{"id":"W4401041661","doi":"10.1523/jneurosci.1777-23.2024","title":"Motor Cortex Latent Dynamics Encode Spatial and Temporal Arm Movement Parameters Independently","year":2024,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"National Institute of Neurological Disorders and Stroke; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Medical Research Council; National Institutes of Health; UK Research and Innovation","keywords":"ENCODE; Movement (music); Motor cortex; Temporal cortex; Neuroscience; Dynamics (music); Cortex (anatomy); Psychology; Computer science; Biology; Physics","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":[0.0004126616,0.0002545097,0.0003140377,0.0002441006,0.0001294659,0.0009125355,0.0003558389,0.0003665198,0.001239827],"category_scores_gemma":[0.004143913,0.0003113363,0.000334061,0.0002865999,0.0005516728,0.00145965,0.0006095347,0.0008688544,0.0001885674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006646879,"about_ca_system_score_gemma":0.0004726816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002297013,"about_ca_topic_score_gemma":0.002878453,"domain_scores_codex":[0.9997978,0.00003541142,0.00001286384,0.00007632348,0.00004001752,0.00003762049],"domain_scores_gemma":[0.998795,0.0005073271,0.0003098698,0.0001889983,0.0001179025,0.00008083351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008207942,0.0002315865,0.033673,0.0002216898,0.0003109192,0.0002824301,0.0009174085,0.2610535,0.5026652,0.1019316,0.001043774,0.09684804],"study_design_scores_gemma":[0.00003439549,0.0001168782,0.05899766,0.00002770125,0.00006668547,0.00009956917,0.00007743097,0.8693761,0.0204263,0.04985172,0.0008691922,0.00005633771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7499227,0.0001307073,0.2427656,0.0004216832,0.00003939021,0.00003366737,0.0005063324,0.0003556942,0.0058243],"genre_scores_gemma":[0.9944306,0.00003784864,0.004562568,0.00001615018,0.00000586194,0.00001306328,0.0001161264,0.00003598944,0.000781849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002297013,"threshold_uncertainty_score":0.004822612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032336850099497,"score_gpt":0.261362601190301,"score_spread":0.231039232689306,"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."}}