Brain Age needs no introduction for many. The mode used and the most abusable one by far is the calculations x20/x100 mode. The aim of this resources page is to be an assistance in making Brain Age your personal image editing tool.

For the purpose of keeping this page short, the term "optical character recognition" , which Brain Age uses to transform inputs to answers, will be simply nicknamed 'recon' in the rest of this page.

The most basic concepts to grasp are how Brain Age recons input and transforms it into answers. There are four basic concepts:and

The concept of ais a line drawn without interrupting input (lifting the stylus). Each segment has a start and an end: your initial input, and your last input without lifting the pen. As such, in normal play, a segment would be a line drawn without interruption.

Every single input of your segment is a. The start and end of your segment are special kinds of keypoints: they are. These keypoints and edges assemble to create what is called a, which is then assigned a specific number based on the model and given an answer.

To the right is an example of the simplest model in the game: the 1. The 1 is made with a straight line, with edges being positioned at the start and the end of the segment. Note that edges from different segment do not go togheter to make a model.

Note that every single model has two edges. A model, no matter what, cannot be made with only one edge: this is the reason the out of bounds drawing glitch exists. The full list of models is here (see the pictures.)

How does Brain Age define which model it recons is first based on the position of your current edges. From two edges, it will then try to assemble a model based on the most convenient set of keypoints it can find. If multiple ways to assemble a model are found, Brain Age will prioritize:

Bias (single digit only, see section 'Bias')The biggest model it can find within the allocated edge placementIf there are multiple segments that generate models with about the same size, the models with the last drawn segments are prioritized {to investigate..}

No matter how long is your segment, or how skewed it is, Brain Age will always try to find a model given these set conditions.

If you have multiple segments and if too many models from different segments overlap, Brain Age will simply refuse the whole answer and give an '?'.