Paul C. Bressloff

According to our database, Paul C. Bressloff authored at least 67 papers between 1991 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A numerical method for solving snapping out Brownian motion in 2D bounded domains.

Ryan D. Schumm, Paul C. Bressloff

J. Comput. Phys., November, 2023

The 3D Narrow Capture Problem for Traps with Semipermeable Interfaces.

Paul C. Bressloff

Multiscale Model. Simul., September, 2023

Renewal Equations for Single-Particle Diffusion in Multilayered Media.

Paul C. Bressloff

SIAM J. Appl. Math., August, 2023

Accumulation Time of Diffusion in a 3D Singularly Perturbed Domain.

Paul C. Bressloff

SIAM J. Appl. Math., April, 2023

2022

The Narrow Capture Problem with Partially Absorbing Targets and Stochastic Resetting.

Paul C. Bressloff, Ryan D. Schumm

Multiscale Model. Simul., March, 2022

2021

Directional Search-and-Capture Model of Cytoneme-Based Morphogenesis.

Paul C. Bressloff

SIAM J. Appl. Math., 2021

Asymptotic Analysis of Target Fluxes in the Three-Dimensional Narrow Capture Problem.

Paul C. Bressloff

Multiscale Model. Simul., 2021

2020

Effective Permeability of a Gap Junction with Age-Structured Switching.

Paul C. Bressloff, Sean D. Lawley, Patrick Murphy

SIAM J. Appl. Math., 2020

Phase Reduction of Stochastic Biochemical Oscillators.

Paul C. Bressloff, James N. MacLaurin

SIAM J. Appl. Dyn. Syst., 2020

Interaction Between Switching Diffusivities and Cellular Microstructure.

Patrick Murphy, Paul C. Bressloff, Sean D. Lawley

Multiscale Model. Simul., 2020

2019

Node-to-Node and Node-to-Medium Synchronization in Quorum Sensing Networks Affected by State-Dependent Noise.

Gaoyang Fan, Giovanni Russo, Paul C. Bressloff

SIAM J. Appl. Dyn. Syst., 2019

Stochastic neural field model of stimulus-dependent variability in cortical neurons.

Paul C. Bressloff

PLoS Comput. Biol., 2019

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

Doubly Stochastic Poisson Model of Flagellar Length Control.

Paul C. Bressloff, Bhargav R. Karamched

SIAM J. Appl. Math., 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

A Variational Method for Analyzing Stochastic Limit Cycle Oscillators.

Paul C. Bressloff, James MacLaurin

SIAM J. Appl. Dyn. Syst., 2018

Robustness of Stochastic Chemical Reaction Networks to Extrinsic Noise: The Role of Deficiency.

Ethan Levien, Paul C. Bressloff

Multiscale Model. Simul., 2018

2017

Dynamically Active Compartments Coupled by a Stochastically Gated Gap Junction.

Paul C. Bressloff, Sean D. Lawley

J. Nonlinear Sci., 2017

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

2016

A PDE-DDE Model for Cell Polarization in Fission Yeast.

Bin Xu, Paul C. Bressloff

SIAM J. Appl. Math., 2016

Diffusion in Cells with Stochastically Gated Gap Junctions.

Paul C. Bressloff

SIAM J. Appl. Math., 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

A Mechanism for Turing Pattern Formation with Active and Passive Transport.

Heather A. Brooks, Paul C. Bressloff

SIAM J. Appl. Dyn. Syst., 2016

A Stochastic Hybrid Framework for Obtaining Statistics of Many Random Walkers in a Switching Environment.

Ethan Levien, Paul C. Bressloff

Multiscale Model. Simul., 2016

2015

Stochastic Active-Transport Model of Cell Polarization.

Paul C. Bressloff, Bin Xu

SIAM J. Appl. Math., 2015

Nonlinear Langevin Equations for Wandering Patterns in Stochastic Neural Fields.

Paul C. Bressloff, Zachary P. Kilpatrick

SIAM J. Appl. Dyn. Syst., 2015

Laminar Neural Field Model of Laterally Propagating Waves of Orientation Selectivity.

Paul C. Bressloff, Samuel R. Carroll

PLoS Comput. Biol., 2015

Escape from Subcellular Domains with Randomly Switching Boundaries.

Paul C. Bressloff, Sean D. Lawley

Multiscale Model. Simul., 2015

2014

Stochastic Neural Field Theory.

Paul C. Bressloff

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Spatiotemporal Dynamics of Neural Fields on Product Spaces.

Paul C. Bressloff, Samuel R. Carroll

SIAM J. Appl. Dyn. Syst., 2014

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

Neural 'Bubble' Dynamics Revisited.

Paul C. Bressloff, Stephen Coombes

Cogn. Comput., 2013

2012

Front Propagation in Stochastic Neural Fields.

Paul C. Bressloff, Matthew A. Webber

SIAM J. Appl. Dyn. Syst., 2012

Hebbian Learning of Recurrent Connections: A Geometrical Perspective.

Mathieu Galtier, Olivier D. Faugeras, Paul C. Bressloff

Neural Comput., 2012

Neural field model of binocular rivalry waves.

Paul C. Bressloff, Matthew A. Webber

J. Comput. Neurosci., 2012

Traveling pulses in a stochastic neural field model of direction selectivity.

Paul C. Bressloff, Jeremy Wilkerson

Frontiers Comput. Neurosci., 2012

2011

Two-Dimensional Bumps in Piecewise Smooth Neural Fields with Synaptic Depression.

Paul C. Bressloff, Zachary P. Kilpatrick

SIAM J. Appl. Math., 2011

2010

Binocular Rivalry in a Competitive Neural Network with Synaptic Depression.

Zachary P. Kilpatrick, Paul C. Bressloff

SIAM J. Appl. Dyn. Syst., 2010

Spatially structured oscillations in a two-dimensional excitatory neuronal network with synaptic depression.

Zachary P. Kilpatrick, Paul C. Bressloff

J. Comput. Neurosci., 2010

A diffusion-activation model of CaMKII translocation waves in dendrites.

Berton A. Earnshaw, Paul C. Bressloff

J. Comput. Neurosci., 2010

2009

Stochastic Neural Field Theory and the System-Size Expansion.

Paul C. Bressloff

SIAM J. Appl. Math., 2009

Fluctuation-driven rhythmogenesis in an excitatory neuronal network with slow adaptation.

William H. Nesse, Alla Borisyuk, Paul C. Bressloff

J. Comput. Neurosci., 2009

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

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

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

2005

Stimulus-Locked Traveling Waves and Breathers in an Excitatory Neural Network.

Stefanos E. Folias, Paul C. Bressloff

SIAM J. Appl. Math., 2005

Weakly Interacting Pulses in Synaptically Coupled Neural Media.

Paul C. Bressloff

SIAM J. Appl. Math., 2005

Spontaneous symmetry breaking in self-organizing neural fields.

Paul C. Bressloff

Biol. Cybern., 2005

2004

Front Bifurcations in an Excitatory Neural Network.

Paul C. Bressloff, Stefanos E. Folias

SIAM J. Appl. Math., 2004

Euclidean Shift-Twist Symmetry in Population Models of Self-Aligning Objects.

Paul C. Bressloff

SIAM J. Appl. Math., 2004

Breathing Pulses in an Excitatory Neural Network.

Stefanos E. Folias, Paul C. Bressloff

SIAM J. Appl. Dyn. Syst., 2004

2002

What Geometric Visual Hallucinations Tell Us about the Visual Cortex.

Paul C. Bressloff, Jack D. Cowan, Martin Golubitsky, Peter J. Thomas, Matthew C. Wiener

Neural Comput., 2002

An Amplitude Equation Approach to Contextual Effects in Visual Cortex.

Paul C. Bressloff, Jack D. Cowan

Neural Comput., 2002

Visual cortex and the Retinex algorithm.

Jack D. Cowan, Paul C. Bressloff

Proceedings of the Human Vision and Electronic Imaging VII, 2002

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

Solitary Waves in a Model of Dendritic Cable with Active Spines.

Paul C. Bressloff, Stephen Coombes

SIAM J. Appl. Math., 2000

A Phase Model of Temperature-Dependent Mammalian Cold Receptors.

Peter Roper, Paul C. Bressloff, André Longtin

Neural Comput., 2000

Dynamics of Strongly Coupled Spiking Neurons.

Paul C. Bressloff, Stephen Coombes

Neural Comput., 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

Stochastic Resonance and Bursting in a Binary-Threshold Neuron with Intrinsic Noise.

Paul C. Bressloff, Peter Roper

Proceedings of the Information Theory and the Brain, 2000

1999

Resonantlike Synchronization and Bursting in a Model of Pulse-Coupled Neurons with Active Dendrites.

Paul C. Bressloff

J. Comput. Neurosci., 1999

1995

Integro-differential equations and the stability of neural networks with dendritic structure.

Paul C. Bressloff

Biol. Cybern., 1995

1994

Dynamics of compartmental model neurons.

Paul C. Bressloff, John G. Taylor

Neural Networks, 1994

Learning Temporal Sequences from Examples in a Local Feedback Neural Network.

Paul C. Bressloff

Int. J. Neural Syst., 1994

1993

Compartmental-model response function for dendritic trees.

Paul C. Bressloff, John G. Taylor

Biol. Cybern., 1993

1992

Analysis of associative reinforcement learning in neural networks using iterated function systems.

Paul C. Bressloff, Jaroslav Stark

IEEE Trans. Syst. Man Cybern., 1992

1991

Discrete time leaky integrator network with synaptic noise.

Paul C. Bressloff, John G. Taylor

Neural Networks, 1991