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>