In an innovative leap that blurs the boundaries between biology and technology, a Melbourne-based start-up, Cortical Labs, has embarked on a groundbreaking experiment by fusing human neurons with video gameplay, notably the iconic 1993 video game Doom. This venture not only adds an intriguing chapter to the “Can it run Doom?” narrative but also pushes the envelope in understanding neural adaptability and the potential for interfacing biological systems with digital environments.
Cortical Labs, utilizing a sophisticated assembly of 200,000 human neurons cultured on a multi-electrode array, has achieved a remarkable feat. Through electrical stimulation and advanced software controls, these neurons are not just passive players but active participants, navigating and engaging in the game, albeit with the proficiency of novices. This initiative, while echoing the endless experiments of running Doom on nearly every conceivable platform, from blockchain networks to pregnancy tests, signifies a monumental stride towards harnessing the inherent capabilities of human neurons outside the organic confines of the brain.
The company’s journey towards this achievement began with an initial experiment involving the arcade classic Pong, setting the stage for tackling the more complex challenge presented by Doom. By translating gameplay mechanics into electrical stimuli, the researchers have crafted an interface through which neurons can interact with, and respond to, the virtual environment. This interaction is facilitated by a platform built from scratch, affording researchers the ability to manipulate this system through high-level controls and straightforward Python commands. The advancements in this specialized platform have significantly accelerated development, slashing the time required to implement Doom from an arduous 18 months to a mere few days.
At its core, this experiment is a foray into the learning capabilities of neurons outside the human body. By employing a system of rewards, the neurons are encouraged to adapt their responses, a process further refined through the application of artificial intelligence to optimize the encoding of game information into neural stimuli. Although these cells show signs of learning and adapting, it’s crucial to note they do not perceive or understand the game in human terms. They are responding to inputs without awareness, illustrating the stark differences between biological responses and cognitive recognition.
Alon Loeffler, an application scientist at Cortical Labs, underscores the distinction between programming conventional computing systems and working with living neurons. It demands a shift in mentality, viewing these biological components not just as another medium for computational tasks but as entities with the inherent ability to learn and adapt.
While the application in gaming is a captivating demonstration of this technology, the broader implications extend far beyond entertainment. This experiment offers a glimpse into the future possibilities of integrating biological and digital systems, with potential applications in computing, medicine, and understanding neural networks. However, despite the neurons’ human origin, Loeffler clarifies that their functioning in this setup does not equate to human cognition or consciousness. The structure and environment lack the complexity necessary for higher-order brain functions, emphasizing that this system is fundamentally distinct from a human brain.
As Cortical Labs continues to explore the adaptability and potential of neurons in novel environments, their work not only contributes to the ongoing fascination with running Doom on unconventional platforms but also opens new avenues for research into the capabilities and versatility of human neurons. This intersection of biology and technology heralds a new era of innovation, with the humble neuron standing at the forefront of this exciting frontier.