Discrete time leaky integrator network with synaptic noise. - Paul C. Bressloff; John G. Taylor (Neural Networks, 1991)

Analysis of associative reinforcement learning in neural networks using iterated function systems. - Paul C. Bressloff; Jaroslav Stark (IEEE Trans. Syst. Man Cybern., 1992)

Compartmental-model response function for dendritic trees. - Paul C. Bressloff; John G. Taylor (Biol. Cybern., 1993)

Learning Temporal Sequences from Examples in a Local Feedback Neural Network. - Paul C. Bressloff (Int. J. Neural Syst., 1994)

Dynamics of compartmental model neurons. - Paul C. Bressloff; John G. Taylor (Neural Networks, 1994)

Integro-differential equations and the stability of neural networks with dendritic structure. - Paul C. Bressloff (Biol. Cybern., 1995)

Resonantlike Synchronization and Bursting in a Model of Pulse-Coupled Neurons with Active Dendrites. - Paul C. Bressloff (J. Comput. Neurosci., 1999)

Stochastic Resonance and Bursting in a Binary-Threshold Neuron with Intrinsic Noise. - Paul C. Bressloff; Peter Roper (Information Theory and the Brain, 2000)

Dynamical Mechanism for Sharp Orientation Tuning in an Integrate-and-Fire Model of a Cortical Hypercolumn. - Paul C. Bressloff; Neil W. Bressloff; Jack D. Cowan (Neural Comput., 2000)

Dynamics of Strongly Coupled Spiking Neurons. - Paul C. Bressloff; Stephen Coombes (Neural Comput., 2000)

A Phase Model of Temperature-Dependent Mammalian Cold Receptors. - Peter Roper; Paul C. Bressloff; André Longtin (Neural Comput., 2000)

Solitary Waves in a Model of Dendritic Cable with Active Spines. - Paul C. Bressloff; Stephen Coombes (SIAM J. Appl. Math., 2000)

A Dynamical Theory of Spike Train Transitions in Networks of Integrate-and-Fire Oscillators. - Paul C. Bressloff; Stephen Coombes (SIAM J. Appl. Math., 2000)

Visual cortex and the Retinex algorithm. - Jack D. Cowan; Paul C. Bressloff (Human Vision and Electronic Imaging, 2002)

An Amplitude Equation Approach to Contextual Effects in Visual Cortex. - Paul C. Bressloff; Jack D. Cowan (Neural Comput., 2002)

What Geometric Visual Hallucinations Tell Us about the Visual Cortex. - Paul C. Bressloff; Jack D. Cowan; Martin Golubitsky; Peter J. Thomas 001; Matthew C. Wiener (Neural Comput., 2002)

Breathing Pulses in an Excitatory Neural Network. - Stefanos E. Folias; Paul C. Bressloff (SIAM J. Appl. Dyn. Syst., 2004)

Euclidean Shift-Twist Symmetry in Population Models of Self-Aligning Objects. - Paul C. Bressloff (SIAM J. Appl. Math., 2004)

Front Bifurcations in an Excitatory Neural Network. - Paul C. Bressloff; Stefanos E. Folias (SIAM J. Appl. Math., 2004)

Spontaneous symmetry breaking in self-organizing neural fields. - Paul C. Bressloff (Biol. Cybern., 2005)

Weakly Interacting Pulses in Synaptically Coupled Neural Media. - Paul C. Bressloff (SIAM J. Appl. Math., 2005)

Stimulus-Locked Traveling Waves and Breathers in an Excitatory Neural Network. - Stefanos E. Folias; Paul C. Bressloff (SIAM J. Appl. Math., 2005)

Modeling the role of lateral membrane diffusion in AMPA receptor trafficking along a spiny dendrite. - Berton A. Earnshaw; Paul C. Bressloff (J. Comput. Neurosci., 2008)

Fluctuation-driven rhythmogenesis in an excitatory neuronal network with slow adaptation. - William H. Nesse; Alla Borisyuk; Paul C. Bressloff (J. Comput. Neurosci., 2008)

Traveling Pulses and Wave Propagation Failure in Inhomogeneous Neural Media. - Zachary P. Kilpatrick; Stefanos E. Folias; Paul C. Bressloff (SIAM J. Appl. Dyn. Syst., 2008)

Diffusion of Protein Receptors on a Cylindrical Dendritic Membrane with Partially Absorbing Traps. - Paul C. Bressloff; Berton A. Earnshaw; Michael Jeffrey Ward (SIAM J. Appl. Math., 2008)

Stochastic Neural Field Theory and the System-Size Expansion. - Paul C. Bressloff (SIAM J. Appl. Math., 2009)

A diffusion-activation model of CaMKII translocation waves in dendrites. - Berton A. Earnshaw; Paul C. Bressloff (J. Comput. Neurosci., 2010)

Spatially structured oscillations in a two-dimensional excitatory neuronal network with synaptic depression. - Zachary P. Kilpatrick; Paul C. Bressloff (J. Comput. Neurosci., 2010)

Binocular Rivalry in a Competitive Neural Network with Synaptic Depression. - Zachary P. Kilpatrick; Paul C. Bressloff (SIAM J. Appl. Dyn. Syst., 2010)

Two-Dimensional Bumps in Piecewise Smooth Neural Fields with Synaptic Depression. - Paul C. Bressloff; Zachary P. Kilpatrick (SIAM J. Appl. Math., 2011)

Traveling pulses in a stochastic neural field model of direction selectivity. - Paul C. Bressloff; Jeremy Wilkerson (Frontiers Comput. Neurosci., 2012)

Neural field model of binocular rivalry waves. - Paul C. Bressloff; Matthew A. Webber (J. Comput. Neurosci., 2012)

Hebbian Learning of Recurrent Connections: A Geometrical Perspective. - Mathieu Galtier; Olivier D. Faugeras; Paul C. Bressloff (Neural Comput., 2012)

Front Propagation in Stochastic Neural Fields. - Paul C. Bressloff; Matthew A. Webber (SIAM J. Appl. Dyn. Syst., 2012)

Neural 'Bubble' Dynamics Revisited. - Paul C. Bressloff; Stephen Coombes (Cogn. Comput., 2013)

Metastability in a Stochastic Neural Network Modeled as a Velocity Jump Markov Process. - Paul C. Bressloff; Jay M. Newby (SIAM J. Appl. Dyn. Syst., 2013)

Spatiotemporal Dynamics of Neural Fields on Product Spaces. - Paul C. Bressloff; Samuel R. Carroll (SIAM J. Appl. Dyn. Syst., 2014)

Stochastic Neural Field Theory. - Paul C. Bressloff (Encyclopedia of Computational Neuroscience, 2014)

Escape from Subcellular Domains with Randomly Switching Boundaries. - Paul C. Bressloff; Sean D. Lawley (Multiscale Model. Simul., 2015)

Laminar Neural Field Model of Laterally Propagating Waves of Orientation Selectivity. - Paul C. Bressloff; Samuel R. Carroll (PLoS Comput. Biol., 2015)

Nonlinear Langevin Equations for Wandering Patterns in Stochastic Neural Fields. - Paul C. Bressloff; Zachary P. Kilpatrick (SIAM J. Appl. Dyn. Syst., 2015)

Stochastic Active-Transport Model of Cell Polarization. - Paul C. Bressloff; Bin Xu (SIAM J. Appl. Math., 2015)

A Stochastic Hybrid Framework for Obtaining Statistics of Many Random Walkers in a Switching Environment. - Ethan Levien; Paul C. Bressloff (Multiscale Model. Simul., 2016)

A Mechanism for Turing Pattern Formation with Active and Passive Transport. - Heather A. Brooks; Paul C. Bressloff (SIAM J. Appl. Dyn. Syst., 2016)

Phase Equation for Patterns of Orientation Selectivity in a Neural Field Model of Visual Cortex. - Samuel R. Carroll; Paul C. Bressloff (SIAM J. Appl. Dyn. Syst., 2016)

Diffusion in Cells with Stochastically Gated Gap Junctions. - Paul C. Bressloff (SIAM J. Appl. Math., 2016)

A PDE-DDE Model for Cell Polarization in Fission Yeast. - Bin Xu; Paul C. Bressloff (SIAM J. Appl. Math., 2016)

Coupling sample paths to the thermodynamic limit in Monte Carlo estimators with applications to gene expression. - Ethan Levien; Paul C. Bressloff (J. Comput. Phys., 2017)

Dynamically Active Compartments Coupled by a Stochastically Gated Gap Junction. - Paul C. Bressloff; Sean D. Lawley (J. Nonlinear Sci., 2017)

Robustness of Stochastic Chemical Reaction Networks to Extrinsic Noise: The Role of Deficiency. - Ethan Levien; Paul C. Bressloff (Multiscale Model. Simul., 2018)

A Variational Method for Analyzing Stochastic Limit Cycle Oscillators. - Paul C. Bressloff; James MacLaurin 001 (SIAM J. Appl. Dyn. Syst., 2018)

Symmetric Bifurcations in a Neural Field Model for Encoding the Direction of Spatial Contrast Gradients. - Samuel R. Carroll; Paul C. Bressloff (SIAM J. Appl. Dyn. Syst., 2018)

Doubly Stochastic Poisson Model of Flagellar Length Control. - Paul C. Bressloff; Bhargav R. Karamched (SIAM J. Appl. Math., 2018)

Direct vs. Synaptic Coupling in a Mathematical Model of Cytoneme-Based Morphogen Gradient Formation. - Hyunjoong Kim; Paul C. Bressloff (SIAM J. Appl. Math., 2018)

Stochastic neural field model of stimulus-dependent variability in cortical neurons. - Paul C. Bressloff (PLoS Comput. Biol., 2019)

Node-to-Node and Node-to-Medium Synchronization in Quorum Sensing Networks Affected by State-Dependent Noise. - Gaoyang Fan; Giovanni Russo 002; Paul C. Bressloff (SIAM J. Appl. Dyn. Syst., 2019)

Interaction Between Switching Diffusivities and Cellular Microstructure. - Patrick Murphy; Paul C. Bressloff; Sean D. Lawley (Multiscale Model. Simul., 2020)

Phase Reduction of Stochastic Biochemical Oscillators. - Paul C. Bressloff; James N. MacLaurin (SIAM J. Appl. Dyn. Syst., 2020)

Effective Permeability of a Gap Junction with Age-Structured Switching. - Paul C. Bressloff; Sean D. Lawley; Patrick Murphy (SIAM J. Appl. Math., 2020)

Asymptotic Analysis of Target Fluxes in the Three-Dimensional Narrow Capture Problem. - Paul C. Bressloff (Multiscale Model. Simul., 2021)

Directional Search-and-Capture Model of Cytoneme-Based Morphogenesis. - Paul C. Bressloff (SIAM J. Appl. Math., 2021)

The Narrow Capture Problem with Partially Absorbing Targets and Stochastic Resetting. - Paul C. Bressloff; Ryan D. Schumm (Multiscale Model. Simul., 2022)

Accumulation Time of Diffusion in a 3D Singularly Perturbed Domain. - Paul C. Bressloff (SIAM J. Appl. Math., 2023)

Renewal Equations for Single-Particle Diffusion in Multilayered Media. - Paul C. Bressloff (SIAM J. Appl. Math., 2023)

The 3D Narrow Capture Problem for Traps with Semipermeable Interfaces. - Paul C. Bressloff (Multiscale Model. Simul., 2023)

A numerical method for solving snapping out Brownian motion in 2D bounded domains. - Ryan D. Schumm; Paul C. Bressloff (J. Comput. Phys., 2023)