10.1371/journal.pone.0085175.g003 Michael Alexander Nugent Michael Alexander Nugent Timothy Wesley Molter Timothy Wesley Molter Universal reconfigurable logic. Public Library of Science 2014 Computational biology computational neuroscience Circuit models Coding mechanisms neuroscience Cognitive neuroscience cognition Decision making Motor reactions Sensory systems Visual system Learning and memory Motor systems neural networks algorithms Computer architecture Computer hardware Computing systems Hybrid computing text mining Electrical engineering Electronics engineering Solid state physics reconfigurable 2014-02-10 03:23:44 Figure https://plos.figshare.com/articles/figure/_Universal_reconfigurable_logic_/929348 <p>By connecting the output of AHaH nodes (circles) to the input of static NAND gates, one may create a universal reconfigurable logic gate by configuring the AHaH node attractor states (). The structure of the data stream on binary encoded channels and support AHaH attractor states (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0085175#pone-0085175-g002" target="_blank">Figure 2</a>). Through configuration of node attractor states the logic function of the circuit can be configured and all logic functions are possible. If inputs are represented as a spike encoding over four channels then AHaH node attractor states can attain all logic functions without the use of NAND gates.</p>