,"about_ca_system_score_gemma":0.0004652583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467688,"about_ca_topic_score_gemma":0.001266712,"domain_scores_codex":[0.9998759,0.00001523642,0.000007298192,0.00003054012,0.00003586008,0.0000351402],"domain_scores_gemma":[0.99966,0.0000921058,0.00006112092,0.00005174744,0.000063415,0.00007160276],"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":[0.0003065683,0.00006134242,0.00636152,0.0001124444,0.00004003537,0.0005236538,0.000280586,0.01958502,0.9089909,0.02596633,0.0006681631,0.03710346],"study_design_scores_gemma":[0.00007000841,0.0004512163,0.06590596,0.00005962437,0.0001391492,0.001282241,0.0002694401,0.6524862,0.1999174,0.07311477,0.00619376,0.0001101575],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8180642,0.001152741,0.1568251,0.0009586355,0.0001490406,0.00004003137,0.0001976871,0.001496111,0.0211166],"genre_scores_gemma":[0.995366,0.0001849851,0.003206526,0.00003552933,0.00001589121,0.000007400003,0.00004096458,0.0000620045,0.001080749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002467688,"threshold_uncertainty_score":0.004906654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997702762047627,"score_gpt":0.3002672896925568,"score_spread":0.2802902620720806,"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."}}