Stephen Coombes

Orcid: 0000-0003-1610-7665

Affiliations:
  • University of Nottingham, School of Mathematical Sciences, UK


According to our database1, Stephen Coombes authored at least 34 papers between 1993 and 2024.

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

Timeline

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Bibliography

2024
Understanding the effect of white matter delays on large scale brain synchrony.
Commun. Nonlinear Sci. Numer. Simul., April, 2024

2023
Next generation neural population models.
Frontiers Appl. Math. Stat., February, 2023

Oscillatory networks: Insights from piecewise-linear modeling.
CoRR, 2023

2021
Understanding Sensory Induced Hallucinations: From Neural Fields to Amplitude Equations.
SIAM J. Appl. Dyn. Syst., 2021

Neural Fields with Rebound Currents: Novel Routes to Patterning.
SIAM J. Appl. Dyn. Syst., 2021

A dynamic neural field model of continuous input integration.
Biol. Cybern., 2021

2020
Calcium buffers and L-type calcium channels as modulators of cardiac subcellular alternans.
Commun. Nonlinear Sci. Numer. Simul., 2020

Excitable dynamics in neural and cardiac systems.
Commun. Nonlinear Sci. Numer. Simul., 2020

2019
How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes.
NeuroImage, 2019

A master stability function approach to cardiac alternans.
Appl. Netw. Sci., 2019

2017
A mean field model for movement induced changes in the beta rhythm.
J. Comput. Neurosci., 2017

2016
Combining Spatial and Parametric Working Memory in a Dynamic Neural Field Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2013
Neural 'Bubble' Dynamics Revisited.
Cogn. Comput., 2013

2012
Canard-Like Explosion of Limit Cycles in Two-Dimensional Piecewise-Linear Models of FitzHugh-Nagumo Type.
SIAM J. Appl. Dyn. Syst., 2012

Using Evolutionary Algorithms for Fitting High-Dimensional Models to Neuronal Data.
Neuroinformatics, 2012

2010
Large-scale neural dynamics: Simple and complex.
NeuroImage, 2010

2009
Mode Locking in a Spatially Extended Neuron Model: Active Soma and Compartmental Tree.
Int. J. Bifurc. Chaos, 2009

2008
Neuronal Networks with Gap Junctions: A Study of Piecewise Linear Planar Neuron Models.
SIAM J. Appl. Dyn. Syst., 2008

Democratization in a passive dendritic tree: an analytical investigation.
J. Comput. Neurosci., 2008

2007
The role of cannabinoids in the neurobiology of sensory gating: A firing rate model study.
Neurocomputing, 2007

Branching dendrites with resonant membrane: a "sum-over-trips" approach.
Biol. Cybern., 2007

2006
Existence and Wandering of Bumps in a Spiking Neural Network Model.
SIAM J. Appl. Dyn. Syst., 2006

Neural fields.
Scholarpedia, 2006

Spatio-temporal filtering properties of a dendritic cable with active spines: A modeling study in the spike-diffuse-spike framework.
J. Comput. Neurosci., 2006

Dendritic cable with active spines: A modelling study in the spike-diffuse-spike framework.
Neurocomputing, 2006

2005
Mode Locking in a Periodically Forced "ghostbursting" Neuron Model.
Int. J. Bifurc. Chaos, 2005

Waves, bumps, and patterns in neural field theories.
Biol. Cybern., 2005

2004
Evans Functions for Integral Neural Field Equations with Heaviside Firing Rate Function.
SIAM J. Appl. Dyn. Syst., 2004

2000
A Dynamical Theory of Spike Train Transitions in Networks of Integrate-and-Fire Oscillators.
SIAM J. Appl. Math., 2000

Solitary Waves in a Model of Dendritic Cable with Active Spines.
SIAM J. Appl. Math., 2000

Dynamics of Strongly Coupled Spiking Neurons.
Neural Comput., 2000

1996
Using Features for the Storage of Patterns in a Fully Connected Net.
Neural Networks, 1996

1995
A Constructive Algorithm for Building a Feed-Forward Neural Network.
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

1993
Learning higher order correlations.
Neural Networks, 1993


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