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. Author manuscript; available in PMC: 2010 May 1.
Published in final edited form as: Neural Comput. 2010 May;22(5):1312–1332. doi: 10.1162/neco.2009.04-09-999

Figure 5.

Figure 5

Decrease of the total activity of the L1 network (sum of activities of L1 units) as a function of differences between inputs to stronger and weaker units. A bigger difference between inputs to strongly activated and weakly activated units led to bigger neural suppression. But this dependence worked only above a certain threshold. We checked this dependence for two strengths of inhibition: parameter b = 0.27 (rectangular) and b = 0.2 (triangular symbols). Input to weaker units was I = 5, and inputs to stronger inputs were varied.