Consciousness

Consciousness Oriented Programming - COP

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Keywords: TFTT

• Theory:

Information Density, Statistical-Field theoretic, DNA, Neuron, Chaos, Algebraic Topology etc.

• Framework:

GRAPH, Probabilistic Graphical Model (PGM), Networks

• Techniques:

Simulation, Evolutionary programming, Machine Learning and Deep Learning (Optimization)

• Tool:

GPU computing (C/C++/CUDA), Quantum Computing (QC)

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1. Theoretical Model

• Deep Neural Network (DNN)
• Convolutional Neural Network (CNN)
• Recurrent Neural Network (RNN)
• Deep Belief Network (DBN)
• Restricted Boltzman Machine(RBM)

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1.1 Fundamental Networks

• Feedforward excitation
• Feed Forward inhibition
• Convergence/Divergence
• Lateral inhibition
• Feedback/Recurrent inhibition
• Feedback recurrent excitation

Figure source

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2. Computational Model of Kindalini

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2.1 Neuro transmitters

2.1.1 Classical neurotransmitters:

These are ones which have wide distribution in the body and have a larger role in physiology. Any small change in their quantities or functions will lead to disorders. These classical neurotransmitters include

Acetyl choline
Noradrenalin (Nor-epinephrine)
Adrenalin (Epinephrine)
Serotonin (5HT)
Gluatamate
GABA (gamma amino benzoic acid)
Histamine

2.1.2 Other neurotransmitters:

These are less widely distributed and also few functions in the body. Also minute changes in their quantities will not affect or lead to major disorders.

Aspartate.
Nitric oxide.
Carbon-monoxide
Adenosine triphosphate.
Substance-P
beta endorphin
enkephalin
somatostatin
vasopressin
prolactin
angiotensin II
oxytocin
gastrin
cholecystokinin
thyrotropin
neuropeptide-Y
insulin
glucagon
calcitonin
neurotensin
bradykinin.

Go to Nature Inspired Computing

References

1. ConsciousX references
2. http://nba.uth.tmc.edu/neuroscience/s1/introduction.html
3. https://arxiv.org/pdf/1108.2865.pdf
4. http://www.studyread.com/list-of-neurotransmitters
5. Review summary
6. Chakras

Other references:

1. Physiscal constants in geometry