{"id":"W2521994063","doi":"10.1101/075986","title":"Transformation of the head-direction signal into a spatial code","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Sensory system; Computer science; Path integration; Neuroscience; Subiculum; Spurious relationship; SIGNAL (programming language); Hippocampal formation; Place cell; Transformation (genetics); Computer vision; Artificial intelligence; Psychology; Biology; Machine learning","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":[0.00006307437,0.0001069063,0.00009988269,0.000163888,0.0001058447,0.0004816991,0.0002438231,0.0001564809,0.002575908],"category_scores_gemma":[0.0002143892,0.00007327615,0.0001004091,0.0001177549,0.0003385423,0.0002981327,0.0003832087,0.0002543566,0.0005671356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312061,"about_ca_system_score_gemma":0.0001431266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000251817,"about_ca_topic_score_gemma":0.0002910286,"domain_scores_codex":[0.9999354,0.000006126274,0.000003200278,0.00001699009,0.00002544644,0.00001286097],"domain_scores_gemma":[0.9998837,0.00001104665,0.00003797135,0.00002627932,0.00002289506,0.00001809104],"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":[0.00009656383,0.00002754162,0.001188472,0.00003088382,0.00000993466,0.0001576386,0.00006517263,0.0008550726,0.960377,0.01143279,0.0007584353,0.02500046],"study_design_scores_gemma":[0.00002697085,0.0002358339,0.02674427,0.00002616683,0.00002353215,0.0007739867,0.0001690362,0.02821371,0.9123738,0.0173337,0.01403805,0.00004083751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857873,0.0005821584,0.08738686,0.0003763414,0.0002344338,0.00002760572,0.000560622,0.001179719,0.0238649],"genre_scores_gemma":[0.9838727,0.0001229154,0.008946083,0.00008428101,0.00002567153,0.00001045869,0.0001567363,0.00006616573,0.006714872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002575908,"threshold_uncertainty_score":0.008617282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03950564056680401,"score_gpt":0.2604296429972501,"score_spread":0.2209240024304461,"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."}}