Mark A. Kramer

发表

James F. Davis, James K. McDowell, Mark A. Kramer, 1991, IEEE Expert.

Quantitative approximation of the cortical surface potential from EEG and ECoG measurements

Mark A. Kramer, Andrew J. Szeri, M. Kramer, 2004, IEEE Transactions on Biomedical Engineering.

Mark A. Kramer, M. Kramer, 2012 .

An active method for tracking connectivity in temporally changing brain networks

ShiNung Ching, Mark A. Kramer, Kyle Q. Lepage, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

EEG functional connectivity is partially predicted by underlying white matter connectivity

Matti S. Hämäläinen, Sydney S. Cash, Mark A. Kramer, 2015, NeuroImage.

REPLY TO SACKS AND DOYLE, “PROLEGOMENA TO ANY FUTURE QUALITATIVE PHYSICS”

Mark A. Kramer, 1992, Comput. Intell..

A procedure for testing across-condition rhythmic spike-field association change

Mark A. Kramer, Uri T. Eden, Stephen J. Gotts, 2012, Journal of Neuroscience Methods.

Inferring evoked brain connectivity through adaptive perturbation

ShiNung Ching, Mark A. Kramer, Kyle Q. Lepage, 2012, Journal of Computational Neuroscience.

Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models

Mark A. Kramer, Uri T. Eden, Jacob Østergaard, 2018, Neural Computation.

Rhythm Generation through Period Concatenation in Rat Somatosensory Cortex

Roger D. Traub, Miles A. Whittington, Nancy Kopell, 2008, PLoS Comput. Biol..

A Photorefractive Ring Resonator Optical Associative Memory.

Mark A. Kramer, Paul A. Laferriere, Charles J. Wetterrer, 1995 .

Self-Selection Bias in Reputation Systems

Mark A. Kramer, 2007, IFIPTM.

Successful Reconstruction of a Physiological Circuit with Known Connectivity from Spiking Activity Alone

Eve Marder, Felipe Gerhard, Mark A. Kramer, 2013, PLoS Comput. Biol..

The simultaneous solution and sensitivity analysis of systems described by ordinary differential equations

Mark A. Kramer, J. R. Leis, Jorge R. Leis, 1988, TOMS.

A semi-automated method for rapid detection of ripple events on interictal voltage discharges in the scalp electroencephalogram

Kevin J. Staley, Dan Song, Mark A. Kramer, 2017, Journal of Neuroscience Methods.

Mechanisms of seizure propagation in a cortical model

Mark A. Kramer, Andrew J. Szeri, Jamie W. Sleigh, 2007, Journal of Computational Neuroscience.

Temporal Interactions between Cortical Rhythms

Marcus Kaiser, Roger D. Traub, Miles A. Whittington, 2008, Front. Neurosci..

Using radial basis functions to approximate a function and its error bounds

Lyle H. Ungar, Mark A. Kramer, J. A. Leonard, 1992, IEEE Trans. Neural Networks.

Algorithm 658: ODESSA–an ordinary differential equation solver with explicit simultaneous sensitivity analysis

Mark A. Kramer, J. R. Leis, Jorge R. Leis, 1988, TOMS.

Some Sampling Properties of Common Phase Estimators

Mark A. Kramer, Uri T. Eden, Kyle Q. Lepage, 2013, Neural Computation.

Qualitative Analysis of Causal Feedback

Mark A. Kramer, Philippe Rose, 1991, AAAI.

Active tracking of a ballistic missile in the boost phase

Charles Higgs, Mark A. Kramer, Shawn D. O'Keefe, 1996, Defense, Security, and Sensing.

The Dependence of Spike Field Coherence on Expected Intensity

Mark A. Kramer, Uri T. Eden, Kyle Q. Lepage, 2011, Neural Computation.

A Biologically Constrained, Mathematical Model of Cortical Wave Propagation Preceding Seizure Termination

Sydney S. Cash, Mark A. Kramer, C. Eugene Wayne, 2015, PLoS Comput. Biol..

Human Neuroscience

Miles A. Whittington, Nancy Kopell, Mark A. Kramer, 2022 .

Synchronization Measures of the Scalp Electroencephalogram Can Discriminate Healthy from Alzheimer's Subjects

Donna L. Hudson, Maurice E. Cohen, Mark A. Kramer, 2007, Int. J. Neural Syst..

Diagnosing dynamic faults using modular neural nets

Mark A. Kramer, J. A. Leonard, James A. Leonard, 1993, IEEE Expert.

Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses

Frank H. Guenther, Gerwin Schalk, Peter Brunner, 2014, Front. Comput. Neurosci..

A statistical modeling framework to assess cross-frequency coupling while accounting for confounding effects

Mark A. Kramer, Uri T. Eden, Alik S. Widge, 2019, bioRxiv.

The effect of inhibition on the existence of traveling wave solutions for a neural field model of human seizure termination

Mark A. Kramer, Laura R. González-Ramírez, M. Kramer, 2018, Journal of Computational Neuroscience.

Inferring the Type of Phase Transitions Undergone in Epileptic Seizures Using Random Graph Hidden Markov Models for Percolation in Noisy Dynamic Networks

Eric D. Kolaczyk, Mark A. Kramer, Xiaojing Zhu, 2021 .

Estimating state probability distributions from noisy and corrupted data

Mark A. Kramer, Lloyd P. M. Johnston, M. Kramer, 1998 .

of Statistics and Its Application Computational Neuroscience : Mathematical and Statistical Perspectives

Emery N. Brown, Sonja Grün, Tomoki Fukai, 2018 .

Physiology of functional and effective networks in epilepsy

Sridevi V. Sarma, Ashesh D. Mehta, Sabato Santaniello, 2015, Clinical Neurophysiology.

A statistically robust EEG re-referencing procedure to mitigate reference effect

Mark A. Kramer, Kyle Q. Lepage, Catherine J. Chu, 2014, Journal of Neuroscience Methods.

Sensitivity analysis of limit cycles with application to the Brusselator

Mark A. Kramer, Herschel Rabitz, M. Kramer, 1984 .

Probability density estimation using elliptical basis functions

Mark A. Kramer, Lloyd P. M. Johnston, M. Kramer, 1994 .

Cortical Networks Produce Three Distinct 7–12 Hz Rhythms during Single Sensory Responses in the Awake Rat

Mark A. Kramer, Donald B. Katz, Alfredo Fontanini, 2010, The Journal of Neuroscience.

Rate-adjusted spike–LFP coherence comparisons from spike-train statistics

Mark A. Kramer, Uri T. Eden, Mikio C. Aoi, 2015, Journal of Neuroscience Methods.

Drawing inferences from Fano factor calculations

Mark A. Kramer, Uri T. Eden, M. Kramer, 2010, Journal of Neuroscience Methods.

Dynamic connectivity modulates local activity in the core regions of the default-mode network

Linda Douw, Matti S. Hämäläinen, Mark A. Kramer, 2017, Proceedings of the National Academy of Sciences.

Qualitative simulation of chemical process systems: Steady‐state analysis

O. O. Oyeleye, Mark A. Kramer, M. Kramer, 1988 .

Robust disruptions in electroencephalogram cortical oscillations and large-scale functional networks in autism

Mark A. Kramer, Catherine J. Chu, M. Kramer, 2015, BMC Neurology.

Sensitivity analysis of systems of differential and algebraic equations

Mark A. Kramer, J. R. Leis, Jorge R. Leis, 1985 .

An improved computational method for sensitivity analysis: Green's function method with ‘AIM’

Joseph M. Calo, Mark A. Kramer, Herschel Rabitz, 1981 .

Sensitivity analysis in chemical kinetics: Recent developments and computational comparisons

Joseph M. Calo, Mark A. Kramer, Robert J. Kee, 1984 .