Tomás Gedeon

According to our database, Tomás Gedeon authored at least 41 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Oscillator death in coupled biochemical oscillators.

Tomás Gedeon, Breschine Cummins

Math. Control. Signals Syst., December, 2023

2022

Experimental guidance for discovering genetic networks through hypothesis reduction on time series.

Breschine Cummins, Francis C. Motta, Robert C. Moseley, Anastasia Deckard, Sophia Campione, Marcio Gameiro, Tomás Gedeon, Konstantin Mischaikow, Steven B. Haase

PLoS Comput. Biol., October, 2022

Extending Combinatorial Regulatory Network Modeling to Include Activity Control and Decay Modulation.

Bree Cummins, Marcio Gameiro, Tomás Gedeon, Shane Kepley, Konstantin Mischaikow, Lun Zhang

SIAM J. Appl. Dyn. Syst., September, 2022

Joint realizability of monotone Boolean functions.

Peter Crawford-Kahrl, Bree Cummins, Tomás Gedeon

Theor. Comput. Sci., 2022

The Lack of Convexity of the Relevance-Compression Function.

Albert E. Parker, Tomás Gedeon, Alexander Dimitrov

CoRR, 2022

Extremal Event Graphs: A (Stable) Tool for Analyzing Noisy Time Series Data.

Robin Belton, Bree Cummins, Brittany Terese Fasy, Tomás Gedeon

CoRR, 2022

2021

Equilibria and their Stability in Networks with Steep Sigmoidal Nonlinearities.

William D. Kalies, Tomás Gedeon, Hiroshi Kokubu, Konstantin Mischaikow, Hiroe Oka

SIAM J. Appl. Dyn. Syst., 2021

Rational design of complex phenotype via network models.

Marcio Gameiro, Tomás Gedeon, Shane Kepley, Konstantin Mischaikow

PLoS Comput. Biol., 2021

Trade-offs among transcription elongation rate, number, and duration of ubiquitous pauses on highly transcribed bacterial genes.

Tomás Gedeon, Lisa Davis, Katelyn Weber, Jennifer Thorenson

J. Bioinform. Comput. Biol., 2021

Stability and Bifurcations of Equilibria in Networks with Piecewise Linear Interactions.

William Duncan, Tomás Gedeon

Int. J. Bifurc. Chaos, 2021

2020

Analysis of Dynamics of a Biphasic Isothermal DNA Amplification Reaction.

Danielle Ciesielski, Stephanie McCalla, Tomás Gedeon

SIAM J. Appl. Math., 2020

Multistability in the epithelial-mesenchymal transition network.

Ying Xin, Bree Cummins, Tomás Gedeon

BMC Bioinform., 2020

Multi-parameter exploration of dynamics of regulatory networks.

Tomás Gedeon

Biosyst., 2020

2019

Comparison of Combinatorial Signatures of Global Network Dynamics Generated by Two Classes of ODE Models.

Peter Crawford-Kahrl, Bree Cummins, Tomás Gedeon

SIAM J. Appl. Dyn. Syst., 2019

A poset metric from the directed maximum common edge subgraph.

Robert Nerem, Peter Crawford-Kahrl, Bree Cummins, Tomás Gedeon

CoRR, 2019

2018

Model Rejection and Parameter Reduction via Time Series.

Bree Cummins, Tomás Gedeon, Shaun Harker, Konstantin Mischaikow

SIAM J. Appl. Dyn. Syst., 2018

Identifying robust hysteresis in networks.

Tomás Gedeon, Bree Cummins, Shaun Harker, Konstantin Mischaikow

PLoS Comput. Biol., 2018

2017

Database of Dynamic Signatures Generated by Regulatory Networks (DSGRN).

Bree Cummins, Tomás Gedeon, Shaun Harker, Konstantin Mischaikow

Proceedings of the Computational Methods in Systems Biology, 2017

2016

Combinatorial Representation of Parameter Space for Switching Networks.

Bree Cummins, Tomás Gedeon, Shaun Harker, Konstantin Mischaikow, Kafung Mok

SIAM J. Appl. Dyn. Syst., 2016

A Mechanistic Model for Cooperative Behavior of Co-transcribing RNA Polymerases.

Tamra Heberling, Lisa Davis, Jakub Gedeon, Charles Morgan, Tomás Gedeon

PLoS Comput. Biol., 2016

2015

On the Efficacy of State Space Reconstruction Methods in Determining Causality.

Bree Cummins, Tomás Gedeon, Kelly Spendlove

SIAM J. Appl. Dyn. Syst., 2015

2012

Using machine learning to predict catastrophes in dynamical systems.

Jesse Berwald, Tomás Gedeon, John W. Sheppard

J. Comput. Appl. Math., 2012

The Mathematical Structure of Information Bottleneck Methods.

Tomás Gedeon, Albert E. Parker, Alexander G. Dimitrov

Entropy, 2012

2011

Temporal Encoding in a Nervous System.

Zane N. Aldworth, Alexander G. Dimitrov, Graham I. Cummins, Tomás Gedeon, John P. Miller

PLoS Comput. Biol., 2011

On the movement of vertex fixed points in the simple GA.

Alden H. Wright, Tomás Gedeon, J. Neal Richter

Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

2010

Symmetry breaking in soft clustering decoding of neural codes.

Albert E. Parker, Alexander G. Dimitrov, Tomás Gedeon

IEEE Trans. Inf. Theory, 2010

Hyperbolicity of the fixed point set for the simple genetic algorithm.

Christina Hayes, Tomás Gedeon

Theor. Comput. Sci., 2010

Oscillations in Monotone Systems with a Negative Feedback.

Tomás Gedeon

SIAM J. Appl. Dyn. Syst., 2010

Somitogenesis Clock-Wave Initiation Requires Differential Decay and Multiple Binding Sites for Clock Protein.

Mark Campanelli, Tomás Gedeon

PLoS Comput. Biol., 2010

Modeling Complexity of Physiological Time Series In-Silico.

Jesse Berwald, Tomás Gedeon, Konstantin Mischaikow

Proceedings of the BIOSIGNALS 2010, 2010

2008

Annealing and the normalized N-cut.

Tomás Gedeon, Albert E. Parker, Collette Campion, Zane N. Aldworth

Pattern Recognit., 2008

2007

Analysis of Constrained Optimization Variants of the Map-Seeking Circuit Algorithm.

S. R. Harker, Curtis R. Vogel, Tomás Gedeon

J. Math. Imaging Vis., 2007

Convergence of Map Seeking Circuits.

Tomás Gedeon, David Arathorn

J. Math. Imaging Vis., 2007

Genericity of the Fixed Point Set for the Infinite Population Genetic Algorithm.

Tomás Gedeon, Christina Hayes, Richard Swanson

Proceedings of the Foundations of Genetic Algorithms, 9th International Workshop, 2007

2006

Effects of stimulus transformations on estimates of sensory neuron selectivity.

Alexander G. Dimitrov, Tomás Gedeon

J. Comput. Neurosci., 2006

2005

Hyperbolic fixed points are typical in the space of mixing operators for the infinite population genetic algorithm.

Christina Hayes, Tomás Gedeon

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004

Finding neural codes using random projections.

Brendan Mumey, Aditi Sarkar, Tomás Gedeon, Alexander Dimitrov, John P. Miller

Neurocomputing, 2004

2003

Derivation of Natural Stimulus Feature Set Using a Data-Driven Model.

Alexander Dimitrov, Tomás Gedeon, Brendan Mumey, Ross Snider, Albert E. Parker, John P. Miller

Proceedings of the Computational Science - ICCS 2003, 2003

2002

Annealing and the Rate Distortion Problem.

Albert E. Parker, Tomás Gedeon, Alexander Dimitrov

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Non-uniform quantization of neural spike sequences through an information distortion measure.

Alexander Dimitrov, John P. Miller, Zane N. Aldworth, Tomás Gedeon

Neurocomputing, 2001

1999

Additive neural networks and periodic patterns.

Tomás Gedeon

Neural Networks, 1999