Mark A. Kramer - researchr alias

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Viewing Publication 1 - 27 from 27

2024

A General, Noise-Driven Mechanism for the 1/f-Like Behavior of Neural Field SpectraMark A. Kramer, Catherine Jean Chu. neco, 36(8):1643-1668, 2024. [doi]

2023

Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizuresXiaojing Zhu, Heather Shappell, Mark A. Kramer, Catherine Jean Chu, Eric D. Kolaczyk. ploscb, 19(6), 2023. [doi]

2022

Reducing FHIR "Profiliferation": A Data-Driven ApproachMark A. Kramer. amia 2022: [doi]

2018

The effect of inhibition on the existence of traveling wave solutions for a neural field model of human seizure terminationLaura R. González-Ramírez, Mark A. Kramer. jcns, 44(3):393-409, 2018. [doi]

Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear ModelsJacob Østergaard, Mark A. Kramer, Uri T. Eden. neco, 30(1), 2018. [doi]

2015

2014

Assessing dynamics, spatial scale, and uncertainty in task-related brain network analysesEmily Patricia Stephen, Kyle Q. Lepage, Uri T. Eden, Peter Brunner, Gerwin Schalk, Jonathan S. Brumberg, Frank H. Guenther, Mark A. Kramer. ficn, 2014:31, 2014. [doi]

2013

2011

The Dependence of Spike Field Coherence on Expected IntensityKyle Q. Lepage, Mark A. Kramer, Uri T. Eden. neco, 23(9):2209-2241, 2011. [doi]

2008

Rhythm Generation through Period Concatenation in Rat Somatosensory CortexMark A. Kramer, Anita K. Roopun, Lucy M. Carracedo, Roger D. Traub, Miles A. Whittington, Nancy Kopell. ploscb, 4(9), 2008. [doi]

2007

Self-Selection Bias in Reputation SystemsMark A. Kramer. ifiptm 2007: 255-268 [doi]

Mechanisms of seizure propagation in a cortical modelMark A. Kramer, Andrew J. Szeri, James W. Sleigh, Heidi E. Kirsch. jcns, 22(1):63-80, 2007. [doi]

Synchronization Measures of the Scalp Electroencephalogram Can Discriminate Healthy from Alzheimer s SubjectsMark A. Kramer, Fen-Lei Chang, Maurice E. Cohen, Donna L. Hudson, Andrew J. Szeri. IJNS, 17(2):61-69, 2007. [doi]

2004

Quantitative approximation of the cortical surface potential from EEG and ECoG measurementsMark A. Kramer, Andrew J. Szeri. tbe, 51(8):1358-1365, 2004. [doi]

1996

An Evolutionary Computing Approach to Probabilistic Reasoning on Bayesian NetworksCarlos Rojas-Guzmán, Mark A. Kramer. ec, 4(1):57-85, 1996.

1993

Diagnosing Dynamic Faults Using Modular Neural NetsJames A. Leonard, Mark A. Kramer. expert, 8(2):44-53, 1993. [doi]

GALGO: A Genetic ALGOrithm Decision Support Tool for Complex Uncertain Systems Modeled with Bayesian Belief NetworksCarlos Rojas-Guzmán, Mark A. Kramer. uai 1993: 368-375 [doi]

1992

Reply to Sacks and Doyle s, Prolegomena to Any Future Qualitative PhysicsMark A. Kramer. ci, 8:284-285, 1992.

Using radial basis functions to approximate a function and its error boundsJames A. Leonard, Mark A. Kramer, Lyle H. Ungar. tnn, 3(4):624-627, 1992. [doi]

1991

Guest Editor s IntroductionJames K. McDowell, Mark A. Kramer, James F. Davis. expert, 6(3):65-66, 1991. [doi]

Qualitative Analysis of Causal FeedbackPhilippe Rose, Mark A. Kramer. AAAI 1991: 817-823

1988

Algorithm 658: ODESSA-an ordinary differential equation solver with explicit simultaneous sensitivity analysisJorge R. Leis, Mark A. Kramer. TOMS, 14(1):61-67, 1988. [doi]

The simultaneous solution and sensitivity analysis of systems described by ordinary differential equationsJorge R. Leis, Mark A. Kramer. TOMS, 14(1):45-60, 1988. [doi]

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