Opti Train, Calm and Confidence Maps

Opti Train

The Opti Train brain pattern is produced when all your Levels of Thought are producing the same pattern of colors on a brain map, or in other words when all your Levels of Thought are balanced.

Below are examples of maps that have high synergy values. The Opti Train Index does not use gamma or delta levels of thought in its calculation, so we will be looking at example maps containing theta, alpha, beta 1 and beta 2. When the colors on these four maps look alike they are in balance. It is of course impossible to train the levels of thought to be exactly the same, so the Opti Index will never be 100%.  High Opti Index values tend to be in the 80%’s.

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The above images show the levels of thought of a brain collection and the Opti Train map of the same collection. As you can see the levels of thought are not exactly the same but have a very a similar pattern. This translates to high Opti Index values.

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Here is another example of a similar brain pattern throughout the levels of thought that produces high Opti Index values in the Opti Train map.

Opti Calm

Opti Calm is simply a measure of low brain activity (efficiency). The quieter your thoughts and brain activity, the higher your Opti Index values. Below is an example of brain maps with very low activity throughout the levels of thought and high Opti Calm Index values on the map. Again, an Opti Calm Index of 100% is zero brain activity so it is impossible to achieve this number. High Opti Calm Index values are in the 80%’s.

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Opti Confidence

Opti Confidence is a combination of both the Opti Train algorithm and the Opti Calm algorithm. So Opti Confidence Index levels are high when the levels of thought maps are both balanced and have low activity. Below is an example of brain maps that contains high Opti Confidence Index values.

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Poor Opti Train, Calm and Confidence Example

Below are two examples of maps that contain low Opti Index values.

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The above example has low brain activation (meaning a pretty good Opti Calm Index) but does not have balance in the levels of thought (meaning a low Opti Train Index).

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The next above example has high activation (low Opti Calm Index) and low balance (low Opti Train Index). You can see there are red areas that stand out in two of the maps in the levels of thought. These two areas negatively affect the Opti Indexes in similar areas in the Train, Calm and Confidence maps.