Advances in Biocomputation and Goal-Directed Learning

Human Brain Cells Learn to Play Classic Game Doom

Australian startup Cortical Labs demonstrates goal-directed learning in biological tissue using 200,000 neurons.

By Avantgarde News Desk··1 min read
A close-up of a microelectrode array holding lab-grown human neurons in a petri dish, positioned in front of a computer screen displaying a classic video game.

A close-up of a microelectrode array holding lab-grown human neurons in a petri dish, positioned in front of a computer screen displaying a classic video game.

Photo: Avantgarde News

Scientists at Australian startup Cortical Labs have successfully trained a biological computer to play the 1993 shooter game Doom [1]. This system consists of approximately 200,000 lab-grown human brain cells, or neurons, integrated into a digital interface [2]. The research demonstrates that biological tissue can achieve goal-directed learning in a controlled environment [1][3]. The neurons interact with the game by receiving electrical feedback based on their performance [2]. When the cells successfully hit a target, they receive a structured signal, whereas failure results in random noise [3]. This "DishBrain" technology highlights the potential for biocomputation to eventually outperform traditional silicon-based chips in specific tasks [1]. Researchers aim to use these biological computers to study neurological disorders and drug responses [2]. While the technology is in its early stages, it marks a significant step in developing more efficient and adaptive computing systems [3].

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Drafted with LLM; human-edited

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About the author

Avantgarde News Desk covers advances in biocomputation and goal-directed learning and editorial analysis for Avantgarde News.