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Plasiticity and Learning (9 Organization Principles of Cortical Circuits…
Plasiticity and Learning
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10 Cost, Efficiency, and Economy of Brain Networks
Cost
Wiring cost
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allometric scaling law
white matter volume growing faster than gray matter volume as brain size increases
spatially close neurons tend to be densely and mutually interconnected, conserving wiring cost
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Running cost
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cause evolutional pressure to increases energy efficiency, neuronal coding strategy that minimize energy use with action potentials, and sparse coding
Efficiency
efficient network allows pairs of network elements to interact along relatively short or direct communication paths
small-world attributes
nodes are more likely to link with the neighboring nodes while having short path length to any nodes
network modules and hubs
each module corresponds to a set of densely interconnected nodes while connections bw modules are sparse
dense connections within modules and weak interconnections bw then for a structural basis for functional specialization
network hubs
specific subset of nodes dedicates to communication paths bw modules; act as points of convergence and divergence for intermodular signal
Economy
Pareto optimality
the construction or operation of a given system simultaneously satisfies multiple objectives
biological fitness or optimal design are derived from trade-off bw cost minimization and efficiency maximization
12 Mudularity, Plasticity, and Development of Brain Function
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main idea
fitness is related to modularity of the brain, with highest fitness for low modularity in children, high modularity in young adult, decreased mudularity for elderly