{"id":"W2021905727","doi":"10.1162/neco_a_00251","title":"Diffusive Feedback Influences on Hierarchical Information Processing","year":2011,"lang":"en","type":"article","venue":"Neural Computation","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Projection (relational algebra); Orientation (vector space); Visual cortex; Sensory system; Feed forward; Neuroscience; Computer science; Lateral inhibition; Artificial neural network; Artificial intelligence; Physics; Computer vision; Mathematics; Biology; Geometry; Algorithm","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":[0.0002221955,0.0003340667,0.000296249,0.0002441297,0.0004425286,0.0005418254,0.0005109273,0.0004284385,0.002179027],"category_scores_gemma":[0.00125431,0.0002094261,0.0003887102,0.0001347867,0.0007027455,0.0009483447,0.0007529592,0.0004027114,0.000162126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007384359,"about_ca_system_score_gemma":0.0005676023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003491402,"about_ca_topic_score_gemma":0.002659202,"domain_scores_codex":[0.9998581,0.00003493701,0.000005857009,0.00002560404,0.00004291085,0.0000325182],"domain_scores_gemma":[0.9997463,0.0001183678,0.00002688215,0.00002564702,0.00003182364,0.0000509553],"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":[0.0003972084,0.00008835106,0.001526427,0.000178809,0.00004928848,0.0004468899,0.0004981465,0.6177695,0.1979112,0.1666853,0.0006073246,0.01384165],"study_design_scores_gemma":[0.00004264378,0.00008565253,0.0009668947,0.00000530733,0.00001912764,0.00005828892,0.00003449012,0.9600153,0.006755124,0.03138674,0.0006144334,0.00001597286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.836728,0.0003281879,0.1506173,0.00033013,0.00004332425,0.00004600254,0.00008855679,0.0004279671,0.01139061],"genre_scores_gemma":[0.9937018,0.00008538178,0.005370612,0.00001490306,0.000005913459,0.00001693727,0.00001486791,0.0000155473,0.0007740145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003491402,"threshold_uncertainty_score":0.007289588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08989909495648937,"score_gpt":0.3246419212003795,"score_spread":0.2347428262438902,"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."}}