James MacLaurin

James N. MacLaurin, Peter Robinson. 2019. “Determination of effective brain connectivity from activity correlations.” Phys Rev E .

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

James N. MacLaurin, Paul Bressloff. 2020. “Phase Reduction of Stochastic Biochemical Oscillators.” SIAM Journal of Applied Dynamical Systems, vol. 19, no. 1, pp. 151-180.

James N. MacLaurin. 2018. “Synchronization of stochastic hybrid oscillators driven by a common switching environment.” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 28, no. 12.

James N. MacLaurin, Jamil Salhi, Salwa Toumi. 2018. “Mean field dynamics of a Wilson–Cowan neuronal network with nonlinear coupling term.” Stochastics and Dynamics, vol. 18, no. 06.

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

Paul Bressloff, James N. MacLaurin. 2018. “Stochastic Hybrid Systems in Cellular Neuroscience.” The Journal of Mathematical Neuroscience, vol. 8, no. 1.

Paul Bressloff, James N. MacLaurin. 2018. “A variational method for analyzing stochastic limit cycle oscillators.” SIAM Journal on Applied Dynamical Systems, vol. 17, no. 3, pp. 2205-2233.

Paul Bressloff, James N. MacLaurin. 2018. “A variational method for analyzing limit cycle oscillations in stochastic hybrid systems.” Chaos, vol. 28, no. 6.

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

James Inglis, James N. MacLaurin. 2016. “A General Framework for Stochastic Traveling Waves and Patterns, with Application to Neural Field Equations.” SIAM Journal of Applied Dynamical Systems, vol. 15, no. 1, pp. 195-234.

Olivier Faugeras, James N. MacLaurin. 2015. “Asymptotic Description of Neural Networks with Correlated Synaptic Weights.” Entropy, vol. 17, no. 7, pp. 4701-4743.

Olivier Faugeras, James N. MacLaurin. 2014. “A Large Deviation Principle and an Expression of the Rate Function for a Discrete Stationary Gaussian Processs.” Entropy, vol. 16, no. 12.

Olivier Faugeras, James N. MacLaurin. 2014. “A Representation of the Relative Entropy with Respect to a Diffusion Process in Terms of Its Infinitesimal Generator.” Entropy, vol. 16, no. 12.

Olivier Faugeras, James N. MacLaurin. 2014. “Asymptotic description of stochastic neural networks. I. Existence of a large deviation principle.” Comptes Rendus Mathematique, vol. 352, no. 10, pp. 841-846.

Olivier Faugeras, James N. MacLaurin. 2014. “Asymptotic description of stochastic neural networks. II. Characterization of the limit law.” Comptes Rendus Mathématiques, vol. 352, no. 10, pp. 847-852.

James N. MacLaurin, Chapman Jon, Gareth Wyn Jones, Tiina Roose. 2013. “The study of asymptotically fine wrinkling in nonlinear elasticity using a boundary layer analysis.” Journal of the Mechanics and Physics of Solids, vol. 61, no. 8.

James N. MacLaurin, Gareth Wyn Jones, Steven Jon Chapman, Tiina Roose. 2012. “The buckling of capillaries in solid tumors.” Proceedings of the Royal Society A, vol. 468, no. 2148, pp. 4123-4145.