9 hours ago
https://www.eurekalert.org/news-releases/1142247
EXCERPTS: Researchers from the University of Warwick report that how faithfully we can build a 'digital twin' of a human brain depends not only on computing power, but fundamentally on how much of the living brain we can measure, validate and update over time.
A digital twin brain is not just a detailed simulation. It is a model, built from data taken from one specific person's brain, and kept updated as new measurements come in; a living individualised digital copy of your brain.
Now, a major review led by Warwick Manufacturing Group (WMG) researcher Dr Ruohan Zhang, published in Nature Reviews Electrical Engineering, tackles one of the biggest questions in biology: how close are we to actually building a digital twin of a living human brain?
[...] “The long-term potential of digital twins is not to build larger computational models, but models that are meaningfully connected to individuals and can help us understand how biological systems change over time,” concludes Dr Ruohan Zhang. “If developed responsibly, digital twin brains could become a shared technological and scientific infrastructure spanning healthcare, neuroscience and brain-inspired artificial intelligence.” (MORE - missing details, no ads)
EXCERPTS: Researchers from the University of Warwick report that how faithfully we can build a 'digital twin' of a human brain depends not only on computing power, but fundamentally on how much of the living brain we can measure, validate and update over time.
A digital twin brain is not just a detailed simulation. It is a model, built from data taken from one specific person's brain, and kept updated as new measurements come in; a living individualised digital copy of your brain.
Now, a major review led by Warwick Manufacturing Group (WMG) researcher Dr Ruohan Zhang, published in Nature Reviews Electrical Engineering, tackles one of the biggest questions in biology: how close are we to actually building a digital twin of a living human brain?
[...] “The long-term potential of digital twins is not to build larger computational models, but models that are meaningfully connected to individuals and can help us understand how biological systems change over time,” concludes Dr Ruohan Zhang. “If developed responsibly, digital twin brains could become a shared technological and scientific infrastructure spanning healthcare, neuroscience and brain-inspired artificial intelligence.” (MORE - missing details, no ads)