2022
- Kramer, Golden rhythms as a theoretical framework for cross-frequency organization. Neurons, behavior, data analysis and theory, 2022.
- Schlafly et al., Multiple sources of fast traveling waves during human seizures: resolving a controversy. J Neurosci. 42(36):6966–82, 2022.
- Spencer et al., Longitudinal EEG model detects antisense oligonucleotide treatment effect and increased UBE3A in Angelman syndrome. Brain Commun. 4(3):fcac106, 2022.
- Salami et al., Quantifying seizure termination patterns reveals limited pathways to seizure end. Neurobiol Dis. 165:105645, 2022.
- Shi et al., Spike ripples in striatum correlate with seizure risk in two mouse models. Epilepsy Behav Rep. 18:100529, 2022.
- Spencer et al., Source EEG reveals that Rolandic epilepsy is a regional epileptic encephalopathy. Neuroimage Clin. 33:102956, 2022.
2021
- Wodeyar et al., A
state space modeling approach to real-time phase
estimation. Elife, 10, 2021.
- Stoyell et al., Diazepam induced
sleep spindle increase correlates with cognitive recovery in a
child with epileptic encephalopathy. BMC Neurol, 21(1):355, 2021.
- Nadalin et al., Application
of a convolutional neural network for fully-automated detection of
spike ripples in the scalp electroencephalogram. J Neurosci
Methods, 360:109239, 2021.
- Ostrowski et al., Delta power robustly
predicts cognitive function in Angelman syndrome. Ann Clin Transl
Neurol, 8(7):1433-1445, 2021.
- Kramer et al., Focal Sleep
Spindle Deficits Reveal Focal Thalamocortical Dysfunction and
Predict Cognitive Deficits in Sleep Activated Developmental
Epilepsy. J Neurosci, 41(8):1816-1829, 2021.
2020
- Thorn et al., Persistent abnormalities
in Rolandic thalamocortical white matter circuits in childhood
epilepsy with centrotemporal spikes. Epilepsia, 61(11):2500-2508, 2020.
- Salami et al., Seizure onset location shapes dynamics of initiation. Clin Neurophysiol, 131(8):1782-1797, 2020.
- Martinet et al., Robust dynamic community detection with applications to human brain functional networks. Nat Commun, 11(1):2785, 2020.
- Ross et al., The natural
history of seizures and neuropsychiatric symptoms in childhood
epilepsy with centrotemporal spikes (CECTS). Epilepsy Behav, 103:106437, 2020.
- Stacey et al., Emerging roles of network analysis for epilepsy. Epilepsy Research, 159:106255, 2020.
2019
- Worden et al., The probability of seizures during continuous EEG monitoring in high‐risk neonates. Epilepsia; 60:2508–2518, 2019.
- Nadalin et al., A statistical framework to assess cross-frequency coupling while accounting for confounding analysis effects. eLife; 8:e44287, 2019.
- Ostrowski et al., Dysmature superficial white matter microstructure in developmental focal epilepsy. Brain Comm, 1(1), 2019.
- Kramer et al., Scalp recorded spike ripples predict seizure risk in childhood epilepsy better than spikes. Brain 142(5):1296-1309, 2019.
- Gritton et al., Unique contributions of parvalbumin and cholinergic interneurons in organizing striatal networks during movement. Nat Neurosci 22(4):1, 2019.
- Song et al., Beta oscillations in the sensorimotor cortex correlate with disease and remission in benign epilepsy with centrotemporal spikes. Brain and Behavior 9(3), 2019.
2018
- Basu et al., A neural mass model to predict electrical stimulation evoked responses in human and non-human primate brain. J Neural Eng, 15(6), 2018.
- Spencer et al., A procedure to increase the power of Granger-causal analysis through temporal smoothing. J Neurosci Meth, 308, 2018.
- Naftulin et al., Ictal and preictal power changes outside of the seizure focus correlate with seizure generalization. Epilepsia, 59(7), 2018.
- Xie et al., Timing matters: Impact of anticonvulsant drug treatment and spikes on seizure risk in benign epilepsy with centrotemporal spikes. Epilepsia Open, 3:409-417, 2018.
- González-Ramírez & Kramer, The effect of inhibition on the existence of traveling wave solutions for a neural field model of human seizure termination. J Comp Neuro, 44(3), 393–409, 2018.
- Kass et al., Computational Neuroscience: Mathematical and Statistical Perspectives. Annual Review of Statistics and Its Application, 5, 2018.
- Ostergaard et al., Capturing spike variability in noisy Izhikevich neurons using point process Generalized Linear Models. Neural Comput, 30(1):125-148, 2018.
2016
- Chu et al., A semi-automated method for rapid detection of ripple events on interictal voltage discharges in the scalp electroencephalogram. J Neurosci Met, 277, 46-55. 2016.
- Vo et al., Amplitude-Modulated Bursting: A Novel Class of Bursting Rhythms. Phys Rev Lett, 117, 268101, 2016.
- Kramer and Eden, Case Studies in Neural Data Analysis: A Guide for the Practicing Neuroscientist. MIT Press, 2016.
- Viles et al., Percolation under noise: Detecting explosive percolation using the second-largest component. Phys Rev E, 93 052301, 2016.
2015
- Voytek et al., Age-Related Changes in 1/f Neural Electrophysiological Noise. J Neurosci, 35(38) 13257-13265, 2015.
- Matlis et al., Robust disruptions in electroencephalogram cortical oscillations and large-scale functional networks in autism. BMC Neurology 15:97, 2015
- Martinet et al., Spatial organization of the recruitment of neocortical regions during secondarily generalized seizures and its relation to surgical outcome. J Neurosci, 35(25):9477-9490, 2015.
- Chu et al., EEG functional connectivity is partially predicted by underlying white matter connectivity. Neuroimage, 108, 23-33, 2015.
- Gonzalez-Ramirez et al., A Biologically Constrained, Mathematical Model of Cortical Wave Propagation Preceding Seizure Termination. PLOS Comput Biol 11(2):e1004065, 2015.
- Aoi et al., Rate-adjusted spike-LFP coherence comparisons from spike-train statistics. J Neurosci Meth, 240:141-53, 2015.
- Yaffe et al., Physiology of Functional and Effective Networks in Epilepsy. Clin Neurophysiol, 126(2), 227-236, 2015.
- Finzi et al., Rhizosphere processes are quantitatively important components of terrestrial carbon and nutrient cycles. Global Change Biology, 21:2082-2094, 2015.
2014
- Kopell et al., Beyond The Connectome: The Dynome. Neuron, 83(6):1319-1328, 2014.
- Lepage et al., A statistically robust EEG re-referencing procedure to mitigate reference effect. J Neurosci Meth, 235(30):101-116, 2014.
- Chu et al., The maturation of cortical sleep rhythms and networks over early development. Clin Neurophysiol, 125(7):1360-1370, 2014.
- Stephen et al., Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses. Front Comput Neurosci, 8:31, 2014.
- Meng et al., A unified approach to linking experimental, statistical and computational analysis of spike train data. PLOS ONE 9(1):e85269, 2014.
2013
- Rotstein et al., Introduction to the focus issue: Rhythms and Dynamic Transitions in Neurological Disease: Modeling, Computation, and Experiment. Chaos, 23:046001, 2013.
- Kramer and Eden, Assessment of cross-frequency coupling with confidence using generalized linear models. J Neurosci Meth, 220(1):64-74, 2013.
- Gerhard et al., Successful Reconstruction of a Physiological Circuit with Known Connectivity from Spiking Activity Alone. PLOS Comput Biol 9(7):e1003138, 2013.
- Lepage et al., Inferring evoked brain connectivity through adaptive perturbation. J Comput Neurosci, 34:303-318, 2013.
- Drake et al., The stoichiometry of root exudation - insights from a model and a field experiment in a temperate forest. Biogeosciences, 10:821-838, 2013.
2012
- Kramer et al., Human seizures self-terminate across spatial scales via a critical transition. Proc Nat Acad Sci USA, 109:(51) 21116-21121, 2012
- Lepage et al., Some sampling properties of common phase estimators. Neural Comp, 25, 1-21, 2012.
- Lepage et al., A procedure for testing across-condition rhythmic spike-field association change. J Neurosci Meth, S0165-0270(12)00420-7, 2012.
- Ching et al., Distributed control in a mean-field cortical network model: Implications for seizure suppression. Phys Rev E, 86:021920, 2012.
- Lillis et al., Pyramidal cells accumulate chloride during preictal interneuronal bursts. Neurobiology of Disease 47:358-366, 2012.
- Burke et al., A showcase of torus canards in neuronal bursters. J Math Neuro, 2:3, 2012.
- Chu et al., Emergence of stable functional networks in long-term human EEG. J Neurosci, 32(8):2703-2713, 2012.
- Desroches et al., Canards of mixed type: new dynamics in a neural burster. Phys Rev E, 85:021920, 2012.
- Kramer and Cash, Epilepsy as a Disorder of Cortical Network Organization. The Neuroscientist, 18(4):360–372, 2012.
2011
- Kramer et al., Emergence of Persistent Networks in Long-Term Intracranial EEG Recordings. J Neurosci, 31(44):15757-15767, 2011.
- Meng et al., A sequential Monte Carlo approach to estimate biophysical neural models from spikes. J Neural Eng, 8:065006, 2011.
- Benes et al., An Elementary Model of Torus Canards. Chaos 21:023131, 2011.
- Kopell et al., Neuronal assembly dynamics in the beta1 frequency range permits short-term memory, Proc Nat Acad Sci USA, 108(9):3779-84, 2011.
- Lepage et al., The Dependence of Spike-Field Coherence on Expected Intensity., Neural Comp, 23(9):2209-41, 2011.
- Chu-Shore et al., Network Analysis: Applications for the Developing Brain. J Child Neurol, 26(4):488-500, 2011.
2010
- Kramer, A primer on networks in neuroscience, in Network Approaches to Diseases of the Brain, eds. M. Bianchi, S. Cash, V. Caviness, Benthan Publishing, 2010.
- Kopell et al., Are different rhythms good for different functions? Front Hum Neurosci, 4:187, 2010.
- Kramer et al., Coalescence and Fragmentation of Cortical Networks during Focal Seizures. J Neurosci, 30:10076-10085, 2010.
- Eden and Kramer, Drawing inferences from Fano factor calculations. J Neurosci Meth, 190(1):149-152, 2010.
- Tort et al., Cortical networks produce three distinct 7-12 Hz rhythms during single sensory responses in the awake rat. J Neurosci, 30:4315-4324, 2010.
2008
- Roopun et al., Temporal interactions between cortical rhythms. Front in Neurosci, 2,2:145-154, 2008.
- Tort et al., Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task. Proc Nat Acad Sci USA, 105:51, 20517-20522, 2008.
- Kramer et al., Rhythm Generation through Period Concatenation in Rat Somatosensory Cortex. PLOS Comp Bio, 4(9):e1000169, 2008.
- Kramer et al., New dynamics in cerebellar Purkinje cells: torus canards. Phys Rev Lett, 101:068103, 2008.
- Kramer et al., Emergent network topology at seizure onset in humans. Epilepsy Research, 79:173-186, 2008.
- Roopun et al., Period concatenation underlies interactions between gamma and beta rhythms in neocortex. Front Cell Neurosci 2:1, 2008.
- Kramer et al., Sharp edge artifacts and spurious coupling in EEG frequency comodulation measures. J Neurosci Meth, 170(2):352-357, 2008.
2007 and earlier
- Kramer et al., Synchronization measures of the scalp electroencephalogram can discriminate healthy from Alzheimer’s subjects. Int J Neural Sys, 17(2):1-9, 2007.
- Kramer et al., Mechanisms of seizure propagation in a cortical model. J Comp Neuro, 22:1, 2007.
- Kramer et al., Bifurcation control of a seizing human cortex, Phys Rev E, 73:041928, 2006.
- Kramer, Nonlinear dynamics and neural systems: synchronization and modeling, Ph.D. Dissertation, University of California, Berkeley, 2005.
- Kramer et al., Pathological pattern formation and cortical propagation of epileptic seizures, J R Soc Interface, 2(2):113-127, 2005.
- Kramer et al., Synchronization measures of bursting data: Application to the electrocorticogram of an auditory event-related experiment, Phys Rev E, 70:011914, 2004.
- Kramer and Szeri, Quantitative approximation of the cortical surface potential from EEG measurements, IEEE Trans Biomed Eng, 51(8):1358-1365, 2004.
- Lodge et al., A trilinear three-body problem. Int J Bif and Chaos, 13(8):2141-2155, 2003.
- Styer et al., Nine formulations of quantum mechanics. American Journal of Physics, 70(3):288-297, 2002.
- Zhang et al., Search for CO outflows toward a sample of 69 high-mass protostellar candidates: Frequency of occurrence. Astrophysical Journal, 552(2):L167-L170, 2001.
- Stinebring et al., Faint scattering around pulsars: Probing the interstellar medium on solar system size scales, Astrophysical Journal, 549(1):L97-L100, 2001.