{"id":"W2886703049","doi":"10.1016/j.neunet.2018.07.019","title":"Estimation of neural connections from partially observed neural spikes","year":2018,"lang":"en","type":"article","venue":"Neural Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"Core Research for Evolutional Science and Technology; Japan Society for the Promotion of Science; Japan Science and Technology Corporation","keywords":"Artificial neural network; Computer science; Artificial intelligence; Property (philosophy); Spike (software development); Multiplicative function; Neuron; Pattern recognition (psychology); Neuroscience; Biological system; Machine learning; Mathematics; Biology","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":[0.0004058896,0.0005391,0.0005822939,0.0002779822,0.0002066903,0.0006390233,0.0005873988,0.0007917265,0.0007375432],"category_scores_gemma":[0.004629235,0.0005214427,0.0003403357,0.0004138385,0.0003649905,0.001148663,0.0004743774,0.0009618588,0.0001596968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119685,"about_ca_system_score_gemma":0.0005121923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002638975,"about_ca_topic_score_gemma":0.003409181,"domain_scores_codex":[0.9998769,0.0000315535,0.000007873555,0.00003959089,0.00002900716,0.00001514343],"domain_scores_gemma":[0.999222,0.0005193111,0.00007925403,0.00006805736,0.00008006478,0.00003134049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002472179,0.00003816618,0.002789945,0.0001209661,0.00009242839,0.0001270163,0.0000744066,0.8605002,0.01913378,0.005769364,0.0006706229,0.1104359],"study_design_scores_gemma":[0.000002347786,0.000005468311,0.0004911997,0.000002940473,0.000002850683,0.00001318241,0.000002415065,0.9964817,0.001046361,0.001896411,0.00005237155,0.000002725932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1378644,0.0003672581,0.860296,0.000191692,0.0000510588,0.00002597557,0.0001493833,0.0003780922,0.0006761441],"genre_scores_gemma":[0.9385032,0.000221525,0.06007754,0.0000266996,0.00004314601,0.00003204236,0.0002135867,0.00004572507,0.0008364974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002638975,"threshold_uncertainty_score":0.005247295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04933295605294503,"score_gpt":0.2629681887524344,"score_spread":0.2136352326994894,"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."}}