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. 2007 Jan 8;362(1479):355–367. doi: 10.1098/rstb.2006.1963

Figure 4.

Figure 4

Recurrent neural network used to model call recognition in túngara frogs. The network has a recurrent loop between the feature detector and context layers that allows the detection of time-varying stimuli. The stimulus is a matrix of Fourier transform coefficients from a túngara call presented to the input layer one time interval per step. From Phelps & Ryan (1998).