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ORCIDPaul C. Bressloff
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2020 – today
- 2023
[j65]Ryan D. Schumm, Paul C. Bressloff:
A numerical method for solving snapping out Brownian motion in 2D bounded domains. J. Comput. Phys. 493: 112479 (2023)- [j64]Paul C. Bressloff
:
The 3D Narrow Capture Problem for Traps with Semipermeable Interfaces. Multiscale Model. Simul. 21(3): 1268-1298 (2023) - [j63]Paul C. Bressloff:
Accumulation Time of Diffusion in a 3D Singularly Perturbed Domain. SIAM J. Appl. Math. 83(2): 862-881 (2023) - [j62]Paul C. Bressloff:
Renewal Equations for Single-Particle Diffusion in Multilayered Media. SIAM J. Appl. Math. 83(4): 1518-1545 (2023) - 2022
- [j61]Paul C. Bressloff, Ryan D. Schumm:
The Narrow Capture Problem with Partially Absorbing Targets and Stochastic Resetting. Multiscale Model. Simul. 20(1): 857-881 (2022) - 2021
- [j60]Paul C. Bressloff:
Asymptotic Analysis of Target Fluxes in the Three-Dimensional Narrow Capture Problem. Multiscale Model. Simul. 19(2): 612-632 (2021) - [j59]Paul C. Bressloff:
Directional Search-and-Capture Model of Cytoneme-Based Morphogenesis. SIAM J. Appl. Math. 81(3): 919-938 (2021) - 2020
- [j58]Patrick Murphy, Paul C. Bressloff, Sean D. Lawley:
Interaction Between Switching Diffusivities and Cellular Microstructure. Multiscale Model. Simul. 18(2): 572-588 (2020) - [j57]Paul C. Bressloff, James N. MacLaurin:
Phase Reduction of Stochastic Biochemical Oscillators. SIAM J. Appl. Dyn. Syst. 19(1): 151-180 (2020) - [j56]Paul C. Bressloff, Sean D. Lawley, Patrick Murphy:
Effective Permeability of a Gap Junction with Age-Structured Switching. SIAM J. Appl. Math. 80(1): 312-337 (2020)
2010 – 2019
- 2019
- [j55]Paul C. Bressloff:
Stochastic neural field model of stimulus-dependent variability in cortical neurons. PLoS Comput. Biol. 15(3) (2019) - [j54]Gaoyang Fan, Giovanni Russo, Paul C. Bressloff:
Node-to-Node and Node-to-Medium Synchronization in Quorum Sensing Networks Affected by State-Dependent Noise. SIAM J. Appl. Dyn. Syst. 18(4): 1934-1953 (2019) - 2018
- [j53]Ethan Levien, Paul C. Bressloff:
Robustness of Stochastic Chemical Reaction Networks to Extrinsic Noise: The Role of Deficiency. Multiscale Model. Simul. 16(4): 1519-1541 (2018) - [j52]Samuel R. Carroll, Paul C. Bressloff:
Symmetric Bifurcations in a Neural Field Model for Encoding the Direction of Spatial Contrast Gradients. SIAM J. Appl. Dyn. Syst. 17(1): 1-51 (2018) - [j51]Paul C. Bressloff, James MacLaurin:
A Variational Method for Analyzing Stochastic Limit Cycle Oscillators. SIAM J. Appl. Dyn. Syst. 17(3): 2205-2233 (2018) - [j50]Paul C. Bressloff, Bhargav R. Karamched:
Doubly Stochastic Poisson Model of Flagellar Length Control. SIAM J. Appl. Math. 78(2): 719-741 (2018) - [j49]Hyunjoong Kim, Paul C. Bressloff:
Direct vs. Synaptic Coupling in a Mathematical Model of Cytoneme-Based Morphogen Gradient Formation. SIAM J. Appl. Math. 78(5): 2323-2347 (2018) - 2017
- [j48]Ethan Levien, Paul C. Bressloff:
Coupling sample paths to the thermodynamic limit in Monte Carlo estimators with applications to gene expression. J. Comput. Phys. 346: 1-13 (2017) - [j47]Paul C. Bressloff, Sean D. Lawley:
Dynamically Active Compartments Coupled by a Stochastically Gated Gap Junction. J. Nonlinear Sci. 27(5): 1487-1512 (2017) - 2016
- [j46]Ethan Levien, Paul C. Bressloff:
A Stochastic Hybrid Framework for Obtaining Statistics of Many Random Walkers in a Switching Environment. Multiscale Model. Simul. 14(4): 1417-1433 (2016) - [j45]Samuel R. Carroll, Paul C. Bressloff:
Phase Equation for Patterns of Orientation Selectivity in a Neural Field Model of Visual Cortex. SIAM J. Appl. Dyn. Syst. 15(1): 60-83 (2016) - [j44]Heather A. Brooks, Paul C. Bressloff:
A Mechanism for Turing Pattern Formation with Active and Passive Transport. SIAM J. Appl. Dyn. Syst. 15(4): 1823-1843 (2016) - [j43]Paul C. Bressloff:
Diffusion in Cells with Stochastically Gated Gap Junctions. SIAM J. Appl. Math. 76(4): 1658-1682 (2016) - [j42]Bin Xu, Paul C. Bressloff:
A PDE-DDE Model for Cell Polarization in Fission Yeast. SIAM J. Appl. Math. 76(5): 1844-1870 (2016) - 2015
- [j41]Paul C. Bressloff, Sean D. Lawley:
Escape from Subcellular Domains with Randomly Switching Boundaries. Multiscale Model. Simul. 13(4): 1420-1445 (2015) - [j40]Paul C. Bressloff, Samuel R. Carroll:
Laminar Neural Field Model of Laterally Propagating Waves of Orientation Selectivity. PLoS Comput. Biol. 11(10) (2015) - [j39]Paul C. Bressloff, Zachary P. Kilpatrick:
Nonlinear Langevin Equations for Wandering Patterns in Stochastic Neural Fields. SIAM J. Appl. Dyn. Syst. 14(1): 305-334 (2015) - [j38]Paul C. Bressloff, Bin Xu:
Stochastic Active-Transport Model of Cell Polarization. SIAM J. Appl. Math. 75(2): 652-678 (2015) - 2014
- [j37]Paul C. Bressloff, Samuel R. Carroll:
Spatiotemporal Dynamics of Neural Fields on Product Spaces. SIAM J. Appl. Dyn. Syst. 13(4): 1620-1653 (2014) - [r1]Paul C. Bressloff:
Stochastic Neural Field Theory. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j36]Paul C. Bressloff, Stephen Coombes:
Neural 'Bubble' Dynamics Revisited. Cogn. Comput. 5(3): 281-294 (2013) - [j35]Paul C. Bressloff, Jay M. Newby:
Metastability in a Stochastic Neural Network Modeled as a Velocity Jump Markov Process. SIAM J. Appl. Dyn. Syst. 12(3): 1394-1435 (2013) - 2012
- [j34]Paul C. Bressloff, Jeremy Wilkerson:
Traveling pulses in a stochastic neural field model of direction selectivity. Frontiers Comput. Neurosci. 6: 90 (2012) - [j33]Paul C. Bressloff, Matthew A. Webber:
Neural field model of binocular rivalry waves. J. Comput. Neurosci. 32(2): 233-252 (2012) - [j32]Mathieu Galtier, Olivier D. Faugeras, Paul C. Bressloff:
Hebbian Learning of Recurrent Connections: A Geometrical Perspective. Neural Comput. 24(9): 2346-2383 (2012) - [j31]Paul C. Bressloff, Matthew A. Webber:
Front Propagation in Stochastic Neural Fields. SIAM J. Appl. Dyn. Syst. 11(2): 708-740 (2012) - 2011
- [j30]Paul C. Bressloff, Zachary P. Kilpatrick:
Two-Dimensional Bumps in Piecewise Smooth Neural Fields with Synaptic Depression. SIAM J. Appl. Math. 71(2): 379-408 (2011) - 2010
- [j29]Berton A. Earnshaw, Paul C. Bressloff:
A diffusion-activation model of CaMKII translocation waves in dendrites. J. Comput. Neurosci. 28(1): 77-89 (2010) - [j28]Zachary P. Kilpatrick, Paul C. Bressloff:
Spatially structured oscillations in a two-dimensional excitatory neuronal network with synaptic depression. J. Comput. Neurosci. 28(2): 193-209 (2010) - [j27]Zachary P. Kilpatrick, Paul C. Bressloff:
Binocular Rivalry in a Competitive Neural Network with Synaptic Depression. SIAM J. Appl. Dyn. Syst. 9(4): 1303-1347 (2010)
2000 – 2009
- 2009
- [j26]William H. Nesse, Alla Borisyuk, Paul C. Bressloff:
Fluctuation-driven rhythmogenesis in an excitatory neuronal network with slow adaptation. J. Comput. Neurosci. 26(1): 157 (2009) - [j25]Paul C. Bressloff:
Stochastic Neural Field Theory and the System-Size Expansion. SIAM J. Appl. Math. 70(5): 1488-1521 (2009) - 2008
- [j24]William H. Nesse, Alla Borisyuk, Paul C. Bressloff:
Fluctuation-driven rhythmogenesis in an excitatory neuronal network with slow adaptation. J. Comput. Neurosci. 25(2): 317-333 (2008) - [j23]Berton A. Earnshaw, Paul C. Bressloff:
Modeling the role of lateral membrane diffusion in AMPA receptor trafficking along a spiny dendrite. J. Comput. Neurosci. 25(2): 366-389 (2008) - [j22]Zachary P. Kilpatrick, Stefanos E. Folias, Paul C. Bressloff:
Traveling Pulses and Wave Propagation Failure in Inhomogeneous Neural Media. SIAM J. Appl. Dyn. Syst. 7(1): 161-185 (2008) - [j21]Paul C. Bressloff, Berton A. Earnshaw, Michael Jeffrey Ward:
Diffusion of Protein Receptors on a Cylindrical Dendritic Membrane with Partially Absorbing Traps. SIAM J. Appl. Math. 68(5): 1223-1246 (2008) - 2005
- [j20]Paul C. Bressloff:
Spontaneous symmetry breaking in self-organizing neural fields. Biol. Cybern. 93(4): 256-274 (2005) - [j19]Stefanos E. Folias, Paul C. Bressloff:
Stimulus-Locked Traveling Waves and Breathers in an Excitatory Neural Network. SIAM J. Appl. Math. 65(6): 2067-2092 (2005) - [j18]Paul C. Bressloff:
Weakly Interacting Pulses in Synaptically Coupled Neural Media. SIAM J. Appl. Math. 66(1): 57-81 (2005) - 2004
- [j17]Stefanos E. Folias, Paul C. Bressloff:
Breathing Pulses in an Excitatory Neural Network. SIAM J. Appl. Dyn. Syst. 3(3): 378-407 (2004) - [j16]Paul C. Bressloff:
Euclidean Shift-Twist Symmetry in Population Models of Self-Aligning Objects. SIAM J. Appl. Math. 64(5): 1668-1690 (2004) - [j15]Paul C. Bressloff, Stefanos E. Folias:
Front Bifurcations in an Excitatory Neural Network. SIAM J. Appl. Math. 65(1): 131-151 (2004) - 2002
- [j14]Paul C. Bressloff, Jack D. Cowan, Martin Golubitsky, Peter J. Thomas, Matthew C. Wiener:
What Geometric Visual Hallucinations Tell Us about the Visual Cortex. Neural Comput. 14(3): 473-491 (2002) - [j13]Paul C. Bressloff, Jack D. Cowan:
An Amplitude Equation Approach to Contextual Effects in Visual Cortex. Neural Comput. 14(3): 493-525 (2002) - [c1]Jack D. Cowan, Paul C. Bressloff:
Visual cortex and the Retinex algorithm. Human Vision and Electronic Imaging 2002: 278-285 - 2000
- [j12]Paul C. Bressloff, Stephen Coombes:
Dynamics of Strongly Coupled Spiking Neurons. Neural Comput. 12(1): 91-129 (2000) - [j11]Peter Roper, Paul C. Bressloff, André Longtin:
A Phase Model of Temperature-Dependent Mammalian Cold Receptors. Neural Comput. 12(5): 1067-1093 (2000) - [j10]Paul C. Bressloff, Neil W. Bressloff, Jack D. Cowan:
Dynamical Mechanism for Sharp Orientation Tuning in an Integrate-and-Fire Model of a Cortical Hypercolumn. Neural Comput. 12(11): 2473-2511 (2000) - [j9]Paul C. Bressloff, Stephen Coombes:
A Dynamical Theory of Spike Train Transitions in Networks of Integrate-and-Fire Oscillators. SIAM J. Appl. Math. 60(3): 820-841 (2000) - [j8]Paul C. Bressloff, Stephen Coombes:
Solitary Waves in a Model of Dendritic Cable with Active Spines. SIAM J. Appl. Math. 61(2): 432-453 (2000) - [p1]Paul C. Bressloff, Peter Roper:
Stochastic Resonance and Bursting in a Binary-Threshold Neuron with Intrinsic Noise. Information Theory and the Brain 2000: 290-304
1990 – 1999
- 1999
- [j7]Paul C. Bressloff:
Resonantlike Synchronization and Bursting in a Model of Pulse-Coupled Neurons with Active Dendrites. J. Comput. Neurosci. 6(3): 237-249 (1999) - 1995
- [j6]Paul C. Bressloff:
Integro-differential equations and the stability of neural networks with dendritic structure. Biol. Cybern. 73(3): 281-290 (1995) - 1994
- [j5]Paul C. Bressloff:
Learning Temporal Sequences from Examples in a Local Feedback Neural Network. Int. J. Neural Syst. 5(1): 49-58 (1994) - [j4]Paul C. Bressloff, John G. Taylor:
Dynamics of compartmental model neurons. Neural Networks 7(6-7): 1153-1165 (1994) - 1993
- [j3]Paul C. Bressloff, John G. Taylor:
Compartmental-model response function for dendritic trees. Biol. Cybern. 70(2): 199-207 (1993) - 1992
- [j2]Paul C. Bressloff, Jaroslav Stark:
Analysis of associative reinforcement learning in neural networks using iterated function systems. IEEE Trans. Syst. Man Cybern. 22(6): 1348-1360 (1992) - 1991
- [j1]Paul C. Bressloff, John G. Taylor:
Discrete time leaky integrator network with synaptic noise. Neural Networks 4(6): 789-801 (1991)
Coauthor Index
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