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The interplay between intrinsic and network dynamics has been the focus of many
investigations. Here we use a combination of theoretical and numerical approaches to study
the effects of delayed global feedback on the information transmission properties of
neural networks. Specifically, we compare networks of neurons that display intrinsic
interspike interval correlations (nonrenewal) to networks that do not (renewal). We find
that excitatory and...
In this paper we study different algorithms for backward
stochastic differential equations (BSDE in short) basing on random
walk framework for 1-dimensional Brownian motion. Implicit and
explicit schemes for both BSDE and reflected BSDE are introduced.
Then we prove the convergence of different algorithms and present
simulation results for different types of BSDEs.
In this paper we study different algorithms for backward
stochastic differential equations (BSDE in short) basing on random
walk framework for 1-dimensional Brownian motion. Implicit and
explicit schemes for both BSDE and reflected BSDE are introduced.
Then we prove the convergence of different algorithms and present
simulation results for different types of BSDEs.
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