My journey into computation is powered by dreams of simulating the biological underpinnings of the greatest computational device in history: the human brain. Wiring a sensor to an actuator is simple enough to perform in robotics, so why not investigate a similar relationship to the sensor in our skulls?

I have a certain and deep interest in both neuroscience and computation, and my desire to interweave these interests is reflected in my choice of study. On a broader overview, I set my aspirations in neuroprosthetics, being lost in a world of transhumans and exoskeletons as a child. That methodology of continuously seeking to improve, or augment myself such that I am able to access more of the 'big picture' continues today.

Bridging the gap between biology and machines requires an intimate understanding of the half that humanity hasn't directly created. The pursuit of a sufficiently powerful, low-energy, low-cost AI algorithm was perfected thousands of years ago by the human brain. Our primary objective today is to encapsulate the entirety of that structure within a simulation, with an objective to improve it towards ever-more powerful AI, or eventually machine sentience. To that end, I seek to initiate alongside thousands of peers worldwide, the initial process of comparison between neural computation and our closest guess at it: neural networks.