{"id":"W1991564249","doi":"10.1152/jn.00785.2013","title":"Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals","year":2013,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":325,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 People: Marie-Curie Actions; James S. McDonnell Foundation; National Institutes of Health; National Institute of Neurological Disorders and Stroke; Magyar Tudományos Akadémia; National Institute of Mental Health; York University","keywords":"Neocortex; Local field potential; Neuroscience; Computer science; Biological neural network; Multiplexing; Nerve net; Premovement neuronal activity; Electronic circuit; Electrophysiology; Hippocampus; Biology; Physics; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001075003,0.000139272,0.0004234607,0.0002943484,0.00006042839,0.00002097032,0.0002784667,0.00007457894,0.00006025187],"category_scores_gemma":[0.0003307317,0.0001188443,0.0001096482,0.0003898075,0.00006506177,0.0002195264,0.0001356291,0.0003766958,0.00003455627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000039369,"about_ca_system_score_gemma":0.00002457277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008651668,"about_ca_topic_score_gemma":0.000008746816,"domain_scores_codex":[0.9983795,0.0002464032,0.0005661927,0.0002768138,0.0002012183,0.0003298434],"domain_scores_gemma":[0.9989381,0.0002464658,0.0003828784,0.0001618749,0.0001484026,0.0001222769],"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":[0.0000686627,0.0000930774,0.0002135552,0.0000121763,0.000002045799,0.00008454318,0.0001053537,0.001771018,0.9945993,0.0001547771,0.00007905316,0.002816444],"study_design_scores_gemma":[0.00194346,0.006531897,0.6260393,0.0001823926,0.00003269344,0.0008863551,0.0003472693,0.01439488,0.3434564,0.005376545,0.0002980239,0.0005107623],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961465,0.000003318808,0.001044799,0.0005077976,0.002113984,0.0001462591,0.000003873774,0.000009246075,0.00002422437],"genre_scores_gemma":[0.9986659,0.00003238396,0.00004619421,0.0009885436,0.0001903201,0.000002745381,2.852884e-7,0.00001842838,0.00005515747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6511428,"threshold_uncertainty_score":0.484633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566294905546593,"score_gpt":0.2552059756131414,"score_spread":0.2295430265576755,"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."}}