Achieving a full model of the human brain would require a combination of advances in multiple fields, 
including neuroscience, biology, and computer science.

One promising approach is the development of neuromorphic computing, which is a type of computer architecture that is designed to 
simulate the structure and function of biological neural networks. 

Neuromorphic computing systems use hardware that mimics the behavior of neurons, synapses, and other biological 
structures, and can potentially provide a more biologically realistic model of the brain than traditional neural networks.

Other areas of research that could contribute to modeling the human brain include advances in artificial intelligence, machine learning, and robotics. 
By combining insights from these fields, researchers may eventually be able to develop a more comprehensive and accurate model of the brain. 

However, it is important to note that achieving this goal is likely to be a long-term, interdisciplinary effort that will require 
significant resources and collaboration across multiple scientific domains.
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