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A commentary in The Transmitter argues that AI papers drawing on neuroscience have grown in number, even as they remain a small share of AI research. Its author also says today’s AI has mostly borrowed broad ideas from neuroscience rather than specific findings about how neural mechanisms work.
Why it mattersThat leaves researchers with a choice: keep looking for ways neuroscience can shape AI, or use AI to tackle questions about the brain. The citation trend is a useful prompt for that debate, not proof of what has driven AI’s progress. The commentary suggests the relationship may need fresh results and tools to move forward. Where should researchers put their effort next?
Discuss: Should researchers focus on bringing more detailed neuroscience into AI, or use AI to make progress on understanding the brain?
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