Computational Modeling, Neuroscience, and Visual Algorithm

Abstract

Nydia J Gutierrez

Computational Modeling and Visual Algorithm allows for the creation of a Visual cognitive diagram that explains areas of the brain they represent to spatial abstraction and mental calculation. For example, the temporal lobe is associated with memory and the occipital lobe is associated with vision. The cerebral cortex is where decision- making, thinking, and information process takes place. Moreover, in the frontal lobe is where decision making, takes place and the parietal lobe influences areas of the brain that correlate to spatial calculation and mind mapping. This is created in a diagram that expresses each area like a visual algorithm. A visual algorithm is created in different scales that are associated with numerical numbers and the frontal lobe sub division [1]. The creation of this visual algorithm explains the nodes and the functioning of the levels of the brain and neuroscience. The connection and the functions of the brain control our learning, motor content, and mayor nerve connections. The visual algorithm present an abstract and perception pattern to look at thinks. It connects with the nodes that affect our cognitive human perception factor. The lobes of the brain resemble this area and provide an in-depth understanding to what a cognitive hierarchy is. The lobes are important factor to the perception of thinking, learning, and memory. Each one with a significant function to learning and neuroscience [2]

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