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- W2185389984 abstract "In recent years, half a dozen major research groups have simulated or constructed sizeable networks of artificial neurons, with the ultimate goal to emulate the entire human brain. At this point, these projects are a long way from that goal: they typically simulate thousands of mammalian neurons, versus tens of billions in the human cortex, with less dense connectivity as well as lesscomplex neurons. While the outputs of the simulations demonstrate some features of biological neural networks, it is not clear how exact the artificial neurons and networks need to be to invoke system behavior identical to biological networks and it is not even clear how to prove that artificial neural network behavior is identical in any way to biological behavior. However, enough progress has been made to draw some conclusions and make comparisons between the leading projects. Some approaches are more scalable, some are more practical with current technologies, and some are more accurate in their emulation of biological neurons. In this paper, we examine the pros and cons of each approach and make some predictions about the future of artificial neural networks and the prospects for whole brain emulation." @default.
- W2185389984 created "2016-06-24" @default.
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- W2185389984 date "2012-01-01" @default.
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- W2185389984 title "Challenges for Brain Emulation: Why is it so Difficult?" @default.
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