{"id":"W63798136","doi":"10.1038/npre.2011.5817.1","title":"The Attentional Routing Circuit: Receptive Field Modulation Through Nonlinear Dendritic Interactions","year":2011,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Receptive field; Computer science; Modulation (music); Feed forward; Nonlinear system; Biological neuron model; Routing (electronic design automation); Neuroscience; Artificial intelligence; Artificial neural network; Physics; Psychology; Acoustics","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":[0.0001287312,0.0001781681,0.0001868964,0.0001550489,0.0002462425,0.0005112384,0.0007578788,0.0006078364,0.002038815],"category_scores_gemma":[0.0004266923,0.000110199,0.0003184756,0.0001120666,0.0004637661,0.0006450213,0.0003768347,0.0004103233,0.0002155222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008552179,"about_ca_system_score_gemma":0.0003422629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247561,"about_ca_topic_score_gemma":0.0009877426,"domain_scores_codex":[0.9999317,0.00001439811,0.000002328862,0.00001550881,0.00002109226,0.00001490919],"domain_scores_gemma":[0.9998904,0.0000365854,0.00001718141,0.00001895952,0.00001854698,0.00001828704],"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":[0.0001415793,0.00008452765,0.001350429,0.00004760174,0.00002902572,0.0003680325,0.0001175011,0.7389401,0.1178778,0.1218478,0.001113952,0.01808167],"study_design_scores_gemma":[0.00000966305,0.00001734276,0.0002784145,0.000001476575,0.000003939622,0.00004101573,0.000004722581,0.9900534,0.00163682,0.007623321,0.0003245423,0.000005369334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4979811,0.0002843417,0.4697361,0.001309386,0.00006751846,0.00005086175,0.00012906,0.0005473669,0.02989428],"genre_scores_gemma":[0.9899217,0.00006234254,0.007401821,0.00006156835,0.00001040266,0.0000206372,0.00001261221,0.00001462442,0.002494221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002247561,"threshold_uncertainty_score":0.0068205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04739868312617215,"score_gpt":0.3077806535599943,"score_spread":0.2603819704338222,"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."}}