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. Author manuscript; available in PMC: 2012 Apr 18.
Published in final edited form as: Nat Neurosci. 2011 Apr 3;14(5):642–648. doi: 10.1038/nn.2796

Figure 2.

Figure 2

Network architecture. (a) A schematic of the neural architecture used to simulate orientation discrimination. (b) Cortical tuning curves in the simulated network are contrast invariant. This figure shows the tuning curve of cortical neurons in the network shown in Figure 3, after one session of training, when presented with stimuli of 9 different signal contrasts. The x-axis represents orientation (in degrees) and the y-axis represents firing rate (in Hz). The width of the tuning is roughly invariant to changes in contrast – only the amplitude of the tuning curve changes with a change in contrast. Similar results were obtained for the network before learning and after both sessions of training.