{"id":8882,"date":"2013-02-05T00:21:19","date_gmt":"2013-02-04T22:21:19","guid":{"rendered":"http:\/\/hgpu.org\/?p=8882"},"modified":"2013-02-05T00:21:19","modified_gmt":"2013-02-04T22:21:19","slug":"real-time-phase-masks-for-interactive-stimulation-of-optogenetic-neurons","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8882","title":{"rendered":"Real-Time Phase Masks for Interactive Stimulation of Optogenetic Neurons"},"content":{"rendered":"<p>Experiments with networks of optogenetically altered neurons require stimulation with high spatio-temporal selectivity. Computer-assisted holography is an energy-efficient method for robust and reliable addressing of single neurons on the millisecond-timescale inherent to biologial information processing. We show that real-time control of neurons can be achieved by a CUDA-based hologram computation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Experiments with networks of optogenetically altered neurons require stimulation with high spatio-temporal selectivity. Computer-assisted holography is an energy-efficient method for robust and reliable addressing of single neurons on the millisecond-timescale inherent to biologial information processing. We show that real-time control of neurons can be achieved by a CUDA-based hologram computation.<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[10,89,157,3],"tags":[1781,14,1796,632,20,298,1006],"class_list":["post-8882","post","type-post","status-publish","format-standard","hentry","category-biology","category-nvidia-cuda","category-mathematics","category-paper","tag-biology","tag-cuda","tag-mathematics","tag-neurons-and-cognition","tag-nvidia","tag-optimization","tag-tesla-c2070"],"views":2422,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8882","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8882"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8882\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8882"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8882"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8882"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}