{"id":"W4401931949","doi":"10.1016/j.scib.2024.08.029","title":"Connectome-constrained neural decoding reveals a representational hierarchy from perception to cognition to action","year":2024,"lang":"en","type":"article","venue":"Science Bulletin","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal; Montreal Neurological Institute and Hospital; McGill University","funders":"National Natural Science Foundation of China","keywords":"Cognition; Embodied cognition; Perception; Action (physics); Hierarchy; Neural decoding; Computer science; Sensory system; Decoding methods; Connectome; Working memory; Psychology; Cognitive psychology; Cognitive science; Neuroscience; Artificial intelligence; Functional connectivity","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004893332,0.0001104916,0.0000926512,0.0002728598,0.0003893388,0.0008259694,0.0006091706,0.0000288259,0.0003225814],"category_scores_gemma":[0.0001364221,0.0001052025,0.00004680517,0.001646655,0.0001105177,0.0004204231,0.0002083972,0.0001259979,0.001134349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008935823,"about_ca_system_score_gemma":0.00007822391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005874621,"about_ca_topic_score_gemma":0.00000831238,"domain_scores_codex":[0.998182,0.00004373612,0.0002138268,0.0007846832,0.0004591589,0.0003165927],"domain_scores_gemma":[0.9990793,0.0002125024,0.00003230862,0.0003066043,0.0001231294,0.0002460851],"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":[0.00001522762,0.00003597219,0.0001094485,0.000009022869,0.000006087472,0.00001493925,0.00131938,0.001860751,0.6843016,0.02767579,0.02537357,0.2592782],"study_design_scores_gemma":[0.0008428362,0.0005718964,0.08914118,0.0006448639,0.00004761697,0.0002181586,0.001356323,0.7139328,0.02831347,0.06190653,0.1012236,0.001800828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5819687,0.00001789009,0.364951,0.05034342,0.0007372173,0.000468772,0.00001998995,0.0003253433,0.0011676],"genre_scores_gemma":[0.9495938,0.000003914203,0.04724782,0.002471678,0.0002805151,0.0001068882,0.00001127817,0.000006411684,0.0002776675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.712072,"threshold_uncertainty_score":0.9996434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03712553056474756,"score_gpt":0.3315914583568917,"score_spread":0.2944659277921441,"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."}}