{"id":"W2255581062","doi":"10.1016/j.conb.2016.01.010","title":"Why neurons mix: high dimensionality for higher cognition","year":2016,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":855,"is_retracted":false,"has_abstract":false,"ca_institutions":"Columbia College","funders":"","keywords":"Curse of dimensionality; Task (project management); Computer science; Neuroscience; Cognition; Contrast (vision); Artificial intelligence; Machine learning; Psychology; Engineering","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":[0.000543101,0.0007069882,0.0009947659,0.000695587,0.0002469181,0.001828737,0.0007599667,0.001945753,0.003282024],"category_scores_gemma":[0.001402158,0.0002045684,0.0003254833,0.0006909242,0.002392658,0.00280586,0.001109415,0.002101686,0.001455673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008209243,"about_ca_system_score_gemma":0.001095021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007976415,"about_ca_topic_score_gemma":0.001481053,"domain_scores_codex":[0.9998173,0.00003450066,0.00001814382,0.0000504948,0.0000603676,0.00001926914],"domain_scores_gemma":[0.9995751,0.0002220329,0.00004378779,0.00003101563,0.00009284067,0.00003533715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005642477,0.00001747231,0.0003896439,0.004976585,0.00009000691,0.0001776271,0.0001905793,0.001079032,0.003168213,0.1356276,0.04302926,0.8111976],"study_design_scores_gemma":[0.0000183943,0.00003132397,0.00173834,0.002101698,0.00007296014,0.0009917645,0.0001703767,0.0009221121,0.001439881,0.3637837,0.628674,0.0000555898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001015941,0.9687548,0.009532581,0.0109841,0.001636625,0.00000693066,0.0001061807,0.00008047642,0.007882332],"genre_scores_gemma":[0.01861615,0.9658716,0.004438329,0.003699279,0.003070316,0.00002913983,0.0001155862,0.00003628082,0.00412343],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003282024,"threshold_uncertainty_score":0.01097941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1779558817725527,"score_gpt":0.393445992028318,"score_spread":0.2154901102557653,"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."}}