Neurological diseases, such as Alzheimer Disease, are widely blamed on the accumulation of toxic proteins. However, all attempts to intervene at the level of the protein have failed. Emerging tools and computational approaches are opening a door to considering diseases through the novel lens of complex systems - already, these methods are gathering significant explanatory power. We will discuss computation in large networks of neurons, and machine learning tools for decoding the underlying state of the brain. Additionally, we will discuss neuromorphic engineering and how some of these neuroscience insights could be translated into silicon chips.
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