[DoYouKnow]

It's amazing that even the most basic things are still unknown when it comes to the mind. For example, it's unknown how the brain reactivates distant brain regions in response to a memory. I think it is similar to a computer, where there is routing, decryption, and checksums to ensure data direction and integrity. But there is also a more fluid and plastic aspect that is not like a computer. For example, synaptic plasticity, where connections are strengthened on a gradual scale between neurons, and there is of course the fact that the brain is mostly water. See my paper on the neuroscience form about how discrete chunks in the brain are bound over time. The following will describe how they are bound over space.

The basic idea of the Cognitive transformation, is that you're taking coordinates (r_1, r_2) to the set {r_1,r_2}


1. Let the elements of a set S = {r_1,r_2} exist completely independently of each other.
2. Impose a metric, ds^2 = x^2 + y^2
3. Define a guassian probability function on these points

4. Describe a potential (epsilon*x,epsilon*y) initiating a breakdown of the continuum that it's modeled on. On this continuum, the breakdown "voltage" is epsilon. (this describes the first step in a two step process of two neurons being unified downstream) It removes positiveness and negativeness on this space (no orientation).

Since this function removes observer-dependent bias on a continuum, I believe it is important in Artificial Intelligence and finding sounds that alter your state of consciousness.

[Sentient marine]

Posted by DoYouKnow 1. Let the elements of a set S = {r_1,r_2} exist completely independently of each other. 2. Impose a metric, ds^2 = x^2 + y^2 3. Define a guassian probability function on these points

Hello DoYouKnow would this be like a tangent at any given point of a circle?

Or since my math is not much beyond when I left school at 17 a description of directions from all points within as well?
It certainly looks like it could hold positions near opposite to allow discussion and yet take it a vast array of similarities to the point of unity. Could you describe the shape the way you see it please.

I am assuming since the derivative is to a power that it is three dimensional much like the space metric. So co-ordinates could describe basically any starting point in the structure.