{"id":"W2041245499","doi":"10.1002/hipo.20939","title":"Phase precession and variable spatial scaling in a periodic attractor map model of medial entorhinal grid cells with realistic after‐spike dynamics","year":2011,"lang":"en","type":"article","venue":"Hippocampus","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Precession; Attractor; Local field potential; Physics; Path integration; Neuroscience; Mathematics; Mathematical analysis; Psychology","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":[0.0001350884,0.0002647904,0.0003190876,0.0002017399,0.0002531776,0.000538445,0.0005371168,0.0005312546,0.001035348],"category_scores_gemma":[0.0004443295,0.0002121439,0.0004394008,0.0001623423,0.0005527929,0.0006779107,0.0003269509,0.0003398866,0.0001513883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004759598,"about_ca_system_score_gemma":0.0004109949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004759331,"about_ca_topic_score_gemma":0.002984477,"domain_scores_codex":[0.9999602,0.00001070907,0.000001964768,0.000008673385,0.000008731556,0.000009854954],"domain_scores_gemma":[0.999894,0.00003032237,0.00002707315,0.00001194688,0.00001528359,0.00002139378],"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":[0.00005175032,0.00001741456,0.000928122,0.00001928632,0.00002032549,0.0001698098,0.00008129993,0.9546078,0.005588409,0.03596881,0.000371726,0.00217519],"study_design_scores_gemma":[0.000007811693,0.00000781483,0.0001455837,0.000001074006,0.000002667403,0.00001518112,0.000004829099,0.9955153,0.0001403454,0.004047001,0.0001092205,0.000003187183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7070853,0.000300173,0.2752984,0.00061231,0.00005531976,0.00003190707,0.0002246006,0.0002648377,0.01612721],"genre_scores_gemma":[0.991756,0.00008405362,0.005748358,0.00001914676,0.00001173817,0.00003066087,0.00003463963,0.00002247958,0.002292993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004759331,"threshold_uncertainty_score":0.009463251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05444242617294278,"score_gpt":0.2819971567778328,"score_spread":0.22755473060489,"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."}}