Initially, the research focused on understanding language in the brain, but it became clear that language operates similarly to other cognitive processes. Thus, the goal expanded to defining a general explanation of how the brain works. The theory defines the brain’s function as a structured process with distinct stages, each corresponding to specific neural circuits.

Fundamentally, the brain’s role is to generate external movements while also regulating internal physiological responses, such as heart rate and digestion. The key scientific insight of this theory is that every stage of brain processing can be mapped to particular anatomical and molecular subsets. The process begins when sensory input reaches the brain. Neurons responsible for detecting relevant signals activate, while others remain suppressed until needed. These neurons compete to determine the most appropriate response.

The theory describes how inhibitory neurons play a central role in this competition. Traditionally thought to merely suppress activity, the author argues that inhibitory neurons mediate competition between candidate responses. Once a response is selected, the inhibitory neurons help maintain the chosen response while ensuring others remain suppressed. This mechanism allows for efficient decision-making and movement execution.

After selecting the response, the brain transitions to a different subset of neurons responsible for implementation. These neurons drive spinal cord circuits, ultimately causing muscles to move. Beyond basic movement, the theory incorporates the influence of neuromodulatory molecules such as dopamine, serotonin, and acetylcholine. Each plays a role in different phases of processing, ensuring appropriate signal modulation.

The novel contributions of this theory include defining the brain’s function as a multi-stage process and explicitly mapping each stage to neural structures. Although individual components of this theory are known in neuroscience, the claim that this framework **fully** explains brain function is new. Furthermore, the six or seven stages defined by the author are presented as a unified model, rather than independent mechanisms.

The theory also addresses brain plasticity, the ability of neural networks to adapt over time. By layering known neurobiological mechanisms onto the structured stages of processing, it provides a coherent explanation for how the brain learns and reorganizes itself. This structured perspective could be highly valuable in fields like artificial intelligence, cognitive science, and medicine.

Ultimately, the author believes this theory should be widely taught to first-year biology and computer science students. Understanding how the brain operates is fundamental not just to neuroscience, but to broader fields of human knowledge.