Publication date
February 2013
DOIAbstract
<p>Parameters used for the AEIaF neuron for the simulation model. Burst neurons have a membrane capacitance of 40 pF.</p
<p>Parameters used for the AEIaF neuron for the simulation model. Burst neurons have a membrane capacitance of 40 pF.</p
<p>Parameters of networks used in simulations (exc: excitatory, inh: inhibitory, pop: population, am...
Mathematical models of two Aplysia neurons simulate salient features of the electrical and chemical ...
<p>From top to bottom: Mean input <i>μ</i><sub>ext</sub> (black) together with input standard deviat...
<p> = resting membrane potential; = threshold voltage; = blockade voltage; = absolute refractory ...
<p>Parameters underlying the numerical simulations of the EIF/LIF neuron and the theoretical results...
A typical human brain consists of roughly 100 billion neurons, and one key aim of Biological Cyberne...
Simulation parameters of the network model that has been manually prewired in order to produce head-...
A: schematic circuit diagram for the membrane voltage dynamics of the two-compartment (2C) model. B:...
<p>Parameters for excitatory and inhibitory synaptic currents in a network of AHH model neurons.</p
<p>* These parameters are not constrained by the experimental data. Their values are simply assumed ...
<p>Single-compartment Hodgkin-Huxley model parameters for different classes of cortical neurons take...
<p>(A) Schematic illustration of the ball and stick neuron model with a single input at a given posi...
<p>A: Neuronal morphology used to construct the model neurons. B, C: Experimental traces (top) and v...
<p>Parameter is the membrane time constant, is the resting potential, is the formal firing thresh...
<p>The nine parameters, applied in the Izhikevich spiking neuron equations [<a href="http://www.plos...
<p>Parameters of networks used in simulations (exc: excitatory, inh: inhibitory, pop: population, am...
Mathematical models of two Aplysia neurons simulate salient features of the electrical and chemical ...
<p>From top to bottom: Mean input <i>μ</i><sub>ext</sub> (black) together with input standard deviat...
<p> = resting membrane potential; = threshold voltage; = blockade voltage; = absolute refractory ...
<p>Parameters underlying the numerical simulations of the EIF/LIF neuron and the theoretical results...
A typical human brain consists of roughly 100 billion neurons, and one key aim of Biological Cyberne...
Simulation parameters of the network model that has been manually prewired in order to produce head-...
A: schematic circuit diagram for the membrane voltage dynamics of the two-compartment (2C) model. B:...
<p>Parameters for excitatory and inhibitory synaptic currents in a network of AHH model neurons.</p
<p>* These parameters are not constrained by the experimental data. Their values are simply assumed ...
<p>Single-compartment Hodgkin-Huxley model parameters for different classes of cortical neurons take...
<p>(A) Schematic illustration of the ball and stick neuron model with a single input at a given posi...
<p>A: Neuronal morphology used to construct the model neurons. B, C: Experimental traces (top) and v...
<p>Parameter is the membrane time constant, is the resting potential, is the formal firing thresh...
<p>The nine parameters, applied in the Izhikevich spiking neuron equations [<a href="http://www.plos...
<p>Parameters of networks used in simulations (exc: excitatory, inh: inhibitory, pop: population, am...
Mathematical models of two Aplysia neurons simulate salient features of the electrical and chemical ...
<p>From top to bottom: Mean input <i>μ</i><sub>ext</sub> (black) together with input standard deviat...
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