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An increasing number of research groups develop dedicated hybrid analog/digital very large scale integration (VLSI) devices implementing hundreds of spiking neurons with bio-physically realistic dynamics. However, despite the significant progress in their design, there is still little insight in translating circuitry of neural assemblies into desired (non-trivial) function. In this work, we propose to use neural circuits implementing the soft Winner-Take-All (WTA) function. By showing thatdoi:10.1109/iscas.2010.5537007 dblp:conf/iscas/NeftciCCID10a fatcat:w575wrnm55ghphdjpk3y4dsbpi