Paul C. Bressloff

According to our database1, Paul C. Bressloff authored at least 55 papers between 1991 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2018
Direct vs. Synaptic Coupling in a Mathematical Model of Cytoneme-Based Morphogen Gradient Formation.
SIAM Journal of Applied Mathematics, 2018

Doubly Stochastic Poisson Model of Flagellar Length Control.
SIAM Journal of Applied Mathematics, 2018

Symmetric Bifurcations in a Neural Field Model for Encoding the Direction of Spatial Contrast Gradients.
SIAM J. Applied Dynamical Systems, 2018

A Variational Method for Analyzing Stochastic Limit Cycle Oscillators.
SIAM J. Applied Dynamical Systems, 2018

Robustness of Stochastic Chemical Reaction Networks to Extrinsic Noise: The Role of Deficiency.
Multiscale Modeling & Simulation, 2018

2017
Dynamically Active Compartments Coupled by a Stochastically Gated Gap Junction.
J. Nonlinear Science, 2017

Coupling sample paths to the thermodynamic limit in Monte Carlo estimators with applications to gene expression.
J. Comput. Physics, 2017

2016
A PDE-DDE Model for Cell Polarization in Fission Yeast.
SIAM Journal of Applied Mathematics, 2016

Diffusion in Cells with Stochastically Gated Gap Junctions.
SIAM Journal of Applied Mathematics, 2016

Phase Equation for Patterns of Orientation Selectivity in a Neural Field Model of Visual Cortex.
SIAM J. Applied Dynamical Systems, 2016

A Mechanism for Turing Pattern Formation with Active and Passive Transport.
SIAM J. Applied Dynamical Systems, 2016

A Stochastic Hybrid Framework for Obtaining Statistics of Many Random Walkers in a Switching Environment.
Multiscale Modeling & Simulation, 2016

2015
Stochastic Active-Transport Model of Cell Polarization.
SIAM Journal of Applied Mathematics, 2015

Nonlinear Langevin Equations for Wandering Patterns in Stochastic Neural Fields.
SIAM J. Applied Dynamical Systems, 2015

Laminar Neural Field Model of Laterally Propagating Waves of Orientation Selectivity.
PLoS Computational Biology, 2015

Escape from Subcellular Domains with Randomly Switching Boundaries.
Multiscale Modeling & Simulation, 2015

2014
Stochastic Neural Field Theory.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Spatiotemporal Dynamics of Neural Fields on Product Spaces.
SIAM J. Applied Dynamical Systems, 2014

2013
Metastability in a Stochastic Neural Network Modeled as a Velocity Jump Markov Process.
SIAM J. Applied Dynamical Systems, 2013

Neural 'Bubble' Dynamics Revisited.
Cognitive Computation, 2013

2012
Front Propagation in Stochastic Neural Fields.
SIAM J. Applied Dynamical Systems, 2012

Hebbian Learning of Recurrent Connections: A Geometrical Perspective.
Neural Computation, 2012

Neural field model of binocular rivalry waves.
Journal of Computational Neuroscience, 2012

Traveling pulses in a stochastic neural field model of direction selectivity.
Front. Comput. Neurosci., 2012

2011
Two-Dimensional Bumps in Piecewise Smooth Neural Fields with Synaptic Depression.
SIAM Journal of Applied Mathematics, 2011

2010
Binocular Rivalry in a Competitive Neural Network with Synaptic Depression.
SIAM J. Applied Dynamical Systems, 2010

Spatially structured oscillations in a two-dimensional excitatory neuronal network with synaptic depression.
Journal of Computational Neuroscience, 2010

A diffusion-activation model of CaMKII translocation waves in dendrites.
Journal of Computational Neuroscience, 2010

2009
Stochastic Neural Field Theory and the System-Size Expansion.
SIAM Journal of Applied Mathematics, 2009

Fluctuation-driven rhythmogenesis in an excitatory neuronal network with slow adaptation.
Journal of Computational Neuroscience, 2009

2008
Diffusion of Protein Receptors on a Cylindrical Dendritic Membrane with Partially Absorbing Traps.
SIAM Journal of Applied Mathematics, 2008

Traveling Pulses and Wave Propagation Failure in Inhomogeneous Neural Media.
SIAM J. Applied Dynamical Systems, 2008

Fluctuation-driven rhythmogenesis in an excitatory neuronal network with slow adaptation.
Journal of Computational Neuroscience, 2008

Modeling the role of lateral membrane diffusion in AMPA receptor trafficking along a spiny dendrite.
Journal of Computational Neuroscience, 2008

2005
Stimulus-Locked Traveling Waves and Breathers in an Excitatory Neural Network.
SIAM Journal of Applied Mathematics, 2005

Weakly Interacting Pulses in Synaptically Coupled Neural Media.
SIAM Journal of Applied Mathematics, 2005

Spontaneous symmetry breaking in self-organizing neural fields.
Biological Cybernetics, 2005

2004
Front Bifurcations in an Excitatory Neural Network.
SIAM Journal of Applied Mathematics, 2004

Euclidean Shift-Twist Symmetry in Population Models of Self-Aligning Objects.
SIAM Journal of Applied Mathematics, 2004

Breathing Pulses in an Excitatory Neural Network.
SIAM J. Applied Dynamical Systems, 2004

2002
What Geometric Visual Hallucinations Tell Us about the Visual Cortex.
Neural Computation, 2002

An Amplitude Equation Approach to Contextual Effects in Visual Cortex.
Neural Computation, 2002

Visual cortex and the Retinex algorithm.
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.
SIAM Journal of Applied Mathematics, 2000

Solitary Waves in a Model of Dendritic Cable with Active Spines.
SIAM Journal of Applied Mathematics, 2000

A Phase Model of Temperature-Dependent Mammalian Cold Receptors.
Neural Computation, 2000

Dynamics of Strongly Coupled Spiking Neurons.
Neural Computation, 2000

Dynamical Mechanism for Sharp Orientation Tuning in an Integrate-and-Fire Model of a Cortical Hypercolumn.
Neural Computation, 2000

1999
Resonantlike Synchronization and Bursting in a Model of Pulse-Coupled Neurons with Active Dendrites.
Journal of Computational Neuroscience, 1999

1995
Integro-differential equations and the stability of neural networks with dendritic structure.
Biological Cybernetics, 1995

1994
Dynamics of compartmental model neurons.
Neural Networks, 1994

Learning Temporal Sequences from Examples in a Local Feedback Neural Network.
Int. J. Neural Syst., 1994

1993
Compartmental-model response function for dendritic trees.
Biological Cybernetics, 1993

1992
Analysis of associative reinforcement learning in neural networks using iterated function systems.
IEEE Trans. Systems, Man, and Cybernetics, 1992

1991
Discrete time leaky integrator network with synaptic noise.
Neural Networks, 1991


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