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Less is more: The efficient brain structural and dynamic organization

The human brain conducts high-capacity computations, but only requires a very low energy power of about 20 W, which is much lower than that of electronic computers. The neuronal connections in the brain network have a globally sparse but locally compact modular topological characteristics, which greatly reduces the total resource consumption for establishing the connections. The spikes of each neuron in the brain are sparse and irregular, and the clustered firing of the neuronal populations has a certain degree of synchronization, forming neural avalanches with scale-free characteristics, and the network can sensitively respond to external stimuli. However, it is still not clear how the brain structure and dynamic properties can self-organize to achieve their co-optimization in cost efficiency. Read More

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