James MacLaurin

MacLaurin, James N., & Robinson, Peter (2019). Determination of effective brain connectivity from activity correlations. Phys Rev E ,

MacLaurin, James N., & Bressloff, Paul (2020). Wandering bumps in a stochastic neural fields: a variational approach. Physica D,

MacLaurin, James N., & Bressloff, Paul (2020). Phase Reduction of Stochastic Biochemical Oscillators. SIAM Journal of Applied Dynamical Systems, 19(1), 151-180.

MacLaurin, James N. (2018). Synchronization of stochastic hybrid oscillators driven by a common switching environment. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(12),

MacLaurin, James N., & Salhi, Jamil , & Toumi, Salwa (2018). Mean field dynamics of a Wilson–Cowan neuronal network with nonlinear coupling term. Stochastics and Dynamics, 18(06),

Bressloff, P C, & MacLaurin, James N. (2018). Synchronization of stochastic hybrid oscillators driven by a common switching environment. Chaos: An Interdisciplinary Journal of Nonlinear Science, 1--16.

Bressloff, Paul, & MacLaurin, James N. (2018). Stochastic Hybrid Systems in Cellular Neuroscience. The Journal of Mathematical Neuroscience, 8(1),

Bressloff, Paul, & MacLaurin, James N. (2018). A variational method for analyzing stochastic limit cycle oscillators. SIAM Journal on Applied Dynamical Systems, 17(3), 2205-2233.

Bressloff, Paul, & MacLaurin, James N. (2018). A variational method for analyzing limit cycle oscillations in stochastic hybrid systems. Chaos, 28(6),

Mukta, Kamrun N., & MacLaurin, James N., & Robinson, Peter A (2017). Theory of corticothalamic brain activity in a spherical geometry: Spectra, coherence and correlation. Physical Review E, 96,

Inglis, James, & MacLaurin, James N. (2016). A General Framework for Stochastic Traveling Waves and Patterns, with Application to Neural Field Equations. SIAM Journal of Applied Dynamical Systems, 15(1), 195-234.

Faugeras, Olivier, & MacLaurin, James N. (2015). Asymptotic Description of Neural Networks with Correlated Synaptic Weights. Entropy, 17(7), 4701-4743.

Faugeras, Olivier, & MacLaurin, James N. (2014). A Large Deviation Principle and an Expression of the Rate Function for a Discrete Stationary Gaussian Processs. Entropy, 16(12),

Faugeras, Olivier, & MacLaurin, James N. (2014). A Representation of the Relative Entropy with Respect to a Diffusion Process in Terms of Its Infinitesimal Generator. Entropy, 16(12),

Faugeras, Olivier, & MacLaurin, James N. (2014). Asymptotic description of stochastic neural networks. I. Existence of a large deviation principle. Comptes Rendus Mathematique, 352(10), 841-846.

Faugeras, Olivier, & MacLaurin, James N. (2014). Asymptotic description of stochastic neural networks. II. Characterization of the limit law. Comptes Rendus Mathématiques, 352(10), 847-852.

MacLaurin, James N., & Jon, Chapman, & Wyn Jones, Gareth, & Roose, Tiina (2013). The study of asymptotically fine wrinkling in nonlinear elasticity using a boundary layer analysis. Journal of the Mechanics and Physics of Solids, 61(8),

MacLaurin, James N., & Wyn Jones, Gareth, & Chapman, Steven Jon , & Roose, Tiina (2012). The buckling of capillaries in solid tumors. Proceedings of the Royal Society A, 468(2148), 4123-4145.