{"id":6722,"date":"2021-06-03T19:12:36","date_gmt":"2021-06-03T17:12:36","guid":{"rendered":"https:\/\/edublog.educastur.es\/ixuxu\/?p=6722"},"modified":"2021-06-03T19:21:33","modified_gmt":"2021-06-03T17:21:33","slug":"cientificos-de-google-y-luniversida-dharvard-crean-un-mapa-del-celebru-humanu","status":"publish","type":"post","link":"https:\/\/edublog.educastur.es\/ixuxu\/2021\/06\/cientificos-de-google-y-luniversida-dharvard-crean-un-mapa-del-celebru-humanu\/","title":{"rendered":"Cient\u00edficos de Google y l&#8217;universid\u00e1 d\u00b4Harvard crean un mapa del celebru humanu"},"content":{"rendered":"<p style=\"text-align: center\"><span style=\"font-size: 20px\"><strong><span style=\"color: #008080\"><em>Con 225 millones d&#8217;imaxes&#8230;<\/em> <\/span><\/strong><\/span><\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/www.ecestaticos.com\/image\/clipping\/1440\/810\/005fc186570b67f27f8b22cfc15e2f78\/el-mapa-de-solo-un-1-milimetro-cubico-del-cerebro-ocupa-700-000-millones-de-paginas.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/www.ecestaticos.com\/image\/clipping\/1440\/810\/005fc186570b67f27f8b22cfc15e2f78\/el-mapa-de-solo-un-1-milimetro-cubico-del-cerebro-ocupa-700-000-millones-de-paginas.jpg\" alt=\"\" width=\"1440\" height=\"810\" \/><\/a><\/p>\n<p style=\"text-align: center\"><span style=\"color: #008080\"><em><strong>\u00dan de los cortes del celebro usaos para\u00b4l mapa<\/strong> (Google\/Lichtman Laboratory)<\/em><\/span><\/p>\n<p style=\"text-align: left\">El mapa de nam\u00e1 un 1 mil\u00edmetru c\u00fabicu del celebru ocupa 700.000 millones de p\u00e1xines. Cient\u00edficos de Google y l&#8217;universid\u00e1 d\u00b4Harvard crean un mapa 3D d&#8217;un mil\u00edmetru c\u00fabicu del celebru humanu usando 225 millones d&#8217;imaxes y 1,4 petabytes de datos.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.elconfidencial.com\/tecnologia\/novaceno\/2021-06-02\/google-mapa-cerebro-humano-3d_3111487\/?utm_source=dlvr.it&amp;utm_medium=facebook\">Fonte noticia: El Confidencial<\/a><\/li>\n<li><a href=\"https:\/\/h01-dot-neuroglancer-demo.appspot.com\/#!%7B%22dimensions%22:%7B%22x%22:%5B8e-9%2C%22m%22%5D%2C%22y%22:%5B8e-9%2C%22m%22%5D%2C%22z%22:%5B3.3e-8%2C%22m%22%5D%7D%2C%22position%22:%5B379548.5%2C137610.125%2C2660.5%5D%2C%22crossSectionScale%22:5.776802800212544%2C%22projectionScale%22:261570.24038807175%2C%22layers%22:%5B%7B%22type%22:%22image%22%2C%22source%22:%22precomputed:\/\/gs:\/\/h01-release\/data\/20210601\/4nm_raw%22%2C%22tab%22:%22source%22%2C%22name%22:%224nm%20EM%22%7D%2C%7B%22type%22:%22segmentation%22%2C%22source%22:%5B%7B%22url%22:%22precomputed:\/\/gs:\/\/h01-release\/data\/20210601\/c3%22%2C%22subsources%22:%7B%22default%22:true%2C%22bounds%22:true%2C%22mesh%22:true%7D%2C%22enableDefaultSubsources%22:false%7D%2C%22precomputed:\/\/gs:\/\/lichtman-h01-49eee972005c8846803ef58fbd36e049\/goog14r0s5c3_new_props\/segment_properties%22%5D%2C%22panels%22:%5B%7B%22flex%22:1.55%2C%22tab%22:%22segments%22%7D%5D%2C%22segments%22:%5B%221100054524%22%2C%221115430292%22%2C%2212237931142%22%2C%221333290325%22%2C%221538274151%22%2C%221539076840%22%2C%221594648509%22%2C%221638188509%22%2C%221828951844%22%2C%221915887451%22%2C%221988993337%22%2C%2220070214646%22%2C%222090806103%22%2C%222134549398%22%2C%222178704414%22%2C%222294780853%22%2C%222339328448%22%2C%222499107339%22%2C%222499384877%22%2C%222557789796%22%2C%222673254402%22%2C%2227622860459%22%2C%2227651872764%22%2C%2227870683066%22%2C%222791142865%22%2C%2228000894735%22%2C%2228045909614%22%2C%2228378958224%22%2C%2228409678489%22%2C%2228452985548%22%2C%2228525770719%22%2C%2228643309290%22%2C%2228672203772%22%2C%2228802547903%22%2C%2228803598117%22%2C%2228918216929%22%2C%2229021270843%22%2C%2229182786959%22%2C%2229238417446%22%2C%2229298236361%22%2C%222935896346%22%2C%2229459096371%22%2C%2229618159554%22%2C%2229765396306%22%2C%2229925423252%22%2C%2229938695074%22%2C%2229969547791%22%2C%2230101233972%22%2C%223023633866%22%2C%2230376944711%22%2C%2230406000355%22%2C%223052908678%22%2C%2230668773752%22%2C%2230767987832%22%2C%2230871567933%22%2C%2230974109956%22%2C%2231031989065%22%2C%2231032951251%22%2C%2231061717348%22%2C%2231133932587%22%2C%2231149133165%22%2C%223125564306%22%2C%2231658722916%22%2C%2232444986357%22%2C%223430740099%22%2C%223504577656%22%2C%223518943222%22%2C%223573728110%22%2C%2236123853342%22%2C%2236153829678%22%2C%2236241229806%22%2C%2236284756264%22%2C%2236445761568%22%2C%2236590837294%22%2C%2236619747807%22%2C%2236620463168%22%2C%2236633005581%22%2C%223664545249%22%2C%2236662790455%22%2C%2236678107375%22%2C%2236763714196%22%2C%2236809473223%22%2C%2236822073774%22%2C%2236822262086%22%2C%2236852896228%22%2C%2237173591638%22%2C%2237218168369%22%2C%2237318668413%22%2C%2237319791473%22%2C%2237420743412%22%2C%2237421824682%22%2C%2237463700916%22%2C%2237536734693%22%2C%2237581252436%22%2C%2237594612366%22%2C%2237668755920%22%2C%2237770758892%22%2C%2237801070911%22%2C%2237930756265%22%2C%2237958718097%22%2C%2238018479939%22%2C%2238092682277%22%2C%2238106873604%22%2C%2238208029710%22%2C%2238222309348%22%2C%2238339219897%22%2C%2238368158152%22%2C%2238383402139%22%2C%223839697992%22%2C%2238413115427%22%2C%2238543488421%22%2C%2238573083867%22%2C%2238586823171%22%2C%2238602358951%22%2C%2238717924646%22%2C%2238863556782%22%2C%2238863862489%22%2C%223897678996%22%2C%2238994907574%22%2C%2239023934118%22%2C%2239038491013%22%2C%2239052800624%22%2C%2239081564265%22%2C%2239271712983%22%2C%2239271916939%22%2C%2239359991385%22%2C%223941569746%22%2C%2239505037109%22%2C%2239694250521%22%2C%2240043667040%22%2C%2240102203154%22%2C%2240247497000%22%2C%2240378483178%22%2C%2240407875435%22%2C%2240464862282%22%2C%2241354296446%22%2C%2241630488832%22%2C%224217863883%22%2C%224318903980%22%2C%2245701832369%22%2C%224580553370%22%2C%224698412002%22%2C%224784821941%22%2C%2248079386659%22%2C%224917456198%22%2C%224961186471%22%2C%225062824784%22%2C%225499847526%22%2C%2258866575372%22%2C%2259536235974%22%2C%225965326176%22%2C%226024781859%22%2C%22664433854%22%2C%22707068981%22%2C%22794630620%22%2C%22823395680%22%2C%22853035674%22%2C%22910562342%22%5D%2C%22segmentQuery%22:%22#interneuron%20#L2%20NSe%3E=800%20%3CNSi%22%2C%22colorSeed%22:4270253886%2C%22name%22:%22c3%20segmentation%22%7D%2C%7B%22type%22:%22segmentation%22%2C%22source%22:%22precomputed:\/\/gs:\/\/h01-release\/data\/20210601\/layers%22%2C%22tab%22:%22source%22%2C%22selectedAlpha%22:0.3%2C%22objectAlpha%22:0.2%2C%22segments%22:%5B%221%22%2C%222%22%2C%223%22%2C%224%22%2C%225%22%2C%226%22%2C%227%22%5D%2C%22segmentQuery%22:%221%2C2%2C3%2C4%2C5%2C6%2C7%22%2C%22name%22:%22cortical%20layers%22%2C%22visible%22:false%7D%5D%2C%22showSlices%22:false%2C%22prefetch%22:false%2C%22selectedLayer%22:%7B%22row%22:1%2C%22flex%22:1.55%2C%22size%22:309%2C%22layer%22:%224nm%20EM%22%7D%2C%22layout%22:%7B%22type%22:%22xy-3d%22%2C%22orthographicProjection%22:true%7D%2C%22selection%22:%7B%22row%22:2%2C%22flex%22:0.45%2C%22size%22:309%2C%22visible%22:false%7D%7D\">MAPA INTERACTIVU (Google Chrome)<\/a><\/li>\n<\/ul>\n<p><!--more--><\/p>\n<p>Crearon el mapa del celebru humanu m\u00e1s detall\u00e1u de la hestoria,<strong><span style=\"color: #008080\"> usando m\u00e1s de 225 millones d&#8217;imaxes y miles d&#8217;hores de supercomputaci\u00f3n<\/span> <\/strong>mientres m\u00e1s d&#8217;un a\u00f1u de trabayu.<\/p>\n<p>La resultancia nun ye nam\u00e1 una marav\u00eda de la neurociencia sin\u00f3n qu&#8217;am\u00e1s ye una nueva demostraci\u00f3n de l\u00b4incre\u00edblemente complexu que ye&#8217;l celebru humanu: tou esi esfuerzu y l&#8217;incre\u00edble volume de datos resultante nam\u00e1 c<strong><span style=\"color: #008080\">onsiguieron codificar un mil\u00edmetru c\u00fabicu del celebru.<\/span><\/strong><\/p>\n<p>Para poner esti datu en contestu, ente que esti mapa d&#8217;un mil\u00edmetru c\u00fabicu <strong><span style=\"color: #008080\">utiliz\u00f3 1,4 petabytes de datos<\/span><\/strong> \u2014 un volume d&#8217;informaci\u00f3n lo suficientemente grande como para almacenar casi cuatro a\u00f1os de v\u00eddeu n&#8217;altu resolvimientu o 700.000 millones de p\u00e1xines de testu \u2014 el celebru humanu tien un volume medio de 1.260.000 mil\u00edmetros c\u00fabicos.<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/www.ecestaticos.com\/image\/clipping\/5bbd06f30fa1e74d9e5d0053436d2d61\/imagen-3d-de-una-pequena-seccion-del-milimetro-cubico-de-cerebro-google-lichtman-laboratory.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/www.ecestaticos.com\/image\/clipping\/5bbd06f30fa1e74d9e5d0053436d2d61\/imagen-3d-de-una-pequena-seccion-del-milimetro-cubico-de-cerebro-google-lichtman-laboratory.jpg\" alt=\"\" width=\"1338\" height=\"754\" \/><\/a><\/p>\n<p style=\"text-align: center\"><em>Imaxe 3D d&#8217;una pequena secci\u00f3n del mil\u00edmetru c\u00fabicu de celebru <\/em><br \/>\n<em>(Google\/Lichtman Laboratory)<\/em><\/p>\n<p>Seg\u00fan el so estudiu, esti mapa recueye nam\u00e1 una millon\u00e9sima parte de los envaloraos 86.000 millones de neurones y ente 100 y 500 billones de sinapsis qu&#8217;hai nel celebru. Pero, ent\u00e1 asina, nun dexa de ser impresionante.<\/p>\n<p>C\u00f3mo lo fixeron: Seg\u00fan un art\u00edculu public\u00e1u por Google, el so mapa empez\u00f3 con una amuesa d&#8217;un mil\u00edmetru c\u00fabicu tomada del l\u00f3bulu temporal d&#8217;un celebru humanu. Dempu\u00e9s de ti\u00f1ilo pa llograr m\u00e1s contraste, l\u00b4encapsularon en resina por que pudiera caltener la so forma.<\/p>\n<p>Depu\u00e9s consiguieron cortar esti mil\u00edmetru en 5.300 capes. En total, ca\u00fana d&#8217;estes capes ten\u00eda una grosez de nam\u00e1 30 nan\u00f3metros. En comparanza, un pelo humanu mediu tien una grosez de 70.000 nan\u00f3metros. L&#8217;equipu pas\u00f3 ca\u00fana d&#8217;estes nanolonchas por un microscopiu electr\u00f3nicu con un resolvimientu de 4 nan\u00f3metros. D&#8217;ende salieron les 225 millones d&#8217;imaxes en dos dimensiones, que fueron asitiaes por un supercomputador n&#8217;una matriz tridimensional pa llograr el modelu final.<\/p>\n<p>Pero&#8217;l procesu nun acaba ende: <span style=\"color: #008080\"><strong>pa crear el mapa de conexones, los cient\u00edficos tuvieron qu&#8217;utilizar algoritmos d\u00b4anteligencia artificial.<\/strong><\/span> Estos algoritmos tien dos funciones. Una ye desfacer d&#8217;inconsistencies y erros mientres el procesu d&#8217;escanio. La otra, identificar qu\u00e9 ye qu\u00e9 dientro de la tomograf\u00eda.<\/p>\n<p>Inda un gran misteriu:\u00a0<a href=\"https:\/\/h01-dot-neuroglancer-demo.appspot.com\/#!%7B%22dimensions%22:%7B%22x%22:%5B8e-9%2C%22m%22%5D%2C%22y%22:%5B8e-9%2C%22m%22%5D%2C%22z%22:%5B3.3e-8%2C%22m%22%5D%7D%2C%22position%22:%5B379548.5%2C137610.125%2C2660.5%5D%2C%22crossSectionScale%22:5.776802800212544%2C%22projectionScale%22:261570.24038807175%2C%22layers%22:%5B%7B%22type%22:%22image%22%2C%22source%22:%22precomputed:\/\/gs:\/\/h01-release\/data\/20210601\/4nm_raw%22%2C%22tab%22:%22source%22%2C%22name%22:%224nm%20EM%22%7D%2C%7B%22type%22:%22segmentation%22%2C%22source%22:%5B%7B%22url%22:%22precomputed:\/\/gs:\/\/h01-release\/data\/20210601\/c3%22%2C%22subsources%22:%7B%22default%22:true%2C%22bounds%22:true%2C%22mesh%22:true%7D%2C%22enableDefaultSubsources%22:false%7D%2C%22precomputed:\/\/gs:\/\/lichtman-h01-49eee972005c8846803ef58fbd36e049\/goog14r0s5c3_new_props\/segment_properties%22%5D%2C%22panels%22:%5B%7B%22flex%22:1.55%2C%22tab%22:%22segments%22%7D%5D%2C%22segments%22:%5B%221100054524%22%2C%221115430292%22%2C%2212237931142%22%2C%221333290325%22%2C%221538274151%22%2C%221539076840%22%2C%221594648509%22%2C%221638188509%22%2C%221828951844%22%2C%221915887451%22%2C%221988993337%22%2C%2220070214646%22%2C%222090806103%22%2C%222134549398%22%2C%222178704414%22%2C%222294780853%22%2C%222339328448%22%2C%222499107339%22%2C%222499384877%22%2C%222557789796%22%2C%222673254402%22%2C%2227622860459%22%2C%2227651872764%22%2C%2227870683066%22%2C%222791142865%22%2C%2228000894735%22%2C%2228045909614%22%2C%2228378958224%22%2C%2228409678489%22%2C%2228452985548%22%2C%2228525770719%22%2C%2228643309290%22%2C%2228672203772%22%2C%2228802547903%22%2C%2228803598117%22%2C%2228918216929%22%2C%2229021270843%22%2C%2229182786959%22%2C%2229238417446%22%2C%2229298236361%22%2C%222935896346%22%2C%2229459096371%22%2C%2229618159554%22%2C%2229765396306%22%2C%2229925423252%22%2C%2229938695074%22%2C%2229969547791%22%2C%2230101233972%22%2C%223023633866%22%2C%2230376944711%22%2C%2230406000355%22%2C%223052908678%22%2C%2230668773752%22%2C%2230767987832%22%2C%2230871567933%22%2C%2230974109956%22%2C%2231031989065%22%2C%2231032951251%22%2C%2231061717348%22%2C%2231133932587%22%2C%2231149133165%22%2C%223125564306%22%2C%2231658722916%22%2C%2232444986357%22%2C%223430740099%22%2C%223504577656%22%2C%223518943222%22%2C%223573728110%22%2C%2236123853342%22%2C%2236153829678%22%2C%2236241229806%22%2C%2236284756264%22%2C%2236445761568%22%2C%2236590837294%22%2C%2236619747807%22%2C%2236620463168%22%2C%2236633005581%22%2C%223664545249%22%2C%2236662790455%22%2C%2236678107375%22%2C%2236763714196%22%2C%2236809473223%22%2C%2236822073774%22%2C%2236822262086%22%2C%2236852896228%22%2C%2237173591638%22%2C%2237218168369%22%2C%2237318668413%22%2C%2237319791473%22%2C%2237420743412%22%2C%2237421824682%22%2C%2237463700916%22%2C%2237536734693%22%2C%2237581252436%22%2C%2237594612366%22%2C%2237668755920%22%2C%2237770758892%22%2C%2237801070911%22%2C%2237930756265%22%2C%2237958718097%22%2C%2238018479939%22%2C%2238092682277%22%2C%2238106873604%22%2C%2238208029710%22%2C%2238222309348%22%2C%2238339219897%22%2C%2238368158152%22%2C%2238383402139%22%2C%223839697992%22%2C%2238413115427%22%2C%2238543488421%22%2C%2238573083867%22%2C%2238586823171%22%2C%2238602358951%22%2C%2238717924646%22%2C%2238863556782%22%2C%2238863862489%22%2C%223897678996%22%2C%2238994907574%22%2C%2239023934118%22%2C%2239038491013%22%2C%2239052800624%22%2C%2239081564265%22%2C%2239271712983%22%2C%2239271916939%22%2C%2239359991385%22%2C%223941569746%22%2C%2239505037109%22%2C%2239694250521%22%2C%2240043667040%22%2C%2240102203154%22%2C%2240247497000%22%2C%2240378483178%22%2C%2240407875435%22%2C%2240464862282%22%2C%2241354296446%22%2C%2241630488832%22%2C%224217863883%22%2C%224318903980%22%2C%2245701832369%22%2C%224580553370%22%2C%224698412002%22%2C%224784821941%22%2C%2248079386659%22%2C%224917456198%22%2C%224961186471%22%2C%225062824784%22%2C%225499847526%22%2C%2258866575372%22%2C%2259536235974%22%2C%225965326176%22%2C%226024781859%22%2C%22664433854%22%2C%22707068981%22%2C%22794630620%22%2C%22823395680%22%2C%22853035674%22%2C%22910562342%22%5D%2C%22segmentQuery%22:%22#interneuron%20#L2%20NSe%3E=800%20%3CNSi%22%2C%22colorSeed%22:4270253886%2C%22name%22:%22c3%20segmentation%22%7D%2C%7B%22type%22:%22segmentation%22%2C%22source%22:%22precomputed:\/\/gs:\/\/h01-release\/data\/20210601\/layers%22%2C%22tab%22:%22source%22%2C%22selectedAlpha%22:0.3%2C%22objectAlpha%22:0.2%2C%22segments%22:%5B%221%22%2C%222%22%2C%223%22%2C%224%22%2C%225%22%2C%226%22%2C%227%22%5D%2C%22segmentQuery%22:%221%2C2%2C3%2C4%2C5%2C6%2C7%22%2C%22name%22:%22cortical%20layers%22%2C%22visible%22:false%7D%5D%2C%22showSlices%22:false%2C%22prefetch%22:false%2C%22selectedLayer%22:%7B%22row%22:1%2C%22flex%22:1.55%2C%22size%22:309%2C%22layer%22:%224nm%20EM%22%7D%2C%22layout%22:%7B%22type%22:%22xy-3d%22%2C%22orthographicProjection%22:true%7D%2C%22selection%22:%7B%22row%22:2%2C%22flex%22:0.45%2C%22size%22:309%2C%22visible%22:false%7D%7D\"><span style=\"color: #008080\"><strong> El mapa \u2014 que sigue&#8217;l que y\u00e1 fixeron de la mosca de la fruta \u2014 ye totalmente interactivo (riqui Google Chrome pa funcionar)<\/strong><\/span><\/a>. Y toos los elementos d&#8217;esti mapa 3D t\u00e1n perfectamente identificaos pola AI: Axones, mielina, cilia y dendritos, seg\u00fan venes y arteries, t\u00e1n toos ende.<\/p>\n<p><span style=\"color: #008080\"><strong>Esti esfuerzu para mapear les conexones de too el celebru humanu \u2014 llam\u00e1u connectome<\/strong> <\/span>\u2014 inda ta na so infancia. Usando&#8217;l mesmu m\u00e9todu, el volume d&#8217;almacenamientu necesariu para mapear un celebru completu ser\u00eda de 1,4 zettabytes. La estimaci\u00f3n actual ye que tolos datos d&#8217;internet ocupen unos 40 zettabytes. Esto ye, nun da nin para&#8217;l mapa de 30 celebros humanos. Seg\u00fan una c\u00e1lculu de 2019, Google, Amazon, Microsoft y Facebook almacenen ente toos 1,200 petabytes. Esto ye: nam\u00e1 0.0012 zettabytes. Ta claro que&#8217;l retu ye tit\u00e1nicu.<\/p>\n<p>N&#8217;otres palabres, consiguir el santu grial del mapa completu del celebru humanu qu\u00e9danos inda abondo llue\u00f1e. Pero tamos en cam\u00edn y, con esa conocencia, quiciabes vamos poder entender la nuesa esistencia un pocu meyor.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Con 225 millones d&#8217;imaxes&#8230; \u00dan de los cortes del celebro usaos para\u00b4l mapa (Google\/Lichtman Laboratory) El mapa de nam\u00e1 un 1 mil\u00edmetru c\u00fabicu del celebru ocupa 700.000 millones de p\u00e1xines. Cient\u00edficos de Google y l&#8217;universid\u00e1 d\u00b4Harvard crean un mapa 3D d&#8217;un mil\u00edmetru c\u00fabicu del celebru humanu usando 225 millones d&#8217;imaxes y 1,4 petabytes de datos. [&hellip;]<\/p>\n","protected":false},"author":117,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45,25],"tags":[],"class_list":["post-6722","post","type-post","status-publish","format-standard","hentry","category-ciencia","category-curiosidaes"],"_links":{"self":[{"href":"https:\/\/edublog.educastur.es\/ixuxu\/wp-json\/wp\/v2\/posts\/6722","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/edublog.educastur.es\/ixuxu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/edublog.educastur.es\/ixuxu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/edublog.educastur.es\/ixuxu\/wp-json\/wp\/v2\/users\/117"}],"replies":[{"embeddable":true,"href":"https:\/\/edublog.educastur.es\/ixuxu\/wp-json\/wp\/v2\/comments?post=6722"}],"version-history":[{"count":4,"href":"https:\/\/edublog.educastur.es\/ixuxu\/wp-json\/wp\/v2\/posts\/6722\/revisions"}],"predecessor-version":[{"id":6726,"href":"https:\/\/edublog.educastur.es\/ixuxu\/wp-json\/wp\/v2\/posts\/6722\/revisions\/6726"}],"wp:attachment":[{"href":"https:\/\/edublog.educastur.es\/ixuxu\/wp-json\/wp\/v2\/media?parent=6722"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/edublog.educastur.es\/ixuxu\/wp-json\/wp\/v2\/categories?post=6722"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/edublog.educastur.es\/ixuxu\/wp-json\/wp\/v2\/tags?post=6722"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}