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. 2011 Oct 20;7(10):e1002221. doi: 10.1371/journal.pcbi.1002221

Figure 1. Hierarchical neural network consisting of three levels characterized by time constants of the neural activation dynamics.

Figure 1

The higher-level, middle-level, and lower-level networks consist of neural units in which the activations are characterized by large (Inline graphic), moderate (Inline graphic), and small (Inline graphic) time constants, respectively. The visuo-proprioceptive input Inline graphic for each time Inline graphic reaches the middle- and lower-level networks, and the middle level relays the input to the higher level. The lower-level network contains a set of modular networks generating motor commands, which, in turn, are forwarded to the gate. The gate, which prevents undesired motor commands from being released, is controlled by the middle-level network. Since the supplementary motor area (SMA) has been reported to trigger the movement by suppressing the inhibitory signal exerted on the primary motor cortex [61], the middle-level and lower-level networks may correspond to the SMA and the primary motor cortex, respectively. The higher-level network may correspond to the prefrontal cortex (PFC), which projects to the SMA [62].