{"id":"W4412552450","doi":"10.1038/s41593-025-02016-y","title":"Voltage imaging reveals hippocampal inhibitory dynamics shaping pyramidal memory-encoding sequences","year":2025,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Azrieli Foundation; U.S. Department of Veterans Affairs","keywords":"Neuroscience; Parvalbumin; Inhibitory postsynaptic potential; Optogenetics; Odor; Hippocampal formation; Pyramidal cell; Electrophysiology; Hyperpolarization (physics); Biology; Psychology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00115977,0.000506464,0.0004353633,0.0009704088,0.001835516,0.0006401375,0.002780602,0.0002678784,0.00003864149],"category_scores_gemma":[0.006047267,0.0004741824,0.0001855482,0.004267861,0.002498676,0.001552745,0.000981011,0.003090487,0.00005192716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002590507,"about_ca_system_score_gemma":0.0005243587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009463715,"about_ca_topic_score_gemma":0.00000585933,"domain_scores_codex":[0.9934219,0.0005477479,0.0006069884,0.002350173,0.001483697,0.001589476],"domain_scores_gemma":[0.9974093,0.001092509,0.0002404449,0.0007644863,0.0001469449,0.0003463047],"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":[0.00003457228,0.00008695678,0.004916324,0.00004566876,6.834582e-7,0.0006664774,0.00005170637,0.000114886,0.9834023,0.006610794,0.001484626,0.002584966],"study_design_scores_gemma":[0.000578968,0.00009975346,0.003598371,0.0001183342,0.00001687788,0.0002741229,0.00009972095,0.0255966,0.963067,0.003327744,0.0026753,0.0005471833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690599,0.0002689626,0.0009715731,0.005134247,0.009702934,0.0008862575,0.00004505519,0.0006075687,0.01332344],"genre_scores_gemma":[0.9631193,0.0001759706,0.00003579863,0.03329017,0.0001938258,0.0000456152,6.851326e-7,0.00003727021,0.003101373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02815592,"threshold_uncertainty_score":0.999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03277379155629705,"score_gpt":0.3559030588592829,"score_spread":0.3231292673029859,"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."}}