{"id":"W4385625232","doi":"10.1101/2023.08.07.552264","title":"Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Board of the Swiss Federal Institutes of Technology; École Polytechnique Fédérale de Lausanne","keywords":"Neuroscience; Synaptic plasticity; Plasticity; Metaplasticity; Homosynaptic plasticity; Neuroplasticity; Connectome; Homeostatic plasticity; Computer science; Synaptic scaling; Synapse; Excitatory postsynaptic potential; Biology; Functional connectivity; Inhibitory postsynaptic potential; Synaptic augmentation; 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":[0.0002588646,0.0002897296,0.0003155407,0.0005824593,0.0003435513,0.0005741858,0.0006947605,0.0006849193,0.0009799649],"category_scores_gemma":[0.00135566,0.0003066749,0.0005128659,0.0003212791,0.0005929481,0.0008764931,0.0005527676,0.0004994458,0.0001484811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008317786,"about_ca_system_score_gemma":0.0003773097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003906528,"about_ca_topic_score_gemma":0.003045297,"domain_scores_codex":[0.9999255,0.00001928858,0.000003841156,0.00001775934,0.0000191129,0.00001451844],"domain_scores_gemma":[0.9996345,0.0001405029,0.00007650127,0.00005050271,0.00004717311,0.00005083322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003196358,0.00002524889,0.003278501,0.00005042421,0.0000312071,0.0001717844,0.00004192379,0.9626758,0.01742245,0.01369665,0.0003879298,0.002186265],"study_design_scores_gemma":[0.0000046261,0.000008248126,0.002091674,0.000002553382,0.000004764048,0.00002899624,0.000008136575,0.9886438,0.0007717586,0.008295787,0.0001346898,0.000004949643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8860315,0.0005396348,0.1089751,0.0007901078,0.00002894724,0.00002823434,0.0002409903,0.000383094,0.002982331],"genre_scores_gemma":[0.9946912,0.0001554709,0.004739632,0.00002306692,0.000009217667,0.00001744571,0.00005401578,0.00002938983,0.0002804401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003906528,"threshold_uncertainty_score":0.007767558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145446940975908,"score_gpt":0.2199438939916013,"score_spread":0.1984894245818422,"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."}}