<p>Each dot represents a synaptic weight on a linear scale such that white and black correspond to 0 and 1, respectively. At 0 s connections are distributed randomly with all weights set to 0.5. After 300 s, excitatory weights have mostly dropped towards 0, with just a few weights increasing towards 1. Inhibitory weights increased towards 1 with only a few connections being reduced. C) The time-series of mean in-degree for excitatory and inhibitory synapses in both pulsed and non-pulsed cases. Note that excitatory in-degree is approximately 80 at time 0 s, but drops dramatically during the first second.</p
A: Membrane and synaptic dynamics of a neuron innervated by an excitatory and an inhibitory neuron f...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
A1-E1. Firing rate dynamics of excitatory neurons from a vertical slice of the network. The MLE of t...
<p>A) Threshold-quadratic input-rate transfer function. B) Histogram of excitatory-excitatory synapt...
<p>(a) Black circles: minimum observed ISI for each active cell in network simulations of different ...
<p>The graphs show the relative excitability as a function of the additional synaptic input per ne...
<p>A) Mean firing rate of the excitatory neurons. B) Integral of the auto-covariance function of the...
<p>(A, B, C) These plots show the strength of synaptic outputs of three different cells over the cou...
<p>The learning dynamics of a population of inhibitory and excitatory presynaptic neurons was simu...
(a) The demonstration network consists of populations of excitatory (red dots), inhibitory (blue dot...
<p>The asymptotic value of the homogeneous inhibitory synaptic weight is shown as a function of the ...
<p>A) Threshold-quadratic input-rate transfer function. B,C) Raster plots of 6 second realizations o...
<p><b>A</b>: Distribution of firing rates of excitatory neurons. The magenta line shows a log-normal...
<p><b>(A)</b> Initial connectivity matrix of the random network. Each excitatory neuron is connected...
<p>(a,b) Firing rate time series segments based on 400 msec moving window for several randomly chose...
A: Membrane and synaptic dynamics of a neuron innervated by an excitatory and an inhibitory neuron f...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
A1-E1. Firing rate dynamics of excitatory neurons from a vertical slice of the network. The MLE of t...
<p>A) Threshold-quadratic input-rate transfer function. B) Histogram of excitatory-excitatory synapt...
<p>(a) Black circles: minimum observed ISI for each active cell in network simulations of different ...
<p>The graphs show the relative excitability as a function of the additional synaptic input per ne...
<p>A) Mean firing rate of the excitatory neurons. B) Integral of the auto-covariance function of the...
<p>(A, B, C) These plots show the strength of synaptic outputs of three different cells over the cou...
<p>The learning dynamics of a population of inhibitory and excitatory presynaptic neurons was simu...
(a) The demonstration network consists of populations of excitatory (red dots), inhibitory (blue dot...
<p>The asymptotic value of the homogeneous inhibitory synaptic weight is shown as a function of the ...
<p>A) Threshold-quadratic input-rate transfer function. B,C) Raster plots of 6 second realizations o...
<p><b>A</b>: Distribution of firing rates of excitatory neurons. The magenta line shows a log-normal...
<p><b>(A)</b> Initial connectivity matrix of the random network. Each excitatory neuron is connected...
<p>(a,b) Firing rate time series segments based on 400 msec moving window for several randomly chose...
A: Membrane and synaptic dynamics of a neuron innervated by an excitatory and an inhibitory neuron f...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
A1-E1. Firing rate dynamics of excitatory neurons from a vertical slice of the network. The MLE of t...