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We evaluate the system using a simulated stochastic implementation and discuss possible hardware implementations of such architectures and their potential for sensorimotor processing and robotics.
Seminal works in this domain include tomographic rainfall mapping [4] and a stochastic implementation of the microwave tomographic inversion technique (MTIT) [5].
To that end, we considered a deterministic, population dynamic model of HIV infection with a stochastic implementation of mutation and recombination [33] [35], and examined the viral-immune dynamics with and without recombination (see Methods).
Because this approach is simply the stochastic implementation of the quasispecies dynamics of the system, it converges to the infinite population, continuous time result as the population size gets larger and the time steps get smaller.
The Koulakov model has a stochastic implementation of the mechanism.
This stochastic implementation of a PBN is referred to as a stochastic Boolean network (SBN).
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Stochastic implementations of noncooperative games for power allocation, spreading code allocation, and choice of the uplink (linear) receiver are thus proposed, and analytical results describing the convergence properties of selected stochastic algorithms are also given.
Stochastic implementations of GRNs, such as the one presented here, may guide predictions of actual noise magnitudes experienced in biological systems.
Stochastic implementations of a GRN model as pursued in this study were proposed by C. H. Waddington many years ago ([22]; see review in [23]).
The use of this ABC procedure also allows us to control the potentially unbounded nature of the underlying mathematical model in order to home in onto biologically plausible scenarios for the ODE and stochastic implementations.
The experimental results confirmed the validity of the developed stochastic FPGA implementation, which makes the implementation of the silicon neuron more biologically plausible for future hybrid experiments.
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