{"id":"W4415668505","doi":"10.1038/s41586-025-09690-9","title":"Sensory expectations shape neural population dynamics in motor circuits","year":2025,"lang":"en","type":"article","venue":"Nature","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; York University; Western University","funders":"","keywords":"Sensory system; Population; Biological neural network; Neural activity; Cued speech; Neural coding; Perturbation (astronomy)","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":[0.0004247692,0.0002240247,0.0003081077,0.0002145546,0.0002134687,0.001410068,0.0005220409,0.0007202252,0.002949099],"category_scores_gemma":[0.006123663,0.0003911149,0.0003297564,0.0001554994,0.0003620043,0.00152375,0.0006008114,0.001073278,0.0004309614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000400945,"about_ca_system_score_gemma":0.0002576141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000721139,"about_ca_topic_score_gemma":0.0008413041,"domain_scores_codex":[0.9998009,0.00003886578,0.00001173083,0.00005594895,0.00004931073,0.0000433618],"domain_scores_gemma":[0.9987411,0.00071725,0.0001443024,0.00009073412,0.0001522702,0.0001543532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001748377,0.0003435542,0.03786569,0.000286717,0.0003073304,0.0005690668,0.001047204,0.145454,0.6557748,0.06449756,0.003464187,0.08864162],"study_design_scores_gemma":[0.0000719181,0.0002665605,0.1333761,0.00003638249,0.00008220115,0.0002954645,0.0003687291,0.7678223,0.02890306,0.06762666,0.001090719,0.00005986823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9243733,0.0002044311,0.0660064,0.0007016708,0.0001169347,0.00001641661,0.0001706964,0.0002223593,0.008187844],"genre_scores_gemma":[0.9979164,0.00003542192,0.001413567,0.00004182784,0.00001164111,0.00000537543,0.00004452117,0.00005799455,0.0004732791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002949099,"threshold_uncertainty_score":0.009865701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588030775884637,"score_gpt":0.2752848630037242,"score_spread":0.2594045552448779,"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."}}