#### Filter Results:

- Full text PDF available (1)

#### Publication Year

2003

2012

- This year (0)
- Last five years (1)

#### Publication Type

#### Co-author

#### Publication Venue

#### Key Phrases

#### Organism

Learn More

- Patrick N McGraw, Michael Menzinger
- Physical review. E, Statistical, nonlinear, and…
- 2005

Convectively unstable, open reactive flows of oscillatory media, whose phase is fixed or periodically modulated at the inflow boundary, are known to result in stationary and traveling waves, respectively. The latter are implicated in biological segmentation. The boundary-controlled pattern selection by this flow-distributed oscillator (FDO) mechanism has… (More)

- Patrick N McGraw, Michael Menzinger
- Physical review. E, Statistical, nonlinear, and…
- 2008

We examine numerically the three-way relationships among structure, Laplacian spectra, and frequency synchronization dynamics on complex networks. We study the effects of clustering, degree distribution, and a particular type of coupling asymmetry (input normalization), all of which are known to have effects on the synchronizability of oscillator networks.… (More)

- Patrick N McGraw, Michael Menzinger
- Physical review. E, Statistical, nonlinear, and…
- 2003

To explore the relation between network structure and function, we studied the computational performance of Hopfield-type attractor neural nets with regular lattice, random, small-world, and scale-free topologies. The random configuration is the most efficient for storage and retrieval of patterns by the network as a whole. However, in the scale-free case… (More)

- Patrick N McGraw, Michael Menzinger
- Physical review. E, Statistical, nonlinear, and…
- 2005

By manipulating the clustering coefficient of a network without changing its degree distribution, we examine the effect of clustering on the synchronization of phase oscillators on networks with Poisson and scale-free degree distributions. For both types of networks, increased clustering hinders global synchronization as the network splits into dynamical… (More)

- Patrick N McGraw, Michael Menzinger
- Physical review. E, Statistical, nonlinear, and…
- 2003

We examine the large-network, low-loading behavior of an attractor neural network, the so-called bistable gradient network (BGN), and compare it with that of the Hopfield network (HN). We use analytical and numerical methods to characterize the attractor states of the network and their basins of attraction. The energy landscape of BGN is more complex than… (More)

- Patrick N McGraw, Michael Menzinger
- Physical review. E, Statistical, nonlinear, and…
- 2007

We analyze the synchronization dynamics of phase oscillators far from the synchronization manifold, including the onset of synchronization on scale-free networks with low and high clustering coefficients. We use normal coordinates and corresponding time-averaged velocities derived from the Laplacian matrix, which reflects the network's topology. In terms of… (More)

- Patrick N McGraw, Michael Menzinger
- Physical review. E, Statistical, nonlinear, and…
- 2005

We examine the effects of a periodically varying flow velocity on the standing- and traveling-wave patterns formed by the flow-distributed oscillation mechanism. In the kinematic (or diffusionless) limit, the phase fronts undergo a simple, spatiotemporally periodic longitudinal displacement. On the other hand, when the diffusion is significant, periodic… (More)

- Patrick McGraw, Michael Menzinger
- Physical review. E, Statistical, nonlinear, and…
- 2011

Random networks of symmetrically coupled, excitable elements can self-organize into coherently oscillating states if the networks contain loops (indeed loops are abundant in random networks) and if the initial conditions are sufficiently random. In the oscillating state, signals propagate in a single direction and one or a few network loops are selected as… (More)

- David G Míguez, Patrick McGraw, Alberto P Muñuzuri, Michael Menzinger
- Physical review. E, Statistical, nonlinear, and…
- 2009

We studied the response of a linearly growing domain of the oscillatory chemical chlorine dioxide-iodide-malonic acid (CDIMA) medium to periodic forcing at its growth boundary. The medium is Hopf-, as well as Turing-unstable and the system is convectively unstable. The results confirm numerical predictions that two distinct modes of pattern can be excited… (More)

- Patrick N McGraw, Michael Menzinger
- Physical review. E, Statistical, nonlinear, and…
- 2012

For a flowing, self-oscillating medium, we study the competition between traveling flow-distributed-oscillation waves excited by periodic driving at the upstream boundary and bulk oscillations originating downstream from the boundary. As previously observed in the case of stationary driving, we find that there is a region in parameter space where… (More)