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. Author manuscript; available in PMC: 2010 Aug 27.
Published in final edited form as: Neuron. 2009 Aug 27;63(4):544–557. doi: 10.1016/j.neuron.2009.07.018

Figure 7.

Figure 7

Multiple pattern generation and 4-Bit memory through learning in the generator network. A) Network with control inputs used to produce multiple output patterns (synapses and readout weights that are modifiable in red). B) Five outputs (1 cycle of each periodic function made from 3 sinusoids is shown) generated by a single network and selected by static control inputs. C) A network with 4 outputs and 8 inputs used to produce a 4-bit memory (modifiable synapses and readout weights in red). D) Red traces are the 4 outputs, with green traces showing their target values. Purple traces show the 8 inputs, divided into ON and OFF pairs associated with the output trace above them. The upper input in each pair turns the corresponding output on (sets it to +1). The lower input of each pair turns the output off (sets it to -1). After learning, the network has implemented a 4-bit memory, with each output responding only to its two inputs while ignoring the other inputs.