A research team successfully programmed neuron-based computer chips to play 'Doom', demonstrating advancements in brain-computer interfaces and ease of use with Python.
In an intriguing advancement in brain-computer interface technology, the Australian company Cortical Labs has developed a system that allows neuron-based computer chips to play video games. These chips, which are composed of over 800,000 live brain cell clusters grown on microelectrode arrays, were previously used to play the game 'Pong'. The new interface created by Cortical Labs simplifies the programming process using the Python programming language, facilitating quicker and more accessible experimentation with biological systems.
Developer Seanas Cole managed to teach the chips to play 'Doom' in just about a week, unlike the yearlong rigorous scientific effort that went into programming them for 'Pong'. Brett Kagan from Cortical Labs explained that the recent achievement exemplifies the accessibility and flexibility of their new interface, making it possible for individuals with limited biological experience to engage in similar projects. This shift not only highlights advancements in neural technology but also opens doors for more widespread use and experimentation in the field.
The implications of such technology are vast, possibly impacting areas such as neuroprosthetics, artificial intelligence, and even game development. As researchers continue to unlock the potential of biological neural networks, this marks a significant step in merging biological and computational systems, which could lead to innovative applications and new understanding in neuroscience.
