Kyle Q Lepage

Summary

Affiliation: Boston University
Country: USA

Publications

  1. doi request reprint Inferring evoked brain connectivity through adaptive perturbation
    Kyle Q Lepage
    Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA
    J Comput Neurosci 34:303-18. 2013
  2. pmc Some sampling properties of common phase estimators
    Kyle Q Lepage
    Department of Mathematics, Boston University, Boston, MA 02446, USA
    Neural Comput 25:901-21. 2013
  3. pmc A procedure for testing across-condition rhythmic spike-field association change
    Kyle Q Lepage
    Boston University, Department of Mathematics and Statistics, Boston, MA, USA
    J Neurosci Methods 213:43-62. 2013
  4. doi request reprint The statistical analysis of partially confounded covariates important to neural spiking
    Kyle Q Lepage
    Department of Mathematics and Statistics, Boston University, Boston, MA, USA
    J Neurosci Methods 205:295-304. 2012
  5. doi request reprint The dependence of spike field coherence on expected intensity
    Kyle Q Lepage
    Department of Mathematics and Statistics, Boston University, Boston, MA 15213, USA
    Neural Comput 23:2209-41. 2011
  6. pmc Human seizures self-terminate across spatial scales via a critical transition
    Mark A Kramer
    Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA
    Proc Natl Acad Sci U S A 109:21116-21. 2012
  7. pmc Hippocampal "time cells" bridge the gap in memory for discontiguous events
    Christopher J MacDonald
    Center for Memory and Brain, Boston University, Boston, MA 02215, USA
    Neuron 71:737-49. 2011
  8. pmc Emergence of persistent networks in long-term intracranial EEG recordings
    Mark A Kramer
    Department of Mathematics and Statistics, Boston University, Boston, Massachusetts 02215, USA
    J Neurosci 31:15757-67. 2011

Detail Information

Publications8

  1. doi request reprint Inferring evoked brain connectivity through adaptive perturbation
    Kyle Q Lepage
    Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA
    J Comput Neurosci 34:303-18. 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...
  2. pmc Some sampling properties of common phase estimators
    Kyle Q Lepage
    Department of Mathematics, Boston University, Boston, MA 02446, USA
    Neural Comput 25:901-21. 2013
    ..This analysis suggests how prior knowledge about a rhythmic signal can be used to improve the accuracy of phase estimates...
  3. pmc A procedure for testing across-condition rhythmic spike-field association change
    Kyle Q Lepage
    Boston University, Department of Mathematics and Statistics, Boston, MA, USA
    J Neurosci Methods 213:43-62. 2013
    ....
  4. doi request reprint The statistical analysis of partially confounded covariates important to neural spiking
    Kyle Q Lepage
    Department of Mathematics and Statistics, Boston University, Boston, MA, USA
    J Neurosci Methods 205:295-304. 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...
  5. doi request reprint The dependence of spike field coherence on expected intensity
    Kyle Q Lepage
    Department of Mathematics and Statistics, Boston University, Boston, MA 15213, USA
    Neural Comput 23:2209-41. 2011
    ..Hence, intensity field coherence is a rate-independent measure and a candidate on which to base the appropriate statistical inference of spike field synchrony...
  6. pmc Human seizures self-terminate across spatial scales via a critical transition
    Mark A Kramer
    Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA
    Proc Natl Acad Sci U S A 109:21116-21. 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...
  7. pmc Hippocampal "time cells" bridge the gap in memory for discontiguous events
    Christopher J MacDonald
    Center for Memory and Brain, Boston University, Boston, MA 02215, USA
    Neuron 71:737-49. 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...
  8. pmc Emergence of persistent networks in long-term intracranial EEG recordings
    Mark A Kramer
    Department of Mathematics and Statistics, Boston University, Boston, Massachusetts 02215, USA
    J Neurosci 31:15757-67. 2011
    ..These results suggest that a metastable, frequency-band-dependent scaffold of brain connectivity exists from which transient activity emerges and recedes...