Meditation=Vector----->Scalar//Multiplicity--->Duality----->Unity
Wednesday, 31 January 2018
Upanishads/Holographic principle
Manifestation/Projection(vyakrta)---->Unmanifest(avyakrta)-Upanishads/Holographic Principle
3D (vector) projection of 2D information(vector)---->1D (scalar)energy distribution at equilibrium-Energy conserved as information-Ist law of thermodynamics
3D (vector) projection of 2D information(vector)---->1D (scalar)energy distribution at equilibrium-Energy conserved as information-Ist law of thermodynamics
Scalar/Vector
Scalar-free energy +decrease in free entropy=Vector +increase in entropy
Scalar-entropy=Vector
Scalar-entropy=Vector
Saturday, 27 January 2018
Coarse graining
During coarse graining, by decreasing scalar information, skewing inference towards vectorial information.
Emergent Complexity-Scalar versus Vector
Scalar without direction, Vector with direction as determined by change in free energy of the reaction.
DeltaG=DeltaH-T.DeltaS. A non spontaneous reaction has a positive delta G and negative deltaG for a spontaneous reaction . DeltaG =Gibbs free energy.
Greater degree of vectorization/directionality=Greater negative deltaG.
Greater degree of vectorization=Greater organized emergent Complexity.
When degree of vectorization reaches critical point, Markov blanket is created, next layer of emergence, develops.
Phase transition occurs when degree of vectorization falls below critical point markov blanket dissolves and continuity prevails over discrete. deltaG increases in this case.
E.g. in epithelial to mesenchymal phase transition in cancer, an intermediate stem-like state occurs where degree of vectorization falls below critical point, markov blanket between the epithelial layer of emergence and mesenchymal layer of emergence dissolves, an incease in scalarity occurs.
Pluripotent stem cell--->Scalarity is > Vectoral properties. As vectorial properties increase pluripotent stem cell differentiates.
Signaling networks can promote scalar properties-dedifferentiation, or vector properties where differentiation occurs .
Tumor suppressors tilt cellular homeostasis to vectorial nature while oncogenes tilts cellular homeostasis to scalar nature.
Homeostasis = Balance between scalar promoting signaling networks and vector promoting signaling networks where overall differentiated cellular state tilts towards vectorial properties.
Cancer comprises of de-differentiated cells where cellular homeostatic balance is lost and cellular states favour signaling networks whose outcome is scalar. Emergent vectorial complexity i.e. tissue organization is lost with gain in emergent scalar complexity.
DeltaG=DeltaH-T.DeltaS. A non spontaneous reaction has a positive delta G and negative deltaG for a spontaneous reaction . DeltaG =Gibbs free energy.
Greater degree of vectorization/directionality=Greater negative deltaG.
Greater degree of vectorization=Greater organized emergent Complexity.
When degree of vectorization reaches critical point, Markov blanket is created, next layer of emergence, develops.
Phase transition occurs when degree of vectorization falls below critical point markov blanket dissolves and continuity prevails over discrete. deltaG increases in this case.
E.g. in epithelial to mesenchymal phase transition in cancer, an intermediate stem-like state occurs where degree of vectorization falls below critical point, markov blanket between the epithelial layer of emergence and mesenchymal layer of emergence dissolves, an incease in scalarity occurs.
Pluripotent stem cell--->Scalarity is > Vectoral properties. As vectorial properties increase pluripotent stem cell differentiates.
Signaling networks can promote scalar properties-dedifferentiation, or vector properties where differentiation occurs .
Tumor suppressors tilt cellular homeostasis to vectorial nature while oncogenes tilts cellular homeostasis to scalar nature.
Homeostasis = Balance between scalar promoting signaling networks and vector promoting signaling networks where overall differentiated cellular state tilts towards vectorial properties.
Cancer comprises of de-differentiated cells where cellular homeostatic balance is lost and cellular states favour signaling networks whose outcome is scalar. Emergent vectorial complexity i.e. tissue organization is lost with gain in emergent scalar complexity.
Tuesday, 23 January 2018
Dissolution of Markov Blankets
Can Markov Blankets be dissolved ? From the discrete to the continuous on a spectrum.
Can dissolution of Markov blankets cause disease by destroying distinct pathogen host boundaries?
Is the key to cellular homeostasis-maintaining a markov blanket between opposing signaling pathways ?
Is non duality a result of dissolved markov blankets ?
Is the experience of a discrete self emergent from maintenance of markov blankets in continuous neuronal circuits ?
Can dissolution of Markov blankets cause disease by destroying distinct pathogen host boundaries?
Is the key to cellular homeostasis-maintaining a markov blanket between opposing signaling pathways ?
Is non duality a result of dissolved markov blankets ?
Is the experience of a discrete self emergent from maintenance of markov blankets in continuous neuronal circuits ?
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