Paul C. Bressloff

70 papers Journal 67Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Asymptotic Analysis of the 2D Narrow-Capture Problem for Partially Accessible Targets. SIAM J. Appl. Math. Paul C. Bressloff
2025	J	`jnl`	Slow-fast Systems with Stochastic Resetting. SIAM J. Appl. Dyn. Syst. Paul C. Bressloff
2023	J	`jnl`	A numerical method for solving snapping out Brownian motion in 2D bounded domains. J. Comput. Phys. Ryan D. Schumm, Paul C. Bressloff
2023	J	`jnl`	Accumulation Time of Diffusion in a 3D Singularly Perturbed Domain. SIAM J. Appl. Math. Paul C. Bressloff
2023	J	`jnl`	Renewal Equations for Single-Particle Diffusion in Multilayered Media. SIAM J. Appl. Math. Paul C. Bressloff
2023	J	`jnl`	The 3D Narrow Capture Problem for Traps with Semipermeable Interfaces. Multiscale Model. Simul. Paul C. Bressloff
2022	J	`jnl`	The Narrow Capture Problem with Partially Absorbing Targets and Stochastic Resetting. Multiscale Model. Simul. Paul C. Bressloff, Ryan D. Schumm
2021	J	`jnl`	Asymptotic Analysis of Target Fluxes in the Three-Dimensional Narrow Capture Problem. Multiscale Model. Simul. Paul C. Bressloff
2021	J	`jnl`	Directional Search-and-Capture Model of Cytoneme-Based Morphogenesis. SIAM J. Appl. Math. Paul C. Bressloff
2020	J	`jnl`	Effective Permeability of a Gap Junction with Age-Structured Switching. SIAM J. Appl. Math. Paul C. Bressloff, Sean D. Lawley, Patrick Murphy
2020	J	`jnl`	Interaction Between Switching Diffusivities and Cellular Microstructure. Multiscale Model. Simul. Patrick Murphy, Paul C. Bressloff, Sean D. Lawley
2020	J	`jnl`	Phase Reduction of Stochastic Biochemical Oscillators. SIAM J. Appl. Dyn. Syst. Paul C. Bressloff, James N. MacLaurin
2019	J	`jnl`	Node-to-Node and Node-to-Medium Synchronization in Quorum Sensing Networks Affected by State-Dependent Noise. SIAM J. Appl. Dyn. Syst. Gaoyang Fan, Giovanni Russo, Paul C. Bressloff
2019	J	`jnl`	Stochastic neural field model of stimulus-dependent variability in cortical neurons. PLoS Comput. Biol. Paul C. Bressloff
2018	J	`jnl`	A Variational Method for Analyzing Stochastic Limit Cycle Oscillators. SIAM J. Appl. Dyn. Syst. Paul C. Bressloff, James MacLaurin
2018	J	`jnl`	Direct vs. Synaptic Coupling in a Mathematical Model of Cytoneme-Based Morphogen Gradient Formation. SIAM J. Appl. Math. Hyunjoong Kim, Paul C. Bressloff
2018	J	`jnl`	Doubly Stochastic Poisson Model of Flagellar Length Control. SIAM J. Appl. Math. Paul C. Bressloff, Bhargav R. Karamched
2018	J	`jnl`	Robustness of Stochastic Chemical Reaction Networks to Extrinsic Noise: The Role of Deficiency. Multiscale Model. Simul. Ethan Levien, Paul C. Bressloff
2018	J	`jnl`	Symmetric Bifurcations in a Neural Field Model for Encoding the Direction of Spatial Contrast Gradients. SIAM J. Appl. Dyn. Syst. Samuel R. Carroll, Paul C. Bressloff
2017	J	`jnl`	Coupling sample paths to the thermodynamic limit in Monte Carlo estimators with applications to gene expression. J. Comput. Phys. Ethan Levien, Paul C. Bressloff
2017	J	`jnl`	Dynamically Active Compartments Coupled by a Stochastically Gated Gap Junction. J. Nonlinear Sci. Paul C. Bressloff, Sean D. Lawley
2016	J	`jnl`	A Mechanism for Turing Pattern Formation with Active and Passive Transport. SIAM J. Appl. Dyn. Syst. Heather A. Brooks, Paul C. Bressloff
2016	J	`jnl`	A PDE-DDE Model for Cell Polarization in Fission Yeast. SIAM J. Appl. Math. Bin Xu, Paul C. Bressloff
2016	J	`jnl`	A Stochastic Hybrid Framework for Obtaining Statistics of Many Random Walkers in a Switching Environment. Multiscale Model. Simul. Ethan Levien, Paul C. Bressloff
2016	J	`jnl`	Diffusion in Cells with Stochastically Gated Gap Junctions. SIAM J. Appl. Math. Paul C. Bressloff
2016	J	`jnl`	Phase Equation for Patterns of Orientation Selectivity in a Neural Field Model of Visual Cortex. SIAM J. Appl. Dyn. Syst. Samuel R. Carroll, Paul C. Bressloff
2015	J	`jnl`	Escape from Subcellular Domains with Randomly Switching Boundaries. Multiscale Model. Simul. Paul C. Bressloff, Sean D. Lawley
2015	J	`jnl`	Laminar Neural Field Model of Laterally Propagating Waves of Orientation Selectivity. PLoS Comput. Biol. Paul C. Bressloff, Samuel R. Carroll
2015	J	`jnl`	Nonlinear Langevin Equations for Wandering Patterns in Stochastic Neural Fields. SIAM J. Appl. Dyn. Syst. Paul C. Bressloff, Zachary P. Kilpatrick
2015	J	`jnl`	Stochastic Active-Transport Model of Cell Polarization. SIAM J. Appl. Math. Paul C. Bressloff, Bin Xu
2014	J	`jnl`	Spatiotemporal Dynamics of Neural Fields on Product Spaces. SIAM J. Appl. Dyn. Syst. Paul C. Bressloff, Samuel R. Carroll
2014	—	`ch.`	Stochastic Neural Field Theory. Encyclopedia of Computational Neuroscience Paul C. Bressloff
2013	J	`jnl`	Metastability in a Stochastic Neural Network Modeled as a Velocity Jump Markov Process. SIAM J. Appl. Dyn. Syst. Paul C. Bressloff, Jay M. Newby
2013	J	`jnl`	Neural 'Bubble' Dynamics Revisited. Cogn. Comput. Paul C. Bressloff, Stephen Coombes
2012	J	`jnl`	Front Propagation in Stochastic Neural Fields. SIAM J. Appl. Dyn. Syst. Paul C. Bressloff, Matthew A. Webber
2012	J	`jnl`	Hebbian Learning of Recurrent Connections: A Geometrical Perspective. Neural Comput. Mathieu Galtier, Olivier D. Faugeras, Paul C. Bressloff
2012	J	`jnl`	Neural field model of binocular rivalry waves. J. Comput. Neurosci. Paul C. Bressloff, Matthew A. Webber
2012	J	`jnl`	Traveling pulses in a stochastic neural field model of direction selectivity. Frontiers Comput. Neurosci. Paul C. Bressloff, Jeremy Wilkerson
2011	J	`jnl`	Two-Dimensional Bumps in Piecewise Smooth Neural Fields with Synaptic Depression. SIAM J. Appl. Math. Paul C. Bressloff, Zachary P. Kilpatrick
2010	J	`jnl`	A diffusion-activation model of CaMKII translocation waves in dendrites. J. Comput. Neurosci. Berton A. Earnshaw, Paul C. Bressloff
2010	J	`jnl`	Binocular Rivalry in a Competitive Neural Network with Synaptic Depression. SIAM J. Appl. Dyn. Syst. Zachary P. Kilpatrick, Paul C. Bressloff
2010	J	`jnl`	Spatially structured oscillations in a two-dimensional excitatory neuronal network with synaptic depression. J. Comput. Neurosci. Zachary P. Kilpatrick, Paul C. Bressloff
2009	J	`jnl`	Fluctuation-driven rhythmogenesis in an excitatory neuronal network with slow adaptation. J. Comput. Neurosci. William H. Nesse, Alla Borisyuk, Paul C. Bressloff
2009	J	`jnl`	Stochastic Neural Field Theory and the System-Size Expansion. SIAM J. Appl. Math. Paul C. Bressloff
2008	J	`jnl`	Diffusion of Protein Receptors on a Cylindrical Dendritic Membrane with Partially Absorbing Traps. SIAM J. Appl. Math. Paul C. Bressloff, Berton A. Earnshaw, Michael Jeffrey Ward
2008	J	`jnl`	Fluctuation-driven rhythmogenesis in an excitatory neuronal network with slow adaptation. J. Comput. Neurosci. William H. Nesse, Alla Borisyuk, Paul C. Bressloff
2008	J	`jnl`	Modeling the role of lateral membrane diffusion in AMPA receptor trafficking along a spiny dendrite. J. Comput. Neurosci. Berton A. Earnshaw, Paul C. Bressloff
2008	J	`jnl`	Traveling Pulses and Wave Propagation Failure in Inhomogeneous Neural Media. SIAM J. Appl. Dyn. Syst. Zachary P. Kilpatrick, Stefanos E. Folias, Paul C. Bressloff
2005	J	`jnl`	Spontaneous symmetry breaking in self-organizing neural fields. Biol. Cybern. Paul C. Bressloff
2005	J	`jnl`	Stimulus-Locked Traveling Waves and Breathers in an Excitatory Neural Network. SIAM J. Appl. Math. Stefanos E. Folias, Paul C. Bressloff
2005	J	`jnl`	Weakly Interacting Pulses in Synaptically Coupled Neural Media. SIAM J. Appl. Math. Paul C. Bressloff
2004	J	`jnl`	Breathing Pulses in an Excitatory Neural Network. SIAM J. Appl. Dyn. Syst. Stefanos E. Folias, Paul C. Bressloff
2004	J	`jnl`	Euclidean Shift-Twist Symmetry in Population Models of Self-Aligning Objects. SIAM J. Appl. Math. Paul C. Bressloff
2004	J	`jnl`	Front Bifurcations in an Excitatory Neural Network. SIAM J. Appl. Math. Paul C. Bressloff, Stefanos E. Folias
2002	J	`jnl`	An Amplitude Equation Approach to Contextual Effects in Visual Cortex. Neural Comput. Paul C. Bressloff, Jack D. Cowan
2002	—	`conf`	Visual cortex and the Retinex algorithm. Human Vision and Electronic Imaging Jack D. Cowan, Paul C. Bressloff
2002	J	`jnl`	What Geometric Visual Hallucinations Tell Us about the Visual Cortex. Neural Comput. Paul C. Bressloff, Jack D. Cowan, Martin Golubitsky, Peter J. Thomas, Matthew C. Wiener
2000	J	`jnl`	A Dynamical Theory of Spike Train Transitions in Networks of Integrate-and-Fire Oscillators. SIAM J. Appl. Math. Paul C. Bressloff, Stephen Coombes
2000	J	`jnl`	A Phase Model of Temperature-Dependent Mammalian Cold Receptors. Neural Comput. Peter Roper, Paul C. Bressloff, André Longtin
2000	J	`jnl`	Dynamical Mechanism for Sharp Orientation Tuning in an Integrate-and-Fire Model of a Cortical Hypercolumn. Neural Comput. Paul C. Bressloff, Neil W. Bressloff, Jack D. Cowan
2000	J	`jnl`	Dynamics of Strongly Coupled Spiking Neurons. Neural Comput. Paul C. Bressloff, Stephen Coombes
2000	J	`jnl`	Solitary Waves in a Model of Dendritic Cable with Active Spines. SIAM J. Appl. Math. Paul C. Bressloff, Stephen Coombes
2000	—	`ch.`	Stochastic Resonance and Bursting in a Binary-Threshold Neuron with Intrinsic Noise. Information Theory and the Brain Paul C. Bressloff, Peter Roper
1999	J	`jnl`	Resonantlike Synchronization and Bursting in a Model of Pulse-Coupled Neurons with Active Dendrites. J. Comput. Neurosci. Paul C. Bressloff
1995	J	`jnl`	Integro-differential equations and the stability of neural networks with dendritic structure. Biol. Cybern. Paul C. Bressloff
1994	J	`jnl`	Dynamics of compartmental model neurons. Neural Networks Paul C. Bressloff, John G. Taylor
1994	J	`jnl`	Learning Temporal Sequences from Examples in a Local Feedback Neural Network. Int. J. Neural Syst. Paul C. Bressloff
1993	J	`jnl`	Compartmental-model response function for dendritic trees. Biol. Cybern. Paul C. Bressloff, John G. Taylor
1992	J	`jnl`	Analysis of associative reinforcement learning in neural networks using iterated function systems. IEEE Trans. Syst. Man Cybern. Paul C. Bressloff, Jaroslav Stark
1991	J	`jnl`	Discrete time leaky integrator network with synaptic noise. Neural Networks Paul C. Bressloff, John G. Taylor