{"id":"W2952300710","doi":"10.1371/journal.pone.0199196","title":"Neural network models of the tactile system develop first-order units with spatially complex receptive fields","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua; Vector Institute; Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Receptive field; Computer science; Artificial neural network; Noise (video); Complex system; Artificial intelligence; Biological system; Neuroscience; Pattern recognition (psychology); Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007129738,0.000120133,0.0001753166,0.00002359199,0.0002787658,0.00002670765,0.0002513266,0.00005318876,0.00004448617],"category_scores_gemma":[0.0001397777,0.00007711475,0.00001824323,0.0007952214,0.0001478025,0.0001287542,0.0001046094,0.0001493995,0.00001149905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003003051,"about_ca_system_score_gemma":0.00005709416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008612825,"about_ca_topic_score_gemma":0.0004799442,"domain_scores_codex":[0.9989076,0.0001042623,0.0001790637,0.0002481894,0.0003418118,0.0002191301],"domain_scores_gemma":[0.9989897,0.0001685761,0.0001559234,0.0002754068,0.0003699185,0.000040465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003434079,0.002976727,0.01912251,0.001556725,0.0005811511,0.00005458207,0.006822844,0.2383862,0.6485435,0.0629454,0.01122897,0.004347272],"study_design_scores_gemma":[0.0004751704,0.0007256209,0.0037046,0.0004001383,0.00006702618,0.00001263772,0.00006635828,0.938574,0.05514761,0.0003992739,0.0001771834,0.0002503644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911757,0.000003058989,0.001914907,0.0007243972,0.0002251681,0.000418857,0.00001860431,0.00006562517,0.005453644],"genre_scores_gemma":[0.9978691,0.000004334154,0.0007780326,0.0006074673,0.0001785215,0.00001569985,0.000002987664,0.00001777104,0.0005260991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7001878,"threshold_uncertainty_score":0.3144648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09757691556574048,"score_gpt":0.2211031420136622,"score_spread":0.1235262264479217,"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."}}