Finding out more about how the brain works could help programmers translate thinking from the wet and squishy world of biology into all-new forms of machine learning in the digital world.
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Articles on Computational neuroscience
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Artificial intelligence research owes a lot to biology and chemistry.
Computers today are fast and powerful but they still can’t think like a human when it comes to some tasks we find easy. That’s why tech companies are turning to neuroscience for help.
There’s both money and prestige invested in the simple idea that different brain areas are responsible for certain functions. But that doesn’t make it true.
The endeavor assumes that computers could manage billions of billions of cerebral connections. Alas, that’s not happening anytime soon.
Top contributors
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Professor of Neuroscience and Mathematics, The University of Queensland
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Directeur de Recherche en neurosciences computationelles, Inria
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Senior Lecturer in Neuroscience, Lund University
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Professor of Bioengineering and Neurosciences | Founding Director, Center for Engineered Natural Intelligence | Associate Director, Kavli Institute for Brain and Mind, University of California, San Diego
