Research Topics
 Kyle Q LepageSummaryAffiliation: Boston University Country: USA Publications
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Publications
 A statistically robust EEG rereferencing procedure to mitigate reference effectKyle Q Lepage
Boston University, Department of Mathematics and Statistics, Boston, MA, USA Electronic address
J Neurosci Methods 235:10116. 2014..Successful analysis of EEG data often involves rereferencing procedures that modify the recorded traces and seek to minimize the impact of reference electrode activity upon functions of the original EEG recordings...  Inferring evoked brain connectivity through adaptive perturbationKyle Q Lepage
Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA
J Comput Neurosci 34:30318. 2013..The proposed method demonstrates improved accuracy compared to network inference based on passive observation of node dynamics and an increased rate of convergence relative to network estimation employing a naïve stimulation strategy...  Some sampling properties of common phase estimatorsKyle Q Lepage
Department of Mathematics, Boston University, Boston, MA 02446, USA
Neural Comput 25:90121. 2013..This analysis suggests how prior knowledge about a rhythmic signal can be used to improve the accuracy of phase estimates...  A procedure for testing acrosscondition rhythmic spikefield association changeKyle Q Lepage
Boston University, Department of Mathematics and Statistics, Boston, MA, USA
J Neurosci Methods 213:4362. 2013....  The statistical analysis of partially confounded covariates important to neural spikingKyle Q Lepage
Department of Mathematics and Statistics, Boston University, Boston, MA, USA
J Neurosci Methods 205:295304. 2012..This analysis demonstrates the temporal bridging of a delay period in a sequential memory task by firing activity of cells present in the rodent hippocampus that cannot be explained by rodent position, head direction or velocity...  The dependence of spike field coherence on expected intensityKyle Q Lepage
Department of Mathematics and Statistics, Boston University, Boston, MA 15213, USA
Neural Comput 23:220941. 2011..Hence, intensity field coherence is a rateindependent measure and a candidate on which to base the appropriate statistical inference of spike field synchrony...  Human seizures selfterminate across spatial scales via a critical transitionMark A Kramer
Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA
Proc Natl Acad Sci U S A 109:2111621. 2012..This description constrains the specific biophysical mechanisms underlying seizure termination, suggests a dynamical understanding of status epilepticus, and demonstrates an accessible system for studying critical transitions in nature...  Hippocampal "time cells" bridge the gap in memory for discontiguous eventsChristopher J MacDonald
Center for Memory and Brain, Boston University, Boston, MA 02215, USA
Neuron 71:73749. 2011..These findings suggest that hippocampal neural ensembles segment temporally organized memories much the same as they represent locations of important events in spatially defined environments...  Rateadjusted spikeLFP coherence comparisons from spiketrain statisticsMikio C Aoi
Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA Electronic address
J Neurosci Methods 240:14153. 2015....  Emergence of persistent networks in longterm intracranial EEG recordingsMark A Kramer
Department of Mathematics and Statistics, Boston University, Boston, Massachusetts 02215, USA
J Neurosci 31:1575767. 2011..These results suggest that a metastable, frequencybanddependent scaffold of brain connectivity exists from which transient activity emerges and recedes...