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Heliyon
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August 11, 2018
A discrete algebraic framework for stochastic systems which yield unique and exact solutions
Michelle Rudolph-Lilith
Neural Computation
|
July 19, 2006
Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies
Michelle Rudolph, Alain Destexhe
Neural Computation
|
October 21, 2006
On the use of analytical expressions for the voltage distribution to analyze intracellular recordings
Michelle Rudolph, Alain Destexhe
Biological Cybernetics
|
May 15, 2014
Aspects of randomness in neural graph structures
Michelle Rudolph-Lilith, Lyle E Muller
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
March 4, 2014
Algebraic approach to small-world network models
Michelle 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 strategies
Michelle Rudolph-Lilith, Mathieu Dubois, Alain Destexhe
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
May 18, 2007
Inhibition determines membrane potential dynamics and controls action potential generation in awake and sleeping cat cortex
Michelle Rudolph, Martin Pospischil, Igor Timofeev, et al.
Trends in Neurosciences
|
May 8, 2007
Are corticothalamic 'up' states fragments of wakefulness?
Alain Destexhe, Stuart W Hughes, Michelle Rudolph, et al.
Journal of Physiology, Paris
|
November 21, 2007
Activated cortical states: experiments, analyses and models
Sami El Boustani, Martin Pospischil, Michelle Rudolph-Lilith, et al.
Journal of Neurophysiology
|
December 8, 2006
Calculating event-triggered average synaptic conductances from the membrane potential
Martin Pospischil, Zuzanna Piwkowska, Michelle Rudolph, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Heliyon
|
August 11, 2018
A discrete algebraic framework for stochastic systems which yield unique and exact solutions
Michelle Rudolph-Lilith
Neural Computation
|
July 19, 2006
Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies
Michelle Rudolph, Alain Destexhe
Neural Computation
|
October 21, 2006
On the use of analytical expressions for the voltage distribution to analyze intracellular recordings
Michelle Rudolph, Alain Destexhe
Biological Cybernetics
|
May 15, 2014
Aspects of randomness in neural graph structures
Michelle Rudolph-Lilith, Lyle E Muller
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|
March 4, 2014
Algebraic approach to small-world network models
Michelle 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 strategies
Michelle Rudolph-Lilith, Mathieu Dubois, Alain Destexhe
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
May 18, 2007
Inhibition determines membrane potential dynamics and controls action potential generation in awake and sleeping cat cortex
Michelle Rudolph, Martin Pospischil, Igor Timofeev, et al.
Trends in Neurosciences
|
May 8, 2007
Are corticothalamic 'up' states fragments of wakefulness?
Alain Destexhe, Stuart W Hughes, Michelle Rudolph, et al.
Journal of Physiology, Paris
|
November 21, 2007
Activated cortical states: experiments, analyses and models
Sami El Boustani, Martin Pospischil, Michelle Rudolph-Lilith, et al.
Journal of Neurophysiology
|
December 8, 2006
Calculating event-triggered average synaptic conductances from the membrane potential
Martin Pospischil, Zuzanna Piwkowska, Michelle Rudolph, et al.
Page
of 2