J. MacLaurin

发表

Metastability of Waves and Patterns Subject to Spatially-Extended Noise

J. MacLaurin, 2020, 2006.12627.

An emergent autonomous flow for mean-field spin glasses

J. MacLaurin, 2020, Probability Theory and Related Fields.

Synchronization of stochastic hybrid oscillators driven by a common switching environment.

James MacLaurin, Paul C Bressloff, P. Bressloff, 2018, Chaos.

A variational method for analyzing limit cycle oscillations in stochastic hybrid systems.

P. Bressloff, J. MacLaurin, 2018, Chaos.

Mean field dynamics of a Wilson–Cowan neuronal network with nonlinear coupling term

J. MacLaurin, Jamil Salhi, S. Toumi, 2017, Stochastics and Dynamics.

ar X iv : 1 50 3 . 07 80 7 v 1 [ m at h . PR ] 2 6 M ar 2 01 5 ON UNIFORM PROPAGATION OF CHAOS

J. MacLaurin, Jamil Salhi, 2015 .

On uniform propagation of chaos

J. MacLaurin, Jamil Salhi, S. Toumi, 2015, 1503.07807.

Asymptotic Description of Neural Networks with Correlated

O. Faugeras, S. Antipolis, G. Kaniadakis, 2015 .

Phase Reduction of Stochastic Biochemical Oscillators\ast

P. Bressloff, J. MacLaurin, 2020 .

Large Deviations of a Spatially-Stationary Network of Interacting Neurons

O. Faugeras, J. MacLaurin, 2014, 1404.0732.

Large Deviations of a Network of Interacting Particles with Sparse Random Connections

J. MacLaurin, 2016 .

Large Deviations of Non-Stochastic Interacting Particles on Random Graphs

J. MacLaurin, 2020 .

Large Deviations of Non-Stochastic Interacting Particles on Sparse Random Graphs

J. MacLaurin, 2020, 2010.14421.

Asymptotic description of stochastic neural networks. I. Existence of a large deviation principle

Olivier Faugeras, James MacLaurin, O. Faugeras, 2014, 1407.2457.

Stochastic Hybrid Systems in Cellular Neuroscience

Paul C. Bressloff, James N. Maclaurin, P. Bressloff, 2018, The Journal of Mathematical Neuroscience.

Large Deviations of an Ergodic Synchronous Neural Network with Learning

O. Faugeras, J. MacLaurin, 2014 .

A Large Deviation Principle and an Analytical Expression of the Rate Function for a Discrete Stationary Gaussian Process

O. Faugeras, J. MacLaurin, 2013 .

The Isochronal Phase of Stochastic PDE and Integral Equations: Metastability and Other Properties

Zachary P. Adams, J. MacLaurin, 2022, 2210.10681.

Wandering bumps in a stochastic neural field: A variational approach

P. Bressloff, J. MacLaurin, 2020 .

Mean Field Dynamics of a Network of Wilson-Cowan Neurons with Electrical Synapses

J. MacLaurin, Jamil Salhi, Salwa Toumi, 2016, 1601.05572.

The buckling of capillaries in solid tumours

T. Roose, T. Roose, J. Chapman, 2012, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

The Study of Asymptotically Fine Wrinkling in Nonlinear Elasticity using a Boundary Layer Analysis

T. Roose, J. Chapman, G. Jones, 2013 .

The Isochronal Phase of Stochastic PDE and Integral Equations: Metastability and Other Properties

Zachary P. Adams, J. MacLaurin, 2022, 2210.10681.

Stochastic Hybrid Systems in Cellular Neuroscience

P. Bressloff, J. MacLaurin, 2018, Journal of mathematical neuroscience.

A General Framework for Stochastic Traveling Waves and Patterns, with Application to Neural Field Equations

James MacLaurin, J. Inglis, J. Inglis, 2015, SIAM J. Appl. Dyn. Syst..

The Effect of Stochastic Bursting on Biological Clock Precision

Abhyudai Singh, James MacLaurin, Abhyudai Singh, 2020, 2020 European Control Conference (ECC).

Phase Reduction of Waves, Patterns, and Oscillations Subject to Spatially Extended Noise

J. MacLaurin, 2023, SIAM J. Appl. Math..

Determination of effective brain connectivity from activity correlations.

P A Robinson, J N MacLaurin, P. Robinson, 2019, Physical review. E.

Phase Reduction of Stochastic Biochemical Oscillators

Paul C. Bressloff, James N. MacLaurin, P. Bressloff, 2018, SIAM J. Appl. Dyn. Syst..

Can Mathematical Models Predict the Outcomes of Prostate Cancer Patients Undergoing Intermittent Androgen Deprivation Therapy

Dashiell E. A. Fryer, Yang Kuang, Katrina K. Treloar, 2014 .

A variational method for analyzing limit cycle oscillations in stochastic hybrid systems.

P. Bressloff, J. MacLaurin, 2018, Chaos.

A Variational Method for Analyzing Stochastic Limit Cycle Oscillators

Paul C. Bressloff, James MacLaurin, P. Bressloff, 2017, SIAM J. Appl. Dyn. Syst..

Stochastic Rotating Waves

Christian Kuehn, James MacLaurin, Giulio Zucal, 2021, 2111.07096.

Asymptotic Description of Neural Networks with Correlated Synaptic Weights

Olivier Faugeras, James MacLaurin, O. Faugeras, 2013, Entropy.

A large deviation principle for networks of rate neurons with correlated synaptic weights

O. Faugeras, J. MacLaurin, 2013, BMC Neuroscience.

A Representation of the Relative Entropy with Respect to a Diffusion Process in Terms of Its Infinitesimal Generator

Olivier Faugeras, James MacLaurin, O. Faugeras, 2014, Entropy.

The mean-field limit of a network of Hopfield neurons with correlated synaptic weights

O. Faugeras, Etienne Tanré, J. MacLaurin, 2019, 1901.10248.

Large Deviations of a Network of Neurons with Dynamic Sparse Random Connections

J. MacLaurin, 2016, 1607.05471.

Synchronization in Stochastic Biochemical Oscillators Subject to Common Multiplicative Extrinsic Noise

James N. MacLaurin, Pedro A. Vilanova, J. MacLaurin, 2021, SIAM J. Appl. Dyn. Syst..

On the form of the relative entropy between measures on the space of continuous functions

O. Faugeras, J. MacLaurin, 2013, 1312.5888.