activity
20092016
most citedStochastic Turing patterns in the Brusselator model

159 citations · 434 across the 9 of their papers we have counts for

collaborators

9 papers

cond-mat.dis-nn2016★ 1 cited

Fluctuating hydrodynamics approximation of the stochastic Cowan-Wilson model

Clement Zankoc, Tommaso Biancalani, Duccio Fanelli +1

We consider a stochastic version of the Wilson-Cowan model which accommodates for discrete populations of excitatory and inhibitory neurons. The model assumes a finite carrying cap…

cond-mat.stat-mech2014★ 4 cited

The statistics of fixation times for systems with recruitment

Tommaso Biancalani, Louise Dyson, Alan J. McKane

We investigate the statistics of the time taken for a system driven by recruitment to reach fixation. Our model describes a series of experiments where a population is confronted w…

q-bio.PE2013★ 143 cited

Noise-Induced Bistable States and Their Mean Switching Time in Foraging Colonies

Tommaso Biancalani, Louise Dyson, Alan J. McKane

We investigate a type of bistability where noise not only causes transitions between stable states, but also constructs the states themselves. We focus on the experimentally well-s…

cond-mat.stat-mech2013★ 34 cited

The linear noise approximation for reaction-diffusion systems on networks

Malbor Asllani, Tommaso Biancalani, Duccio Fanelli +1

Stochastic reaction-diffusion models can be analytically studied on complex networks using the linear noise approximation. This is illustrated through the use of a specific stochas…

q-bio.PE2012★ 1 cited

Stochastic pattern formation and spontaneous polarisation: the linear noise approximation and beyond

Alan J. McKane, Tommaso Biancalani, Tim Rogers

We review the mathematical formalism underlying the modelling of stochasticity in biological systems. Beginning with a description of the system in terms of its basic constituents,…

cond-mat.stat-mech2012★ 10 cited

Diffusion of two molecular species in a crowded environment: theory and experiments

D. Fanelli, A. J. McKane, G. Pompili +3

Diffusion of a two component fluid is studied in the framework of differential equations, but where these equations are systematically derived from a well-defined microscopic model…

cond-mat.stat-mech2012★ 38 cited

Noise-induced metastability in biochemical networks

Tommaso Biancalani, Tim Rogers, Alan J. McKane

Intra-cellular biochemical reactions exhibit a rich dynamical phenomenology which cannot be explained within the framework of mean-field rate equations and additive noise. Here, we…

cond-mat.stat-mech2011★ 44 cited

Stochastic waves in a Brusselator model with nonlocal interaction

Tommaso Biancalani, Tobias Galla, Alan J. McKane

We show that intrinsic noise can induce spatio-temporal phenomena such as Turing patterns and travelling waves in a Brusselator model with nonlocal interaction terms. In order to p…

cond-mat.stat-mech2009★ 159 cited

Stochastic Turing patterns in the Brusselator model

Tommaso Biancalani, Duccio Fanelli, Francesca Di Patti

A stochastic version of the Brusselator model is proposed and studied via the system size expansion. The mean-field equations are derived and shown to yield to organized Turing pat…