{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000342042,0.0001011133,0.0001286747,0.00004029569,0.00003458552,0.00001484047,0.00005252656,0.00002448761,0.000002670163],"category_scores_gemma":[0.00004412609,0.0001101118,0.00002699993,0.0002016395,0.0000159648,0.0001038476,0.00005637663,0.0001714682,7.523569e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004832523,"about_ca_system_score_gemma":0.000005734286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.013003e-7,"about_ca_topic_score_gemma":1.89243e-7,"domain_scores_codex":[0.9994221,0.00001434515,0.0001395954,0.0001734608,0.00008937621,0.0001611563],"domain_scores_gemma":[0.9997495,0.00003072889,0.00002015044,0.0001279181,0.00001727701,0.00005440478],"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":[0.000001033843,0.000004250047,0.00004156009,0.00008989097,7.794551e-7,0.00007586432,0.00005828131,0.02756088,0.9692571,0.0001776621,0.00001100264,0.002721742],"study_design_scores_gemma":[0.0002491816,0.00008274935,0.02251617,0.0000738342,0.00001011985,0.0003624986,0.00003136369,0.1583637,0.8102904,0.00004004888,0.007733612,0.0002463064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964336,0.0006430127,0.00185797,0.00005429914,0.0007213301,0.00003683514,0.000001397346,0.0001582666,0.00009324797],"genre_scores_gemma":[0.9992406,0.0001712764,0.0003361021,0.0001129976,0.0001034488,0.000001071578,5.651773e-7,0.0000214779,0.00001245757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1589667,"threshold_uncertainty_score":0.4490229,"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."}}