{"id":"W2906762838","doi":"10.1109/newcas.2018.8585524","title":"Optical Control of Neural Dynamics Using LED Array","year":2018,"lang":"en","type":"article","venue":"","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Photostimulation; Optogenetics; Channelrhodopsin; Computer science; Stimulation; Neural engineering; Biological neural network; Neuroscience; Artificial intelligence; Machine learning; 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":[0.0001055852,0.0001927939,0.0001277184,0.0001760298,0.0001434116,0.0003237551,0.0004295488,0.0001877022,0.00149435],"category_scores_gemma":[0.0002516909,0.0001302353,0.0001253326,0.0001497159,0.0001828465,0.000266741,0.0002896854,0.0002055216,0.0003427666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002935169,"about_ca_system_score_gemma":0.0001776816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002819609,"about_ca_topic_score_gemma":0.0004653854,"domain_scores_codex":[0.9998907,0.00000990139,0.000006342258,0.0000343915,0.00004229941,0.00001637617],"domain_scores_gemma":[0.9998772,0.0000403921,0.00002505265,0.00001546192,0.00002941503,0.00001241063],"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":[0.0000435938,0.00002701756,0.0001969077,0.00005825178,0.000004418115,0.00007034599,0.00005318549,0.001708493,0.9804062,0.0007345557,0.0003089337,0.01638819],"study_design_scores_gemma":[0.00002222143,0.0001236375,0.00115297,0.00001048402,0.00000866665,0.0000990576,0.00003382804,0.03249537,0.9562943,0.0004015454,0.009335913,0.00002194915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6718631,0.001397964,0.2908362,0.0004949023,0.0002854584,0.0001497241,0.0004602206,0.002960706,0.03155182],"genre_scores_gemma":[0.9367265,0.0006356658,0.05549284,0.0001126957,0.00002630469,0.0001316408,0.000081815,0.00009476814,0.006697716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00149435,"threshold_uncertainty_score":0.004999101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05604189009933117,"score_gpt":0.3508197072021039,"score_spread":0.2947778171027727,"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."}}