Mark A. Kramer
According to our database1,
Mark A. Kramer
authored at least 29 papers
between 1988 and 2024.
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Bibliography
2024
Neural Comput., 2024
Harnessing AI for efficient analysis of complex policy documents: a case study of Executive Order 14110.
CoRR, 2024
2023
Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizures.
PLoS Comput. Biol., 2023
2022
Proceedings of the AMIA 2022, 2022
2018
Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models.
Neural Comput., 2018
The effect of inhibition on the existence of traveling wave solutions for a neural field model of human seizure termination.
J. Comput. Neurosci., 2018
2017
Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2015
A Biologically Constrained, Mathematical Model of Cortical Wave Propagation Preceding Seizure Termination.
PLoS Comput. Biol., 2015
EEG functional connectivity is partially predicted by underlying white matter connectivity.
NeuroImage, 2015
2014
Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses.
Frontiers Comput. Neurosci., 2014
2013
Successful Reconstruction of a Physiological Circuit with Known Connectivity from Spiking Activity Alone.
PLoS Comput. Biol., 2013
J. Comput. Neurosci., 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2011
2008
PLoS Comput. Biol., 2008
2007
Synchronization Measures of the Scalp Electroencephalogram Can Discriminate Healthy from Alzheimer's Subjects.
Int. J. Neural Syst., 2007
2004
Quantitative approximation of the cortical surface potential from EEG and ECoG measurements.
IEEE Trans. Biomed. Eng., 2004
1996
Evol. Comput., 1996
1993
GALGO: A Genetic ALGOrithm Decision Support Tool for Complex Uncertain Systems Modeled with Bayesian Belief Networks.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993
1992
IEEE Trans. Neural Networks, 1992
Comput. Intell., 1992
1991
Proceedings of the 9th National Conference on Artificial Intelligence, 1991
1988
Algorithm 658: ODESSA-an ordinary differential equation solver with explicit simultaneous sensitivity analysis.
ACM Trans. Math. Softw., 1988
The simultaneous solution and sensitivity analysis of systems described by ordinary differential equations.
ACM Trans. Math. Softw., 1988