activity
20102014
most citedA Comparative Study of Reservoir Computing for Temporal Signal Processing

23 citations · 29 across the 6 of their papers we have counts for

collaborators

6 papers

cs.ET2014

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…

cs.ET2014★ 1 cited

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…

cs.NE2014★ 23 cited

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…

cs.NE2013★ 2 cited

DNA Reservoir Computing: A Novel Molecular Computing Approach

Alireza Goudarzi, Matthew R. Lakin, Darko Stefanovic

We propose a novel molecular computing approach based on reservoir computing. In reservoir computing, a dynamical core, called a reservoir, is perturbed with an external input sign…

cs.PL2011★ 2 cited

Constraint solving in non-permutative nominal abstract syntax

Matthew R. Lakin

Nominal abstract syntax is a popular first-order technique for encoding, and reasoning about, abstract syntax involving binders. Many of its applications involve constraint solving…

cs.PL2010★ 1 cited

Stochastic Simulation of Process Calculi for Biology

Andrew Phillips, Matthew Lakin, Loïc Paulevé

Biological systems typically involve large numbers of components with complex, highly parallel interactions and intrinsic stochasticity. To model this complexity, numerous programm…