{"id":"W2963796046","doi":"10.1109/tbcas.2019.2930498","title":"A Wireless Electro-Optic Headstage With a 0.13-${\\mu}$m CMOS Custom Integrated DWT Neural Signal Decoder for Closed-Loop Optogenetics","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Circuits and Systems","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; CMC Microsystems","keywords":"CMOS; Optogenetics; Wireless; SIGNAL (programming language); Closed loop; Computer science; Electronic engineering; Phase-locked loop; Electrical engineering; Engineering; Telecommunications; Neuroscience; Phase noise","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003487572,0.0003805619,0.0005133343,0.000352927,0.0003345955,0.0002461387,0.0003899741,0.0002768183,0.0001605234],"category_scores_gemma":[0.00001662739,0.0002823968,0.0001378303,0.0007312531,0.0003836218,0.0001164386,0.000003812414,0.0005600444,0.00005262859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123758,"about_ca_system_score_gemma":0.0002735768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001079826,"about_ca_topic_score_gemma":0.00002465714,"domain_scores_codex":[0.9965574,0.0002457168,0.0005019306,0.0008646439,0.0009590963,0.0008712274],"domain_scores_gemma":[0.9982451,0.0005498973,0.0001020368,0.0003760297,0.0001554323,0.0005715101],"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":[0.000388798,0.0005321364,0.0001500456,0.0003057064,0.00007011944,0.00003580942,0.0002622728,0.0009513042,0.9730716,0.0001149825,0.0001738683,0.02394339],"study_design_scores_gemma":[0.00536751,0.00527092,0.00009143993,0.0002842967,0.0001006912,0.0004588901,0.0004127774,0.3942663,0.5850948,0.00002160107,0.007703878,0.0009269266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.843078,0.0001066206,0.1537007,0.00009752816,0.0007306508,0.001681054,0.0003457257,0.0000957446,0.0001639545],"genre_scores_gemma":[0.9980978,0.00007669866,0.00003958034,0.0001722388,0.00009813841,0.0003168198,0.00001415858,0.00006168021,0.001122904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.393315,"threshold_uncertainty_score":0.9999628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03414828326813618,"score_gpt":0.2831742625669792,"score_spread":0.249025979298843,"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."}}