{"id":685,"date":"2026-02-26T17:58:04","date_gmt":"2026-02-26T17:58:04","guid":{"rendered":"https:\/\/globalsolidarity.live\/maitreyamusic\/?p=685"},"modified":"2026-02-26T17:58:07","modified_gmt":"2026-02-26T17:58:07","slug":"modelado-matematico-de-samadhi","status":"publish","type":"post","link":"https:\/\/globalsolidarity.live\/maitreyamusic\/neuroyoga\/modelado-matematico-de-samadhi\/","title":{"rendered":"Modelado Matem\u00e1tico de Samadhi"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Samadhi como reducci\u00f3n de entrop\u00eda neuronal bajo control de precisi\u00f3n y coherencia<\/h2>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">1) Variables y objetos del modelo<\/h2>\n\n\n\n<p>Trabajamos en 3 niveles:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">(A) Nivel poblacional (din\u00e1mica neuronal)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Estado neuronal (vector): <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mtext>\u2009<\/mtext><mi>x<\/mi><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>\u2208<\/mo><msup><mi mathvariant=\"double-struck\">R<\/mi><mi>n<\/mi><\/msup><\/mrow><annotation encoding=\"application\/x-tex\">\\,x(t)\\in\\mathbb{R}^n<\/annotation><\/semantics><\/math>x(t)\u2208Rn<\/li>\n\n\n\n<li>Conectividad efectiva: <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>A<\/mi><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>\u2208<\/mo><msup><mi mathvariant=\"double-struck\">R<\/mi><mrow><mi>n<\/mi><mo>\u00d7<\/mo><mi>n<\/mi><\/mrow><\/msup><\/mrow><annotation encoding=\"application\/x-tex\">A(t)\\in\\mathbb{R}^{n\\times n}<\/annotation><\/semantics><\/math>A(t)\u2208Rn\u00d7n<\/li>\n\n\n\n<li>Ruido: <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>\u03b7<\/mi><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>\u223c<\/mo><mi mathvariant=\"script\">N<\/mi><mo stretchy=\"false\">(<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><msub><mi mathvariant=\"normal\">\u03a3<\/mi><mi>\u03b7<\/mi><\/msub><mo stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">\\eta(t)\\sim \\mathcal{N}(0,\\Sigma_\\eta)<\/annotation><\/semantics><\/math>\u03b7(t)\u223cN(0,\u03a3\u03b7\u200b)<\/li>\n<\/ul>\n\n\n\n<p>Din\u00e1mica linealizada (cerca de un atractor):<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mover accent=\"true\"><mi>x<\/mi><mo>\u02d9<\/mo><\/mover><mo>=<\/mo><mi>A<\/mi><mi>x<\/mi><mo>+<\/mo><mi>\u03b7<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">\\dot{x} = A x + \\eta<\/annotation><\/semantics><\/math>x\u02d9=Ax+\u03b7<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">(B) Nivel oscilatorio\/coherencia<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Coherencia global: <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>C<\/mi><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>\u2208<\/mo><mo stretchy=\"false\">[<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><mn>1<\/mn><mo stretchy=\"false\">]<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">C(t)\\in[0,1]<\/annotation><\/semantics><\/math>C(t)\u2208[0,1] (e.g., phase-locking value promedio)<\/li>\n\n\n\n<li>Potencia gamma\/alta frecuencia (proxy): <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi mathvariant=\"normal\">\u0393<\/mi><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">\\Gamma(t)<\/annotation><\/semantics><\/math>\u0393(t)<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">(C) Nivel inferencial (Predictive Processing)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Predicci\u00f3n jer\u00e1rquica y error:<\/li>\n<\/ul>\n\n\n\n<p><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>\u03f5<\/mi><mo>=<\/mo><mi>y<\/mi><mo>\u2212<\/mo><mover accent=\"true\"><mi>y<\/mi><mo>^<\/mo><\/mover><\/mrow><annotation encoding=\"application\/x-tex\">\\epsilon = y &#8211; \\hat{y}<\/annotation><\/semantics><\/math>\u03f5=y\u2212y^\u200b<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Precisi\u00f3n (inversa de varianza) asignada al error:<\/li>\n<\/ul>\n\n\n\n<p><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi mathvariant=\"normal\">\u03a0<\/mi><mo>=<\/mo><msubsup><mi mathvariant=\"normal\">\u03a3<\/mi><mi>\u03f5<\/mi><mrow><mo>\u2212<\/mo><mn>1<\/mn><\/mrow><\/msubsup><\/mrow><annotation encoding=\"application\/x-tex\">\\Pi = \\Sigma_\\epsilon^{-1}<\/annotation><\/semantics><\/math>\u03a0=\u03a3\u03f5\u22121\u200b<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">2) Qu\u00e9 entendemos por \u201centrop\u00eda neuronal\u201d<\/h2>\n\n\n\n<p>Hay varias entrop\u00edas posibles. Para Samadhi conviene usar <strong>entrop\u00eda efectiva<\/strong> (orden funcional) y no \u201ccualquier entrop\u00eda\u201d sin significado.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2.1 Entrop\u00eda de estado (Shannon diferencial)<\/h3>\n\n\n\n<p>Si <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>x<\/mi><mo>\u223c<\/mo><mi mathvariant=\"script\">N<\/mi><mo stretchy=\"false\">(<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><mi mathvariant=\"normal\">\u03a3<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">x\\sim \\mathcal{N}(0,\\Sigma)<\/annotation><\/semantics><\/math>x\u223cN(0,\u03a3),<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>H<\/mi><mo stretchy=\"false\">(<\/mo><mi>x<\/mi><mo stretchy=\"false\">)<\/mo><mo>=<\/mo><mfrac><mn>1<\/mn><mn>2<\/mn><\/mfrac><mi>ln<\/mi><mo>\u2061<\/mo><mrow><mo fence=\"true\">(<\/mo><mo stretchy=\"false\">(<\/mo><mn>2<\/mn><mi>\u03c0<\/mi><mi>e<\/mi><msup><mo stretchy=\"false\">)<\/mo><mi>n<\/mi><\/msup><mi mathvariant=\"normal\">\u2223<\/mi><mi mathvariant=\"normal\">\u03a3<\/mi><mi mathvariant=\"normal\">\u2223<\/mi><mo fence=\"true\">)<\/mo><\/mrow><\/mrow><annotation encoding=\"application\/x-tex\">H(x) = \\frac{1}{2}\\ln\\left((2\\pi e)^n|\\Sigma|\\right)<\/annotation><\/semantics><\/math>H(x)=21\u200bln((2\u03c0e)n\u2223\u03a3\u2223)<\/p>\n\n\n\n<p>Menor <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>H<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">H<\/annotation><\/semantics><\/math>H = menor dispersi\u00f3n del estado (m\u00e1s concentraci\u00f3n alrededor de un atractor).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2.2 Entrop\u00eda espectral (desorden del espectro)<\/h3>\n\n\n\n<p>Con densidad espectral <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>P<\/mi><mo stretchy=\"false\">(<\/mo><mi>f<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">P(f)<\/annotation><\/semantics><\/math>P(f) normalizada:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi>H<\/mi><mrow><mi>s<\/mi><mi>p<\/mi><mi>e<\/mi><mi>c<\/mi><\/mrow><\/msub><mo>=<\/mo><mo>\u2212<\/mo><mo>\u222b<\/mo><mi>p<\/mi><mo stretchy=\"false\">(<\/mo><mi>f<\/mi><mo stretchy=\"false\">)<\/mo><mi>ln<\/mi><mo>\u2061<\/mo><mi>p<\/mi><mo stretchy=\"false\">(<\/mo><mi>f<\/mi><mo stretchy=\"false\">)<\/mo><mtext>\u2009<\/mtext><mi>d<\/mi><mi>f<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">H_{spec} = -\\int p(f)\\ln p(f)\\,df<\/annotation><\/semantics><\/math>Hspec\u200b=\u2212\u222bp(f)lnp(f)df<\/p>\n\n\n\n<p>M\u00e1s energ\u00eda concentrada en bandas coherentes (picos) \u2192 menor <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><msub><mi>H<\/mi><mrow><mi>s<\/mi><mi>p<\/mi><mi>e<\/mi><mi>c<\/mi><\/mrow><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">H_{spec}<\/annotation><\/semantics><\/math>Hspec\u200b.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2.3 Entrop\u00eda de complejidad inferencial (FEP)<\/h3>\n\n\n\n<p>Free Energy (aprox) = \u201cerror ponderado\u201d + \u201ccomplejidad del modelo\u201d:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>F<\/mi><mo>\u2248<\/mo><munder><munder><mrow><mi mathvariant=\"normal\">\u03a0<\/mi><mtext>\u2009<\/mtext><mi mathvariant=\"double-struck\">E<\/mi><mo stretchy=\"false\">[<\/mo><msup><mi>\u03f5<\/mi><mn>2<\/mn><\/msup><mo stretchy=\"false\">]<\/mo><\/mrow><mo stretchy=\"true\">\u23df<\/mo><\/munder><mtext>Error&nbsp;ponderado<\/mtext><\/munder><mo>+<\/mo><munder><munder><mrow><msub><mi>D<\/mi><mrow><mi>K<\/mi><mi>L<\/mi><\/mrow><\/msub><mo fence=\"false\" stretchy=\"true\" minsize=\"1.2em\" maxsize=\"1.2em\">(<\/mo><mi>q<\/mi><mo stretchy=\"false\">(<\/mo><mi>s<\/mi><mo stretchy=\"false\">)<\/mo><mtext>\u2009<\/mtext><mi mathvariant=\"normal\">\u2225<\/mi><mtext>\u2009<\/mtext><mi>p<\/mi><mo stretchy=\"false\">(<\/mo><mi>s<\/mi><mo stretchy=\"false\">)<\/mo><mo fence=\"false\" stretchy=\"true\" minsize=\"1.2em\" maxsize=\"1.2em\">)<\/mo><\/mrow><mo stretchy=\"true\">\u23df<\/mo><\/munder><mtext>Complejidad<\/mtext><\/munder><\/mrow><annotation encoding=\"application\/x-tex\">F \\approx \\underbrace{\\Pi\\,\\mathbb{E}[\\epsilon^2]}_{\\text{Error ponderado}} + \\underbrace{D_{KL}\\big(q(s)\\,\\|\\,p(s)\\big)}_{\\text{Complejidad}}<\/annotation><\/semantics><\/math>F\u2248Error&nbsp;ponderado\u03a0E[\u03f52]\u200b\u200b+ComplejidadDKL\u200b(q(s)\u2225p(s))\u200b\u200b<\/p>\n\n\n\n<p>Samadhi se interpretar\u00e1 como un r\u00e9gimen donde baja <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>F<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">F<\/annotation><\/semantics><\/math>F y baja la \u201centrop\u00eda efectiva\u201d.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">3) Hip\u00f3tesis formal: Samadhi como \u201ccolapso controlado\u201d de entrop\u00eda efectiva<\/h2>\n\n\n\n<p>Samadhi \u2260 \u201ccerebro apagado\u201d.<br>Es un <strong>estado de baja entrop\u00eda efectiva<\/strong> con alta estabilidad, alto acoplamiento y reducci\u00f3n de actividad narrativa.<\/p>\n\n\n\n<p>Formalmente proponemos:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mfrac><mi>d<\/mi><mrow><mi>d<\/mi><mi>t<\/mi><\/mrow><\/mfrac><msub><mi>H<\/mi><mrow><mi>e<\/mi><mi>f<\/mi><mi>f<\/mi><\/mrow><\/msub><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>&lt;<\/mo><mn>0<\/mn><\/mrow><annotation encoding=\"application\/x-tex\">\\frac{d}{dt}H_{eff}(t) &lt; 0<\/annotation><\/semantics><\/math>dtd\u200bHeff\u200b(t)&lt;0<\/p>\n\n\n\n<p>en el tr\u00e1nsito hacia Samadhi, y<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi>H<\/mi><mrow><mi>e<\/mi><mi>f<\/mi><mi>f<\/mi><\/mrow><\/msub><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>\u2192<\/mo><msup><mi>H<\/mi><mo>\u2217<\/mo><\/msup><mspace width=\"1em\"><\/mspace><mrow><mtext>(m<\/mtext><mover accent=\"true\"><mtext>\u0131<\/mtext><mo>\u02ca<\/mo><\/mover><mtext>nimo&nbsp;local&nbsp;estable)<\/mtext><\/mrow><\/mrow><annotation encoding=\"application\/x-tex\">H_{eff}(t)\\to H^* \\quad \\text{(m\u00ednimo local estable)}<\/annotation><\/semantics><\/math>Heff\u200b(t)\u2192H\u2217(m\u0131\u02canimo&nbsp;local&nbsp;estable)<\/p>\n\n\n\n<p>Donde <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><msub><mi>H<\/mi><mrow><mi>e<\/mi><mi>f<\/mi><mi>f<\/mi><\/mrow><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">H_{eff}<\/annotation><\/semantics><\/math>Heff\u200b combina:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi>H<\/mi><mrow><mi>e<\/mi><mi>f<\/mi><mi>f<\/mi><\/mrow><\/msub><mo>=<\/mo><mi>\u03b1<\/mi><mi>H<\/mi><mo stretchy=\"false\">(<\/mo><mi>x<\/mi><mo stretchy=\"false\">)<\/mo><mo>+<\/mo><mi>\u03b2<\/mi><msub><mi>H<\/mi><mrow><mi>s<\/mi><mi>p<\/mi><mi>e<\/mi><mi>c<\/mi><\/mrow><\/msub><mo>+<\/mo><mi>\u03b3<\/mi><mi>F<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">H_{eff} = \\alpha H(x) + \\beta H_{spec} + \\gamma F<\/annotation><\/semantics><\/math>Heff\u200b=\u03b1H(x)+\u03b2Hspec\u200b+\u03b3F<\/p>\n\n\n\n<p>con <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>\u03b1<\/mi><mo separator=\"true\">,<\/mo><mi>\u03b2<\/mi><mo separator=\"true\">,<\/mo><mi>\u03b3<\/mi><mo>&gt;<\/mo><mn>0<\/mn><\/mrow><annotation encoding=\"application\/x-tex\">\\alpha,\\beta,\\gamma&gt;0<\/annotation><\/semantics><\/math>\u03b1,\u03b2,\u03b3&gt;0.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">4) Mecanismo matem\u00e1tico 1: reducci\u00f3n de entrop\u00eda por aumento de coherencia (sincronizaci\u00f3n)<\/h2>\n\n\n\n<p>Modelamos coherencia con un par\u00e1metro tipo Kuramoto (en forma agregada):<\/p>\n\n\n\n<p>Sea <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>r<\/mi><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>\u2208<\/mo><mo stretchy=\"false\">[<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><mn>1<\/mn><mo stretchy=\"false\">]<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">r(t)\\in[0,1]<\/annotation><\/semantics><\/math>r(t)\u2208[0,1] el orden de fase (coherencia), an\u00e1logo a <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>C<\/mi><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">C(t)<\/annotation><\/semantics><\/math>C(t).<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>r<\/mi><mo>=<\/mo><mrow><mo fence=\"true\">\u2223<\/mo><mfrac><mn>1<\/mn><mi>N<\/mi><\/mfrac><munderover><mo>\u2211<\/mo><mrow><mi>k<\/mi><mo>=<\/mo><mn>1<\/mn><\/mrow><mi>N<\/mi><\/munderover><msup><mi>e<\/mi><mrow><mi>i<\/mi><msub><mi>\u03b8<\/mi><mi>k<\/mi><\/msub><\/mrow><\/msup><mo fence=\"true\">\u2223<\/mo><\/mrow><\/mrow><annotation encoding=\"application\/x-tex\">r = \\left|\\frac{1}{N}\\sum_{k=1}^N e^{i\\theta_k}\\right|<\/annotation><\/semantics><\/math>r=\u200bN1\u200bk=1\u2211N\u200bei\u03b8k\u200b\u200b<\/p>\n\n\n\n<p>En estados tipo Samadhi:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>r<\/mi><mo>\u2191<\/mo><mspace width=\"1em\"><\/mspace><mo>\u21d2<\/mo><mspace width=\"1em\"><\/mspace><msub><mi>H<\/mi><mrow><mi>s<\/mi><mi>p<\/mi><mi>e<\/mi><mi>c<\/mi><\/mrow><\/msub><mo>\u2193<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">r \\uparrow \\quad \\Rightarrow \\quad H_{spec}\\downarrow<\/annotation><\/semantics><\/math>r\u2191\u21d2Hspec\u200b\u2193<\/p>\n\n\n\n<p>Intuici\u00f3n formal:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Al subir <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>r<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">r<\/annotation><\/semantics><\/math>r, la energ\u00eda se concentra en modos colectivos \u2192 el espectro se \u201cestrecha\u201d \u2192 baja la entrop\u00eda espectral.<\/li>\n<\/ul>\n\n\n\n<p>Aproximaci\u00f3n:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi>H<\/mi><mrow><mi>s<\/mi><mi>p<\/mi><mi>e<\/mi><mi>c<\/mi><\/mrow><\/msub><mo>\u2248<\/mo><msub><mi>H<\/mi><mrow><mi>s<\/mi><mi>p<\/mi><mi>e<\/mi><mi>c<\/mi><mo separator=\"true\">,<\/mo><mn>0<\/mn><\/mrow><\/msub><mo>\u2212<\/mo><mi>k<\/mi><mi>ln<\/mi><mo>\u2061<\/mo><mrow><mo fence=\"true\">(<\/mo><mfrac><mn>1<\/mn><mrow><mn>1<\/mn><mo>\u2212<\/mo><mi>r<\/mi><\/mrow><\/mfrac><mo fence=\"true\">)<\/mo><\/mrow><\/mrow><annotation encoding=\"application\/x-tex\">H_{spec} \\approx H_{spec,0} &#8211; k\\ln\\left(\\frac{1}{1-r}\\right)<\/annotation><\/semantics><\/math>Hspec\u200b\u2248Hspec,0\u200b\u2212kln(1\u2212r1\u200b)<\/p>\n\n\n\n<p>para <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>r<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">r<\/annotation><\/semantics><\/math>r alto (con <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>k<\/mi><mo>&gt;<\/mo><mn>0<\/mn><\/mrow><annotation encoding=\"application\/x-tex\">k&gt;0<\/annotation><\/semantics><\/math>k&gt;0), capturando ca\u00edda fuerte cerca de <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>r<\/mi><mo>\u2192<\/mo><mn>1<\/mn><\/mrow><annotation encoding=\"application\/x-tex\">r\\to1<\/annotation><\/semantics><\/math>r\u21921.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">5) Mecanismo matem\u00e1tico 2: entrop\u00eda de estado baja por din\u00e1mica atractora m\u00e1s fuerte<\/h2>\n\n\n\n<p>En la linealizaci\u00f3n:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mover accent=\"true\"><mi>x<\/mi><mo>\u02d9<\/mo><\/mover><mo>=<\/mo><mi>A<\/mi><mi>x<\/mi><mo>+<\/mo><mi>\u03b7<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">\\dot{x} = A x + \\eta<\/annotation><\/semantics><\/math>x\u02d9=Ax+\u03b7<\/p>\n\n\n\n<p>Si el sistema es estable, la covarianza estacionaria <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi mathvariant=\"normal\">\u03a3<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">\\Sigma<\/annotation><\/semantics><\/math>\u03a3 satisface la ecuaci\u00f3n de Lyapunov:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>A<\/mi><mi mathvariant=\"normal\">\u03a3<\/mi><mo>+<\/mo><mi mathvariant=\"normal\">\u03a3<\/mi><msup><mi>A<\/mi><mi>T<\/mi><\/msup><mo>+<\/mo><msub><mi mathvariant=\"normal\">\u03a3<\/mi><mi>\u03b7<\/mi><\/msub><mo>=<\/mo><mn>0<\/mn><\/mrow><annotation encoding=\"application\/x-tex\">A\\Sigma + \\Sigma A^T + \\Sigma_\\eta = 0<\/annotation><\/semantics><\/math>A\u03a3+\u03a3AT+\u03a3\u03b7\u200b=0<\/p>\n\n\n\n<p>Si durante Samadhi aumenta la \u201ccontracci\u00f3n\u201d del atractor (m\u00e1s damping efectivo), entonces los autovalores de <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>A<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">A<\/annotation><\/semantics><\/math>A se vuelven m\u00e1s negativos:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mtext>Re<\/mtext><mo stretchy=\"false\">(<\/mo><msub><mi>\u03bb<\/mi><mi>i<\/mi><\/msub><mo stretchy=\"false\">(<\/mo><mi>A<\/mi><mo stretchy=\"false\">)<\/mo><mo stretchy=\"false\">)<\/mo><mo>\u2193<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">\\text{Re}(\\lambda_i(A)) \\downarrow<\/annotation><\/semantics><\/math>Re(\u03bbi\u200b(A))\u2193<\/p>\n\n\n\n<p>Eso reduce <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi mathvariant=\"normal\">\u2223<\/mi><mi mathvariant=\"normal\">\u03a3<\/mi><mi mathvariant=\"normal\">\u2223<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">|\\Sigma|<\/annotation><\/semantics><\/math>\u2223\u03a3\u2223 y por lo tanto:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>H<\/mi><mo stretchy=\"false\">(<\/mo><mi>x<\/mi><mo stretchy=\"false\">)<\/mo><mo>=<\/mo><mstyle displaystyle=\"false\" scriptlevel=\"0\"><mfrac><mn>1<\/mn><mn>2<\/mn><\/mfrac><\/mstyle><mi>ln<\/mi><mo>\u2061<\/mo><mrow><mo fence=\"true\">(<\/mo><mo stretchy=\"false\">(<\/mo><mn>2<\/mn><mi>\u03c0<\/mi><mi>e<\/mi><msup><mo stretchy=\"false\">)<\/mo><mi>n<\/mi><\/msup><mi mathvariant=\"normal\">\u2223<\/mi><mi mathvariant=\"normal\">\u03a3<\/mi><mi mathvariant=\"normal\">\u2223<\/mi><mo fence=\"true\">)<\/mo><\/mrow><mo>\u2193<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">H(x) = \\tfrac{1}{2}\\ln\\left((2\\pi e)^n|\\Sigma|\\right)\\downarrow<\/annotation><\/semantics><\/math>H(x)=21\u200bln((2\u03c0e)n\u2223\u03a3\u2223)\u2193<\/p>\n\n\n\n<p>Interpretaci\u00f3n neurofisiol\u00f3gica (compatible):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Mayor control inhibitorio prefrontal<\/li>\n\n\n\n<li>Menor ruido de redes competitivas<\/li>\n\n\n\n<li>Menor fluctuaci\u00f3n DMN narrativa<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">6) Mecanismo matem\u00e1tico 3: Samadhi como \u201crecalibraci\u00f3n de precisi\u00f3n\u201d en Predictive Processing<\/h2>\n\n\n\n<p>En PP, la energ\u00eda libre aproximada:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>F<\/mi><mo>\u2248<\/mo><mi mathvariant=\"normal\">\u03a0<\/mi><mtext>\u2009<\/mtext><mi mathvariant=\"double-struck\">E<\/mi><mo stretchy=\"false\">[<\/mo><msup><mi>\u03f5<\/mi><mn>2<\/mn><\/msup><mo stretchy=\"false\">]<\/mo><mo>+<\/mo><msub><mi>D<\/mi><mrow><mi>K<\/mi><mi>L<\/mi><\/mrow><\/msub><mo stretchy=\"false\">(<\/mo><mi>q<\/mi><mi mathvariant=\"normal\">\u2225<\/mi><mi>p<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">F \\approx \\Pi\\,\\mathbb{E}[\\epsilon^2] + D_{KL}(q\\|p)<\/annotation><\/semantics><\/math>F\u2248\u03a0E[\u03f52]+DKL\u200b(q\u2225p)<\/p>\n\n\n\n<p>Durante Samadhi, ocurre algo clave:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">6.1 Baja de precisi\u00f3n del \u201cself-model\u201d narrativo<\/h3>\n\n\n\n<p><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi mathvariant=\"normal\">\u03a0<\/mi><mrow><mi>s<\/mi><mi>e<\/mi><mi>l<\/mi><mi>f<\/mi><\/mrow><\/msub><mo>\u2193<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">\\Pi_{self}\\downarrow<\/annotation><\/semantics><\/math>\u03a0self\u200b\u2193<\/p>\n\n\n\n<p>lo cual reduce el peso de errores \u201cinterpretativos\u201d (rumiaci\u00f3n, narrativa, evaluaci\u00f3n).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">6.2 Aumento de coherencia reduce error sensorial interno<\/h3>\n\n\n\n<p>No es \u201cm\u00e1s error\u201d, es menos mismatch entre niveles:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi mathvariant=\"double-struck\">E<\/mi><mo stretchy=\"false\">[<\/mo><msup><mi>\u03f5<\/mi><mn>2<\/mn><\/msup><mo stretchy=\"false\">]<\/mo><mo>\u2193<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">\\mathbb{E}[\\epsilon^2]\\downarrow<\/annotation><\/semantics><\/math>E[\u03f52]\u2193<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">6.3 Ca\u00edda de complejidad<\/h3>\n\n\n\n<p>Si el modelo narrativo pierde actividad, baja la complejidad efectiva:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi>D<\/mi><mrow><mi>K<\/mi><mi>L<\/mi><\/mrow><\/msub><mo stretchy=\"false\">(<\/mo><mi>q<\/mi><mi mathvariant=\"normal\">\u2225<\/mi><mi>p<\/mi><mo stretchy=\"false\">)<\/mo><mo>\u2193<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">D_{KL}(q\\|p)\\downarrow<\/annotation><\/semantics><\/math>DKL\u200b(q\u2225p)\u2193<\/p>\n\n\n\n<p>Conclusi\u00f3n:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>F<\/mi><mo>\u2193<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">F \\downarrow<\/annotation><\/semantics><\/math>F\u2193<\/p>\n\n\n\n<p>Esto formaliza \u201cquietud\u201d como <strong>m\u00ednima energ\u00eda libre<\/strong>, no como ausencia de actividad.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">7) Definici\u00f3n operativa de Samadhi en el modelo<\/h2>\n\n\n\n<p>Definimos Samadhi como un r\u00e9gimen donde simult\u00e1neamente:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Alta coherencia<\/strong>:<\/li>\n<\/ol>\n\n\n\n<p><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>C<\/mi><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>&gt;<\/mo><msub><mi>C<\/mi><mrow><mi>t<\/mi><mi>h<\/mi><mi>r<\/mi><\/mrow><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">C(t) &gt; C_{thr}<\/annotation><\/semantics><\/math>C(t)&gt;Cthr\u200b<\/p>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>Entrop\u00eda espectral baja<\/strong>:<\/li>\n<\/ol>\n\n\n\n<p><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi>H<\/mi><mrow><mi>s<\/mi><mi>p<\/mi><mi>e<\/mi><mi>c<\/mi><\/mrow><\/msub><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>&lt;<\/mo><msub><mi>H<\/mi><mrow><mi>s<\/mi><mi>p<\/mi><mi>e<\/mi><mi>c<\/mi><mo separator=\"true\">,<\/mo><mi>t<\/mi><mi>h<\/mi><mi>r<\/mi><\/mrow><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">H_{spec}(t) &lt; H_{spec,thr}<\/annotation><\/semantics><\/math>Hspec\u200b(t)&lt;Hspec,thr\u200b<\/p>\n\n\n\n<ol start=\"3\" class=\"wp-block-list\">\n<li><strong>Varianza del estado baja<\/strong> (sin colapso patol\u00f3gico):<\/li>\n<\/ol>\n\n\n\n<p><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>H<\/mi><mo stretchy=\"false\">(<\/mo><mi>x<\/mi><mo stretchy=\"false\">)<\/mo><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>&lt;<\/mo><msub><mi>H<\/mi><mrow><mi>x<\/mi><mo separator=\"true\">,<\/mo><mi>t<\/mi><mi>h<\/mi><mi>r<\/mi><\/mrow><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">H(x)(t) &lt; H_{x,thr}<\/annotation><\/semantics><\/math>H(x)(t)&lt;Hx,thr\u200b<\/p>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\">\n<li><strong>Free Energy baja y estable<\/strong>:<\/li>\n<\/ol>\n\n\n\n<p><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>F<\/mi><mo stretchy=\"false\">(<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>\u2192<\/mo><msup><mi>F<\/mi><mo>\u2217<\/mo><\/msup><mo separator=\"true\">,<\/mo><mspace width=\"1em\"><\/mspace><mfrac><mrow><mi>d<\/mi><mi>F<\/mi><\/mrow><mrow><mi>d<\/mi><mi>t<\/mi><\/mrow><\/mfrac><mo>\u2192<\/mo><mn>0<\/mn><\/mrow><annotation encoding=\"application\/x-tex\">F(t)\\to F^*, \\quad \\frac{dF}{dt}\\to 0<\/annotation><\/semantics><\/math>F(t)\u2192F\u2217,dtdF\u200b\u21920<\/p>\n\n\n\n<ol start=\"5\" class=\"wp-block-list\">\n<li><strong>Dentro de zona segura<\/strong> (ver cap\u00edtulo de riesgos):<\/li>\n<\/ol>\n\n\n\n<p><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi>\u03bb<\/mi><mrow><mi>m<\/mi><mi>a<\/mi><mi>x<\/mi><\/mrow><\/msub><mo stretchy=\"false\">(<\/mo><mi>A<\/mi><mo stretchy=\"false\">)<\/mo><mo>&lt;<\/mo><msub><mi>\u03bb<\/mi><mrow><mi>c<\/mi><mi>r<\/mi><mi>i<\/mi><mi>t<\/mi><mi>i<\/mi><mi>c<\/mi><mi>a<\/mi><mi>l<\/mi><\/mrow><\/msub><mo separator=\"true\">,<\/mo><mspace width=\"1em\"><\/mspace><mi>S<\/mi><mi>N<\/mi><mi>R<\/mi><mo>&gt;<\/mo><mi>S<\/mi><mi>N<\/mi><msub><mi>R<\/mi><mrow><mi>m<\/mi><mi>i<\/mi><mi>n<\/mi><\/mrow><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">\\lambda_{max}(A) &lt; \\lambda_{critical},\\quad SNR&gt;SNR_{min}<\/annotation><\/semantics><\/math>\u03bbmax\u200b(A)&lt;\u03bbcritical\u200b,SNR&gt;SNRmin\u200b<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">8) Diferencia con estados patol\u00f3gicos (muy importante)<\/h2>\n\n\n\n<p>Baja entrop\u00eda <strong>no implica<\/strong> Samadhi.<\/p>\n\n\n\n<p>Ejemplo: crisis epil\u00e9ptica puede tener alta sincron\u00eda y \u201cbaja entrop\u00eda\u201d, pero es patol\u00f3gica.<\/p>\n\n\n\n<p>Por eso el criterio correcto es <strong>baja entrop\u00eda + estabilidad funcional + control ejecutivo<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Samadhi: coherencia alta <strong>con control y estabilidad<\/strong><\/li>\n\n\n\n<li>Epilepsia: coherencia alta <strong>sin control, con runaway<\/strong><\/li>\n<\/ul>\n\n\n\n<p>Matem\u00e1ticamente:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mtext>Samadhi:&nbsp;<\/mtext><mover accent=\"true\"><mi>x<\/mi><mo>\u02d9<\/mo><\/mover><mo>=<\/mo><mi>A<\/mi><mi>x<\/mi><mo>+<\/mo><mi>\u03b7<\/mi><mo separator=\"true\">,<\/mo><mtext>&nbsp;Re<\/mtext><mo stretchy=\"false\">(<\/mo><msub><mi>\u03bb<\/mi><mi>i<\/mi><\/msub><mo stretchy=\"false\">(<\/mo><mi>A<\/mi><mo stretchy=\"false\">)<\/mo><mo stretchy=\"false\">)<\/mo><mo>&lt;<\/mo><mn>0<\/mn><\/mrow><annotation encoding=\"application\/x-tex\">\\text{Samadhi: } \\dot{x}=Ax+\\eta,\\ \\text{Re}(\\lambda_i(A))&lt;0<\/annotation><\/semantics><\/math>Samadhi:&nbsp;x\u02d9=Ax+\u03b7,&nbsp;Re(\u03bbi\u200b(A))&lt;0 <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mtext>Runaway:&nbsp;<\/mtext><mi mathvariant=\"normal\">\u2203<\/mi><mtext>\u2009<\/mtext><msub><mi>\u03bb<\/mi><mi>i<\/mi><\/msub><mo stretchy=\"false\">(<\/mo><mi>A<\/mi><mo stretchy=\"false\">)<\/mo><mtext>&nbsp;con&nbsp;Re<\/mtext><mo stretchy=\"false\">(<\/mo><msub><mi>\u03bb<\/mi><mi>i<\/mi><\/msub><mo stretchy=\"false\">(<\/mo><mi>A<\/mi><mo stretchy=\"false\">)<\/mo><mo stretchy=\"false\">)<\/mo><mo>\u2265<\/mo><mn>0<\/mn><\/mrow><annotation encoding=\"application\/x-tex\">\\text{Runaway: } \\exists\\,\\lambda_i(A)\\ \\text{con Re}(\\lambda_i(A))\\ge 0<\/annotation><\/semantics><\/math>Runaway:&nbsp;\u2203\u03bbi\u200b(A)&nbsp;con&nbsp;Re(\u03bbi\u200b(A))\u22650<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">9) Predicciones falsables (para validar cient\u00edficamente)<\/h2>\n\n\n\n<p>El modelo hace predicciones claras:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">P1: Disminuye entrop\u00eda espectral<\/h3>\n\n\n\n<p>Medible por EEG:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><msub><mi>H<\/mi><mrow><mi>s<\/mi><mi>p<\/mi><mi>e<\/mi><mi>c<\/mi><\/mrow><\/msub><mo>\u2193<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">H_{spec}\\downarrow<\/annotation><\/semantics><\/math>Hspec\u200b\u2193<\/p>\n\n\n\n<p>con picos m\u00e1s definidos (gamma\/beta) y menor dispersi\u00f3n.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">P2: Disminuye entrop\u00eda de estado<\/h3>\n\n\n\n<p>fMRI\/EEG:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Menor variabilidad BOLD en redes narrativas (DMN)<\/li>\n\n\n\n<li>Menor entrop\u00eda de conectividad din\u00e1mica<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">P3: Baja Free Energy proxy<\/h3>\n\n\n\n<p>Medible indirectamente por:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Menor error de predicci\u00f3n en tareas interoceptivas<\/li>\n\n\n\n<li>Reducci\u00f3n de variabilidad auton\u00f3mica disfuncional<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">P4: Se preserva estabilidad<\/h3>\n\n\n\n<p>No deben aparecer:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>marcadores epileptiformes<\/li>\n\n\n\n<li>disociaci\u00f3n<\/li>\n\n\n\n<li>afectaci\u00f3n ejecutiva<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">10) F\u00f3rmula compacta final<\/h2>\n\n\n\n<p>Proponemos un \u00edndice cuantificable:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mtext>Samadhi&nbsp;Index<\/mtext><mo>=<\/mo><mfrac><mi>C<\/mi><mrow><msub><mi>H<\/mi><mrow><mi>s<\/mi><mi>p<\/mi><mi>e<\/mi><mi>c<\/mi><\/mrow><\/msub><mo>\u22c5<\/mo><mi>H<\/mi><mo stretchy=\"false\">(<\/mo><mi>x<\/mi><mo stretchy=\"false\">)<\/mo><mo>\u22c5<\/mo><mi>F<\/mi><\/mrow><\/mfrac><\/mrow><annotation encoding=\"application\/x-tex\">\\text{Samadhi Index} = \\frac{C}{H_{spec}\\cdot H(x)\\cdot F}<\/annotation><\/semantics><\/math>Samadhi&nbsp;Index=Hspec\u200b\u22c5H(x)\u22c5FC\u200b<\/p>\n\n\n\n<p>Samadhi se identifica cuando:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mtext>Samadhi&nbsp;Index<\/mtext><mo>&gt;<\/mo><mi mathvariant=\"normal\">\u0398<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">\\text{Samadhi Index} &gt; \\Theta<\/annotation><\/semantics><\/math>Samadhi&nbsp;Index&gt;\u0398<\/p>\n\n\n\n<p>bajo restricciones de seguridad.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">11) Traducci\u00f3n a NeuroYoga 3.0 (protocolo)<\/h2>\n\n\n\n<p>Samadhi (en este marco) se entrena como:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Subir coherencia <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>C<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">C<\/annotation><\/semantics><\/math>C (control respiratorio + atenci\u00f3n estable)<\/li>\n\n\n\n<li>Reducir narrativa (DMN downregulation)<\/li>\n\n\n\n<li>Recalibrar precisi\u00f3n (menos \u201cpeso\u201d a error interpretativo)<\/li>\n\n\n\n<li>Mantener estabilidad (no cruzar l\u00edmites excitatorios)<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Samadhi como reducci\u00f3n de entrop\u00eda neuronal bajo control de precisi\u00f3n y coherencia 1) Variables y objetos del modelo<\/p>\n","protected":false},"author":1,"featured_media":204,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22,10],"tags":[],"class_list":["post-685","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-neuroscience","category-neuroyoga"],"jetpack_featured_media_url":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-content\/uploads\/2026\/02\/neuromeditation.png","_links":{"self":[{"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/posts\/685","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/comments?post=685"}],"version-history":[{"count":1,"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/posts\/685\/revisions"}],"predecessor-version":[{"id":686,"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/posts\/685\/revisions\/686"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/media\/204"}],"wp:attachment":[{"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/media?parent=685"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/categories?post=685"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/tags?post=685"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}