{"id":"W3130607852","doi":"10.1016/j.neuron.2021.01.009","title":"Visualizing a joint future of neuroscience and neuromorphic engineering","year":2021,"lang":"en","type":"article","venue":"Neuron","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Google","keywords":"Neuromorphic engineering; Computational neuroscience; Neuroscience; Focus (optics); Systems neuroscience; Computer science; Joint (building); Cognitive science; Human–computer interaction; Artificial intelligence; Artificial neural network; Psychology; Engineering; 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":[0.000843819,0.0006403768,0.0003385649,0.0007618538,0.0006690715,0.005048656,0.0008806696,0.001614048,0.01201057],"category_scores_gemma":[0.00177439,0.0002481806,0.000347479,0.0005345046,0.002995058,0.008125001,0.00227564,0.002642128,0.001709415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007515211,"about_ca_system_score_gemma":0.0008861754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007581345,"about_ca_topic_score_gemma":0.001255279,"domain_scores_codex":[0.9997498,0.00008919441,0.000007475446,0.00003166427,0.0000901462,0.00003167032],"domain_scores_gemma":[0.9993117,0.0002767515,0.00003534995,0.000102152,0.0001243188,0.0001496814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006845637,0.0000233435,0.000392962,0.0002685229,0.0000284612,0.0001549471,0.0006311581,0.003997365,0.009798478,0.9048886,0.02151749,0.05823035],"study_design_scores_gemma":[0.00001927528,0.00002999369,0.0004058321,0.0001427147,0.00001327631,0.000255186,0.0005780876,0.0158327,0.002584286,0.7940058,0.1861053,0.00002746364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03741693,0.05772465,0.5633696,0.07642759,0.007054941,0.00005454415,0.0004586759,0.002582941,0.25491],"genre_scores_gemma":[0.686563,0.02883549,0.2063805,0.004502302,0.003258075,0.0001163719,0.0003091441,0.0007279746,0.06930733],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01201057,"threshold_uncertainty_score":0.04017937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615365525832756,"score_gpt":0.2256086934983187,"score_spread":0.1994550382399911,"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."}}