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. Author manuscript; available in PMC: 2009 Aug 5.
Published in final edited form as: Cogn Sci. 2009;33(4):547–582. doi: 10.1111/j.1551-6709.2009.01023.x

Figure 1.

Figure 1

Simple Recurrent Network. Each layer is composed of one or more units. Information flows from input to hidden to output layers. In addition, at every time step t, the hidden unit layer receives input from the context layer, which stores the hidden unit activations from time t-1.