31 citations · 99 across the 13 of their papers we have counts for
5 papers · 1 filter
Towards a Calculus of Echo State Networks
Alireza Goudarzi, Darko Stefanovic
Reservoir computing is a recent trend in neural networks which uses the dynamical perturbations on the phase space of a system to compute a desired target function. We present how…
Lattice gases with a point source
P. L. Krapivsky, Darko Stefanovic
We study diffusive lattice gases with local injection of particles, namely we assume that whenever the origin becomes empty, a new particle is immediately injected into the origin.…
A Model for Variation- and Fault-Tolerant Digital Logic using Self-Assembled Nanowire Architectures
Alireza Goudarzi, Matthew R. Lakin, Darko Stefanovic +1
Reconfiguration has been used for both defect- and fault-tolerant nanoscale architectures with regular structure. Recent advances in self-assembled nanowires have opened doors to a…
Reservoir Computing Approach to Robust Computation using Unreliable Nanoscale Networks
Alireza Goudarzi, Matthew R. Lakin, Darko Stefanovic
As we approach the physical limits of CMOS technology, advances in materials science and nanotechnology are making available a variety of unconventional computing substrates that c…
A Comparative Study of Reservoir Computing for Temporal Signal Processing
Alireza Goudarzi, Peter Banda, Matthew R. Lakin +2
Reservoir computing (RC) is a novel approach to time series prediction using recurrent neural networks. In RC, an input signal perturbs the intrinsic dynamics of a medium called a…