{"id":"W2642730322","doi":"10.1016/j.cub.2017.05.081","title":"Selective Erasure of Distinct Forms of Long-Term Synaptic Plasticity Underlying Different Forms of Memory in the Same Postsynaptic Neuron","year":2017,"lang":"en","type":"article","venue":"Current Biology","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Center for Research Resources; National Institute of Mental Health; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Neuroscience; Postsynaptic potential; Biology; Synaptic plasticity; Metaplasticity; Synapse; Aplysia; Postsynaptic density; Neuron; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Biochemistry; Receptor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002458676,0.0003563472,0.0004526087,0.0002709244,0.000207958,0.0006234685,0.0008647561,0.0004292567,0.001836271],"category_scores_gemma":[0.0005149455,0.0002051911,0.0006175354,0.000203137,0.0004224372,0.001262458,0.001149736,0.0008759879,0.0004087443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066003,"about_ca_system_score_gemma":0.0001841684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001609835,"about_ca_topic_score_gemma":0.0004686425,"domain_scores_codex":[0.9999084,0.000004524801,0.000008080875,0.00001969045,0.00002033076,0.00003888932],"domain_scores_gemma":[0.9997448,0.00004670611,0.00003377578,0.0001028335,0.00003028906,0.00004165791],"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":[0.0001861564,0.00003883983,0.0005808517,0.0001097034,0.00005985279,0.0001926254,0.00005330794,0.0004020003,0.9715143,0.002885845,0.000203984,0.02377264],"study_design_scores_gemma":[0.00004621159,0.0003027483,0.02890062,0.00003490863,0.0001425422,0.001185303,0.0001798671,0.007251269,0.9539927,0.005645873,0.002280309,0.00003769946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791733,0.001603122,0.01404351,0.0002122286,0.0001559658,0.00001520041,0.0001386072,0.0001753326,0.004482797],"genre_scores_gemma":[0.9948003,0.0006579898,0.002165054,0.00009453891,0.00003475544,0.00001265717,0.0001055162,0.00004565716,0.002083588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001836271,"threshold_uncertainty_score":0.006142914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1354457211679798,"score_gpt":0.4039830574077462,"score_spread":0.2685373362397664,"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."}}