PDF | This work presents an ultra-low-power, biologically inspired pseudo-random number generator based on the Hodgkin-Huxley silicon neuron circuit.
The proposed random number generator circuit provides an ultra-low-power alternative for pseudo-random number generation with 180 nW power consumption and ...
Abstract: This work presents an ultra-low-power, biologically in- spired pseudo-random number generator based on the Hodgkin-Huxley silicon neuron circuit.
Abstract: This work presents an ultra-low-power, biologically inspired pseudo-random number generator based on the Hodgkin-Huxley silicon neuron circuit.
Bibliographic details on An ultra-low-power pseudo-random number generator based on biologically inspired chaotic silicon neuron circuit.
This work presents an ultra-low-power, biologically inspired pseudo-random number generator based on the Hodgkin-Huxley silicon neuron circuit. The chaotic ...
An ultra-low-power pseudo-random number generator based on biologically inspired chaotic silicon neuron circuit. Vinaya L. Shrestha, Qingyun Ma, Mohammad R ...
This work presents an ultra-low-power, biologically inspired pseudo-random number generator based on the Hodgkin-Huxley silicon neuron circuit. The chaotic ...
An ultra-low-power pseudo-random number generator based on biologically inspired chaotic silicon neuron circuit. VL Shrestha, Q Ma, MR Haider, Y Massoud.
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Jan 27, 2024 · Two popular algorithms for pseudorandom numbers according to Wikipedia seem to be the Mersenne Twister and PCG, Python uses PCG64 by default.