Dynamics of Autonomous Boolean Networks

Otti D'Huys, Duke, Physics
Autonomous Boolean networks are known to display complex dynamics, originating from the absence of an external clock, internal time delays and the non-ideal behaviour of the logic gates. We study experimentally such networks on a field-programmable gate array (FPGA). We briefly discuss some dynamical phenomena that can be observed in our experiments. In particular, we show how networks consisting of logic elements can produce long transients, due to an interplay of noise, asymmetry and network structure. Moreover, we demonstrate how these transients can be used to successfully perform reservoir computing, a new machine learning paradigm.
April, 6 2015 | 12:30 - 14:00 | Gross Hall 230E

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