Predict
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Predict

Brain Science: Theory of Intelligence for Mental Health | Human | Artificial

Cell-to-cell Communication via NIH

There is no existing theory of intelligence that explains mental health. This simply implies that all the theories of human intelligence are either inaccurate or incomplete.

The theories used to build artificial intelligence made a one-way thing that makes what should be smarter vehicles go [dull] robotic in several situations.

Why do humans know language? Why can humans read and write? What makes humans able to think, imagine, and place things? What structures how humans know?

There is no difference between these questions and asking why humans can move their hands in a certain way, or walk forward or backward in a certain way, or chew or drink in a certain way.

There is an enabling in memory, where intelligence is based, that makes those possible. If it can be done, it is enabled by memory, if not, then it isn’t.

There are situations where what is enabled by memory is changed, from use, or in part referred to as neuroplasticity, but there is a basic enabling in memory.

Crying is possible in babies and adults, because it is enabled by memory. Learning to read and write is possible from childhood because it is enabled by memory.

It is the setup of memory and its rules that determine what is possible. So, a theory of intelligence that explains the constants of memory would easily explain mental health, addiction, substance abuse, learning and so forth.

Happiness, delight, calm, fear, laughter, craving, and so on are possible because memory enables them, just as it does for intelligence in humans.

How does the memory work, for whatever is enabled?

Moreover, how can this memory be useful artificially, for some purposes of necessity towards improvement?

If a vehicle had its own fear emotion, by an excellent multidimensional memory that understands risks and consequences, it could do better against scenarios that may lead to crumpling or crashes, to save itself in what would benefit the occupants, bystanders and environment.

The memory is a location of properties.

Whatever is enabled in memory are properties, where quantities relay to acquire.

This is the theory of memory that applies to intelligence, mental health, addiction and consciousness.

There are two kinds of quantities in memory, prioritized and pre-prioritized. Just one is prioritized in any moment, having full access to sides, locations and sequences. However, there are often numerous interchanges between prioritized and pre-prioritized.

Most situations where it seems like something else is done, without much thought and another thing is on the mind, are prioritized and pre-prioritized quantities interchanging enough to allow the process to go on, without many lapses.

However, just one quantity is most active in memory at any moment.

Quantities are thoughts or their form. Memory is properties, which are stores and sequences.

Stores can be large or small.

Though most quantities are large stores, where common or similar information between small stores is collected.

Small stores carry unique information on anything.

There are transient small stores and resident small stores. Transient small stores carry the quantities to large stores, in sequences and sometimes to resident small stores. Transient small stores also split early for expectation or anticipation, beyond predictive coding and processing.

Thoughts, conceptually, emerge as the uniform unit, identity or quantity of sensory processing or integration in the thalamus and olfactory bulb.

Thought becomes the version, representations or equivalents of senses that get relayed to the cerebral cortex for interpretation.

Interpretation is postulated to be knowing, feeling and reaction. Interpretation is a property acquisition process dominated by memory.

Memory is where properties to enable intelligence are found.

Cells and molecules of the brain build or construct quantities and properties for experiential interactions with the world.

Fear is not decided by neurons but by their build or construct. What should cause fear does not happen from the same thing all the time, and anything can also cause fear, making it a construct process, of quantities and properties per moment than by neural networks.

It is neurons as ‘intelligence’ for AI that makes it unable to know fear, because fear is not neurons.

Anything external is converted to quantities [thoughts] that relay to acquire properties [memory].

It is memory or properties that makes humans write, read, know language, have fear, mental health or ill-health, consciousness, feelings, and so on.

The brain should not be understood for intelligence differently from how it is understood for mental health, consciousness, emotions, addiction, neuroplasticity, neurodegeneration and so on.

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modeling the structure of mind in the brain — for mental health, addictions, consciousness and emotional AI. seeking VCs/angel invstrs: stevid at zoho dot com