{"id":700,"date":"2026-02-26T18:43:11","date_gmt":"2026-02-26T18:43:11","guid":{"rendered":"https:\/\/globalsolidarity.live\/maitreyamusic\/?p=700"},"modified":"2026-02-26T18:43:13","modified_gmt":"2026-02-26T18:43:13","slug":"a-computational-translational-framework-for-cognitive-optimization","status":"publish","type":"post","link":"https:\/\/globalsolidarity.live\/maitreyamusic\/neuroyoga\/a-computational-translational-framework-for-cognitive-optimization\/","title":{"rendered":"A Computational &#038; Translational Framework for Cognitive Optimization"},"content":{"rendered":"\n<p>NEUROYOGA 3.0<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Technical White Paper for Institutional Collaboration<\/h3>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">1. Executive Summary<\/h1>\n\n\n\n<p>NeuroYoga 3.0 is a research-driven framework designed to investigate and optimize human cognitive performance through structured attentional training, predictive processing calibration, and human\u2013AI integration.<\/p>\n\n\n\n<p>The initiative does not propose metaphysical claims or irreversible biological modification. Instead, it focuses on:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Neural entropy modulation<\/li>\n\n\n\n<li>Precision weighting recalibration<\/li>\n\n\n\n<li>Hierarchical predictive model refinement<\/li>\n\n\n\n<li>Plasticity\u2013stability balance<\/li>\n\n\n\n<li>Stress\u2013inflammation interaction<\/li>\n\n\n\n<li>Human\u2013AI collaborative inference acceleration<\/li>\n<\/ul>\n\n\n\n<p>The objective is to formalize a scientifically measurable discipline that enhances cognitive resilience and analytical capacity within physiological and ethical boundaries.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">2. Scientific Rationale<\/h1>\n\n\n\n<h2 class=\"wp-block-heading\">2.1 Limitation of Current Paradigm<\/h2>\n\n\n\n<p>Traditional scientific advancement optimizes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Instrumentation<\/li>\n\n\n\n<li>Experimental design<\/li>\n\n\n\n<li>Data processing<\/li>\n<\/ul>\n\n\n\n<p>However, cognitive performance of the researcher remains largely unmodeled.<\/p>\n\n\n\n<p>NeuroYoga 3.0 introduces a complementary axis:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>S<\/mi><mi>c<\/mi><mi>i<\/mi><mi>e<\/mi><mi>n<\/mi><mi>t<\/mi><mi>i<\/mi><mi>f<\/mi><mi>i<\/mi><mi>c<\/mi><mtext>&nbsp;<\/mtext><mi>O<\/mi><mi>u<\/mi><mi>t<\/mi><mi>p<\/mi><mi>u<\/mi><mi>t<\/mi><mo>=<\/mo><mi>f<\/mi><mo stretchy=\"false\">(<\/mo><mi>O<\/mi><mi>b<\/mi><mi>j<\/mi><mi>e<\/mi><mi>c<\/mi><mi>t<\/mi><mtext>&nbsp;<\/mtext><mi>R<\/mi><mi>i<\/mi><mi>g<\/mi><mi>o<\/mi><mi>r<\/mi><mo separator=\"true\">,<\/mo><mtext>&nbsp;<\/mtext><mi>C<\/mi><mi>o<\/mi><mi>g<\/mi><mi>n<\/mi><mi>i<\/mi><mi>t<\/mi><mi>i<\/mi><mi>v<\/mi><mi>e<\/mi><mtext>&nbsp;<\/mtext><mi>O<\/mi><mi>p<\/mi><mi>t<\/mi><mi>i<\/mi><mi>m<\/mi><mi>i<\/mi><mi>z<\/mi><mi>a<\/mi><mi>t<\/mi><mi>i<\/mi><mi>o<\/mi><mi>n<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">Scientific\\ Output = f(Object\\ Rigor,\\ Cognitive\\ Optimization)<\/annotation><\/semantics><\/math>Scientific&nbsp;Output=f(Object&nbsp;Rigor,&nbsp;Cognitive&nbsp;Optimization)<\/p>\n\n\n\n<p>Where Cognitive Optimization is formally defined through measurable neural and computational parameters.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">3. Theoretical Framework<\/h1>\n\n\n\n<p>NeuroYoga 3.0 integrates five domains:<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">3.1 Predictive Processing &amp; Bayesian Brain<\/h2>\n\n\n\n<p>The brain operates as a hierarchical generative model minimizing free energy:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>F<\/mi><mo>\u2248<\/mo><mi mathvariant=\"normal\">\u03a0<\/mi><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><mo>\u2225<\/mo><mi>p<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">F \\approx \\Pi \\mathbb{E}[\\epsilon^2] + D_{KL}(q \\parallel p)<\/annotation><\/semantics><\/math>F\u2248\u03a0E[\u03f52]+DKL\u200b(q\u2225p)<\/p>\n\n\n\n<p>Where:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi mathvariant=\"normal\">\u03a0<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">\\Pi<\/annotation><\/semantics><\/math>\u03a0 = precision weighting<\/li>\n\n\n\n<li><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>\u03f5<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">\\epsilon<\/annotation><\/semantics><\/math>\u03f5 = prediction error<\/li>\n\n\n\n<li><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><msub><mi>D<\/mi><mrow><mi>K<\/mi><mi>L<\/mi><\/mrow><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">D_{KL}<\/annotation><\/semantics><\/math>DKL\u200b = model complexity<\/li>\n<\/ul>\n\n\n\n<p>NeuroYoga protocols aim to regulate maladaptive precision assignment and rigid priors.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">3.2 Neural Entropy &amp; Coherence<\/h2>\n\n\n\n<p>Neural entropy (Shannon \/ spectral entropy) quantifies system disorder:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>H<\/mi><mo>=<\/mo><mo>\u2212<\/mo><mo>\u2211<\/mo><msub><mi>p<\/mi><mi>i<\/mi><\/msub><mi>log<\/mi><mo>\u2061<\/mo><msub><mi>p<\/mi><mi>i<\/mi><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">H = &#8211; \\sum p_i \\log p_i<\/annotation><\/semantics><\/math>H=\u2212\u2211pi\u200blogpi\u200b<\/p>\n\n\n\n<p>High-coherence states correspond to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reduced maladaptive entropy<\/li>\n\n\n\n<li>Increased cross-network synchronization<\/li>\n\n\n\n<li>Stable attractor dynamics<\/li>\n<\/ul>\n\n\n\n<p>These states are investigated under controlled conditions.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">3.3 Plasticity\u2013Stability Regulation<\/h2>\n\n\n\n<p>Excessive plasticity risks instability.<br>Excessive rigidity impairs adaptation.<\/p>\n\n\n\n<p>The framework seeks an optimal balance:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>P<\/mi><mi>l<\/mi><mi>a<\/mi><mi>s<\/mi><mi>t<\/mi><mi>i<\/mi><mi>c<\/mi><mi>i<\/mi><mi>t<\/mi><msub><mi>y<\/mi><mrow><mi>o<\/mi><mi>p<\/mi><mi>t<\/mi><mi>i<\/mi><mi>m<\/mi><mi>a<\/mi><mi>l<\/mi><\/mrow><\/msub><mo>=<\/mo><mi>f<\/mi><mo stretchy=\"false\">(<\/mo><mi>E<\/mi><mi>x<\/mi><mi>c<\/mi><mi>i<\/mi><mi>t<\/mi><mi>a<\/mi><mi>t<\/mi><mi>i<\/mi><mi>o<\/mi><mi>n<\/mi><mo separator=\"true\">,<\/mo><mi>I<\/mi><mi>n<\/mi><mi>h<\/mi><mi>i<\/mi><mi>b<\/mi><mi>i<\/mi><mi>t<\/mi><mi>i<\/mi><mi>o<\/mi><mi>n<\/mi><mo separator=\"true\">,<\/mo><mi>N<\/mi><mi>e<\/mi><mi>t<\/mi><mi>w<\/mi><mi>o<\/mi><mi>r<\/mi><mi>k<\/mi><mtext>&nbsp;<\/mtext><mi>S<\/mi><mi>t<\/mi><mi>a<\/mi><mi>b<\/mi><mi>i<\/mi><mi>l<\/mi><mi>i<\/mi><mi>t<\/mi><mi>y<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">Plasticity_{optimal} = f(Excitation, Inhibition, Network\\ Stability)<\/annotation><\/semantics><\/math>Plasticityoptimal\u200b=f(Excitation,Inhibition,Network&nbsp;Stability)<\/p>\n\n\n\n<p>Measured via:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Functional connectivity<\/li>\n\n\n\n<li>Oscillatory coherence<\/li>\n\n\n\n<li>Variability metrics<\/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\">3.4 Stress &amp; Inflammation Coupling<\/h2>\n\n\n\n<p>Chronic stress alters predictive weighting and plasticity.<\/p>\n\n\n\n<p>Biomarkers monitored:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Cortisol<\/li>\n\n\n\n<li>IL-6<\/li>\n\n\n\n<li>TNF-\u03b1<\/li>\n\n\n\n<li>HRV<\/li>\n<\/ul>\n\n\n\n<p>Hypothesis: precision regulation reduces chronic stress amplification loops.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">3.5 Human\u2013AI Hybrid Inference Model<\/h2>\n\n\n\n<p>Human cognition provides:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Abstraction<\/li>\n\n\n\n<li>Hypothesis framing<\/li>\n\n\n\n<li>Variable prioritization<\/li>\n<\/ul>\n\n\n\n<p>AI systems provide:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>High-dimensional pattern detection<\/li>\n\n\n\n<li>Simulation<\/li>\n\n\n\n<li>Large-scale data mining<\/li>\n<\/ul>\n\n\n\n<p>Combined model:<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" display=\"block\"><semantics><mrow><mi>I<\/mi><mi>n<\/mi><mi>f<\/mi><mi>e<\/mi><mi>r<\/mi><mi>e<\/mi><mi>n<\/mi><mi>c<\/mi><msub><mi>e<\/mi><mrow><mi>h<\/mi><mi>y<\/mi><mi>b<\/mi><mi>r<\/mi><mi>i<\/mi><mi>d<\/mi><\/mrow><\/msub><mo>=<\/mo><mi>H<\/mi><mi>u<\/mi><mi>m<\/mi><mi>a<\/mi><msub><mi>n<\/mi><mrow><mi>c<\/mi><mi>o<\/mi><mi>n<\/mi><mi>c<\/mi><mi>e<\/mi><mi>p<\/mi><mi>t<\/mi><mi>u<\/mi><mi>a<\/mi><mi>l<\/mi><\/mrow><\/msub><mo>\u00d7<\/mo><mi>A<\/mi><msub><mi>I<\/mi><mrow><mi>c<\/mi><mi>o<\/mi><mi>m<\/mi><mi>p<\/mi><mi>u<\/mi><mi>t<\/mi><mi>a<\/mi><mi>t<\/mi><mi>i<\/mi><mi>o<\/mi><mi>n<\/mi><mi>a<\/mi><mi>l<\/mi><\/mrow><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">Inference_{hybrid} = Human_{conceptual} \\times AI_{computational}<\/annotation><\/semantics><\/math>Inferencehybrid\u200b=Humanconceptual\u200b\u00d7AIcomputational\u200b<\/p>\n\n\n\n<p>Objective: accelerate hypothesis refinement cycles without reducing methodological rigor.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">4. Operational Model<\/h1>\n\n\n\n<p>NeuroYoga 3.0 protocols are structured into three layers:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Layer 1 \u2014 Stability Regulation<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Autonomic calibration<\/li>\n\n\n\n<li>Noise reduction<\/li>\n\n\n\n<li>Baseline entropy control<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Layer 2 \u2014 Coherence Enhancement<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sustained attentional lock<\/li>\n\n\n\n<li>Reduced narrative interference<\/li>\n\n\n\n<li>Cross-network integration<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Layer 3 \u2014 Inferential Structuring<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Structured abstraction cycles<\/li>\n\n\n\n<li>Bias monitoring<\/li>\n\n\n\n<li>Precision recalibration<\/li>\n<\/ul>\n\n\n\n<p>All layers remain reversible and non-invasive.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">5. Research Methodology<\/h1>\n\n\n\n<h2 class=\"wp-block-heading\">5.1 Measurement Modalities<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>High-density EEG<\/li>\n\n\n\n<li>Spectral entropy analysis<\/li>\n\n\n\n<li>Functional connectivity mapping<\/li>\n\n\n\n<li>fMRI (optional collaborative nodes)<\/li>\n\n\n\n<li>HRV monitoring<\/li>\n\n\n\n<li>Inflammatory biomarker panels<\/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\">5.2 Experimental Design<\/h2>\n\n\n\n<p>Phase I \u2014 Observational baseline characterization<br>Phase II \u2014 Structured training pilot<br>Phase III \u2014 Controlled comparative study<br>Phase IV \u2014 Multi-site replication<\/p>\n\n\n\n<p>Primary endpoints:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Entropy reduction (non-pathological)<\/li>\n\n\n\n<li>Precision calibration metrics<\/li>\n\n\n\n<li>Improved cognitive performance tasks<\/li>\n\n\n\n<li>Reduced stress biomarkers<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">6. Risk Modeling &amp; Safety Boundaries<\/h1>\n\n\n\n<p>The framework explicitly models risk:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">6.1 Over-Synchronization Risk<\/h3>\n\n\n\n<p>Avoid epileptiform runaway coherence.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">6.2 Dissociation Risk<\/h3>\n\n\n\n<p>Maintain executive function monitoring.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">6.3 Over-Suppression of Precision<\/h3>\n\n\n\n<p>Prevent motivational flattening.<\/p>\n\n\n\n<p>Safety condition:<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><\/mrow><annotation encoding=\"application\/x-tex\">\\lambda_{max}(A) &lt; \\lambda_{critical}<\/annotation><\/semantics><\/math>\u03bbmax\u200b(A)&lt;\u03bbcritical\u200b<\/p>\n\n\n\n<p>Network stability must remain within bounded eigenvalue limits.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">7. Clinical Translation Potential<\/h1>\n\n\n\n<p>Exploratory applications:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Anxiety (hyperprecision recalibration)<\/li>\n\n\n\n<li>Trauma (rigid prior updating)<\/li>\n\n\n\n<li>Depression (reward precision restoration)<\/li>\n<\/ul>\n\n\n\n<p>Not positioned as standalone therapy, but as structured adjunct protocol pending validation.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">8. Institutional Collaboration Model<\/h1>\n\n\n\n<p>NeuroYoga 3.0 proposes consortium-based collaboration:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Computational modeling centers<\/li>\n\n\n\n<li>EEG laboratories<\/li>\n\n\n\n<li>Clinical psychiatry departments<\/li>\n\n\n\n<li>Systems biology institutes<\/li>\n<\/ul>\n\n\n\n<p>Data-sharing protocols:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Anonymized datasets<\/li>\n\n\n\n<li>Open modeling libraries<\/li>\n\n\n\n<li>Pre-registered trials<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">9. Ethical Governance<\/h1>\n\n\n\n<p>The framework prohibits:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Irreversible neural modification<\/li>\n\n\n\n<li>Genetic manipulation in healthy subjects<\/li>\n\n\n\n<li>Military deployment without oversight<\/li>\n\n\n\n<li>Non-consensual cognitive enhancement<\/li>\n<\/ul>\n\n\n\n<p>All research adheres to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>IRB standards<\/li>\n\n\n\n<li>Multi-site validation<\/li>\n\n\n\n<li>Transparent reporting<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">10. Strategic Relevance<\/h1>\n\n\n\n<p>In high-complexity environments, scientific performance depends on:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reduced cognitive noise<\/li>\n\n\n\n<li>Increased abstraction depth<\/li>\n\n\n\n<li>Rapid inferential refinement<\/li>\n\n\n\n<li>Bias minimization<\/li>\n<\/ul>\n\n\n\n<p>NeuroYoga 3.0 contributes to:<\/p>\n\n\n\n<p>Cognitive infrastructure development for advanced research ecosystems.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h1 class=\"wp-block-heading\">11. Conclusion<\/h1>\n\n\n\n<p>NeuroYoga 3.0 is not an ideology.<\/p>\n\n\n\n<p>It is a computationally formalized framework for studying and enhancing:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Attentional precision<\/li>\n\n\n\n<li>Predictive model calibration<\/li>\n\n\n\n<li>Cognitive coherence<\/li>\n\n\n\n<li>Human\u2013AI inferential collaboration<\/li>\n<\/ul>\n\n\n\n<p>All within scientifically measurable, ethically bounded parameters.<\/p>\n\n\n\n<p>Institutional collaboration is invited for:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Joint research development<\/li>\n\n\n\n<li>Multi-site validation<\/li>\n\n\n\n<li>Computational modeling expansion<\/li>\n\n\n\n<li>Translational pilot studies<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>NEUROYOGA 3.0 Technical White Paper for Institutional Collaboration 1. Executive Summary NeuroYoga 3.0 is a research-driven framework designed<\/p>\n","protected":false},"author":1,"featured_media":563,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22,10],"tags":[],"class_list":["post-700","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\/25-1.jpg","_links":{"self":[{"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/posts\/700","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=700"}],"version-history":[{"count":1,"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/posts\/700\/revisions"}],"predecessor-version":[{"id":701,"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/posts\/700\/revisions\/701"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/media\/563"}],"wp:attachment":[{"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/media?parent=700"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/categories?post=700"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/globalsolidarity.live\/maitreyamusic\/wp-json\/wp\/v2\/tags?post=700"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}