{"id":"W2964184805","doi":"10.1007/978-3-030-20965-0_9","title":"Optimal Fisher Decoding of Neural Activity Near Criticality","year":2019,"lang":"en","type":"book-chapter","venue":"Springer series on bio- and neurosystems","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Decoding methods; Criticality; Computer science; Branching process; Stimulus (psychology); Artificial neural network; Encoding (memory); Neuroscience; Neural decoding; Neural activity; Artificial intelligence; Theoretical computer science; Algorithm; Psychology; Statistical physics; Cognitive psychology; 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":[0.0005943573,0.0008478562,0.0007580164,0.0006161956,0.0002751721,0.001040913,0.0007584142,0.0009936568,0.004869869],"category_scores_gemma":[0.00359334,0.0004929404,0.0004682022,0.0005444265,0.001178903,0.002117222,0.001466902,0.001294753,0.0011356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006487219,"about_ca_system_score_gemma":0.0006409507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001469944,"about_ca_topic_score_gemma":0.001542386,"domain_scores_codex":[0.9998026,0.00004403339,0.00001267975,0.00005032321,0.00005465174,0.00003569198],"domain_scores_gemma":[0.9993963,0.0004149908,0.00003550234,0.00005308705,0.00006839562,0.00003173711],"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":[0.0002035988,0.00003859213,0.0003458626,0.0002794107,0.0000611367,0.0001387026,0.0002121919,0.2850107,0.02323654,0.4429272,0.01019985,0.2373462],"study_design_scores_gemma":[0.000005625356,0.00002003686,0.0001841104,0.00002479241,0.000006312356,0.00005858301,0.00001740081,0.755469,0.004180232,0.2384074,0.001607533,0.00001881112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02295395,0.001084901,0.9577634,0.0007607704,0.0001309724,0.00002060181,0.0002029155,0.0005123707,0.01657021],"genre_scores_gemma":[0.6587924,0.002923392,0.2944156,0.0003644438,0.0005093882,0.0001212607,0.000788855,0.0009127164,0.04117208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004869869,"threshold_uncertainty_score":0.01629138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03590049218999679,"score_gpt":0.2440832734687901,"score_spread":0.2081827812787932,"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."}}