<p>Modified Wang and Buzsái model neurons are used to compute PRCs at two parameter sets (a) resulting in a PRC that is nearly symmetric, and another that has very steep rise near small phases. (b) Growth functions corresponding to the PRCs in (a). (c) Voltage time courses of two coupled model neurons corresponding to the parameter sets of the two PRCs in (a). (d) Growth function for a third parameter set resulting in a non-zero phase-locked state near synchrony. (e) Spike times (plotted as dots) of a network of 100 all-to-all coupled model neurons for the three parameter sets corresponding to the curves in (b,d). The non-zero phase-locked state near synchrony leads to prolonged transients, and a jitter in the spike times in the steady stat...
<div><p>How stable synchrony in neuronal networks is sustained in the presence of conduction delays ...
<div><p>The ability of spiking neurons to synchronize their activity in a network depends on the res...
<p><b>A-B</b>: The inter-spike-interval CVs from simulated spike trains versus the neuron’s in degre...
<p>(a) Sample piecewise linear PRC profiles studied. (b) Voltage time course that consists of three ...
<p>A: Membrane potential of Traub model neurons without adaptation, (black), -mediated, (blue) an...
<p>(A–F) Measures of network activity for simulations of large-scale (N = 200) excitatory networks o...
The phase response curve (PRC) is a mathematical tool used to characterize the dynamics of individua...
<p>Spike times (solid bars) of two neurons oscillating with a small phase difference and coupled th...
There is a significant amount of computational literature on networks of neurons and their resulting...
Synchronization of neuronal activity is observed in high-and low-level functions of the nervous syst...
<p>(A) The stimulus and recovery intervals measured for the PRC can be used to predict the activity ...
http://deepblue.lib.umich.edu/bitstream/2027.42/112608/1/12868_2010_Article_1746.pd
unrestricted use, distribution, and reproduction in any medium, provided the original work is proper...
<p>Measures of network activity for simulations of large-scale (N = 200) excitatory networks of Morr...
<p>A–D: Stable (solid black) and unstable (dashed grey) phase locked states of coupled pairs of Trau...
<div><p>How stable synchrony in neuronal networks is sustained in the presence of conduction delays ...
<div><p>The ability of spiking neurons to synchronize their activity in a network depends on the res...
<p><b>A-B</b>: The inter-spike-interval CVs from simulated spike trains versus the neuron’s in degre...
<p>(a) Sample piecewise linear PRC profiles studied. (b) Voltage time course that consists of three ...
<p>A: Membrane potential of Traub model neurons without adaptation, (black), -mediated, (blue) an...
<p>(A–F) Measures of network activity for simulations of large-scale (N = 200) excitatory networks o...
The phase response curve (PRC) is a mathematical tool used to characterize the dynamics of individua...
<p>Spike times (solid bars) of two neurons oscillating with a small phase difference and coupled th...
There is a significant amount of computational literature on networks of neurons and their resulting...
Synchronization of neuronal activity is observed in high-and low-level functions of the nervous syst...
<p>(A) The stimulus and recovery intervals measured for the PRC can be used to predict the activity ...
http://deepblue.lib.umich.edu/bitstream/2027.42/112608/1/12868_2010_Article_1746.pd
unrestricted use, distribution, and reproduction in any medium, provided the original work is proper...
<p>Measures of network activity for simulations of large-scale (N = 200) excitatory networks of Morr...
<p>A–D: Stable (solid black) and unstable (dashed grey) phase locked states of coupled pairs of Trau...
<div><p>How stable synchrony in neuronal networks is sustained in the presence of conduction delays ...
<div><p>The ability of spiking neurons to synchronize their activity in a network depends on the res...
<p><b>A-B</b>: The inter-spike-interval CVs from simulated spike trains versus the neuron’s in degre...