Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Michelle Rudolph-Lilith

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Heliyon|August 11, 2018
A discrete algebraic framework for stochastic systems which yield unique and exact solutionsMichelle Rudolph-Lilith
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 4, 2014
Algebraic approach to small-world network modelsMichelle Rudolph-Lilith, Lyle E Muller
Biological Cybernetics|May 15, 2014
Aspects of randomness in neural graph structuresMichelle Rudolph-Lilith, Lyle E Muller
Neural Computation|February 28, 2012
Analytical integrate-and-fire neuron models with conductance-based dynamics and realistic postsynaptic potential time course for event-driven simulation strategiesMichelle Rudolph-Lilith, Mathieu Dubois, Alain Destexhe
Journal of Physiology, Paris|November 21, 2007
Activated cortical states: experiments, analyses and modelsSami El Boustani, Martin Pospischil, Michelle Rudolph-Lilith, et al.
Journal of Neuroscience Methods|January 12, 2008
Characterizing synaptic conductance fluctuations in cortical neurons and their influence on spike generationZuzanna Piwkowska, Martin Pospischil, Romain Brette, et al.
Neuron|August 15, 2008
High-resolution intracellular recordings using a real-time computational model of the electrodeRomain Brette, Zuzanna Piwkowska, Cyril Monier, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Heliyon|August 11, 2018
A discrete algebraic framework for stochastic systems which yield unique and exact solutionsMichelle Rudolph-Lilith
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 4, 2014
Algebraic approach to small-world network modelsMichelle Rudolph-Lilith, Lyle E Muller
Biological Cybernetics|May 15, 2014
Aspects of randomness in neural graph structuresMichelle Rudolph-Lilith, Lyle E Muller
Neural Computation|February 28, 2012
Analytical integrate-and-fire neuron models with conductance-based dynamics and realistic postsynaptic potential time course for event-driven simulation strategiesMichelle Rudolph-Lilith, Mathieu Dubois, Alain Destexhe
Journal of Physiology, Paris|November 21, 2007
Activated cortical states: experiments, analyses and modelsSami El Boustani, Martin Pospischil, Michelle Rudolph-Lilith, et al.
Journal of Neuroscience Methods|January 12, 2008
Characterizing synaptic conductance fluctuations in cortical neurons and their influence on spike generationZuzanna Piwkowska, Martin Pospischil, Romain Brette, et al.
Neuron|August 15, 2008
High-resolution intracellular recordings using a real-time computational model of the electrodeRomain Brette, Zuzanna Piwkowska, Cyril Monier, et al.
Pageof 1