<p><b>A</b>: Firing-rate deflection of a LIF neuron caused by an incoming spike event of postsynaptic amplitude . <b>B</b>: Integral of the firing rate deflection shown in A as a function of the postsynaptic amplitude (simulation: black dots; analytical approximation (45) : gray curve). The neuron receives constant synaptic background input with , , and rates , resulting in a first and second moment (42) and . Simulation results are obtained by averaging over trials of duration each with input impulses on average. For further parameters of the neuron model, see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002596#pcbi-1002596-t001" target="_blank">Table 1</a> and <a href="http://www.ploscompbiol.org/art...
<p><b>A:</b> Mean weight into the reinforced neuron () over time for LIF neurons receiving 10,000 ex...
<p>(<b>A</b>) The input to the post-synaptic cell is a fixed spike train which is convolved with a s...
<p>Each of 5 orthogonal prototypes defines an input category 1–5. Prototypes are never presented to ...
<p>Dependence of the spike-train and population-rate statistics on the synaptic weight (PSP amplitu...
<p><b>A</b>, Schematic overview of the linear rate model. First, spike trains are convolved with a s...
A. Schematic of a feedforward inhibitory motif. A single postsynaptic excitatory neuron with rate νE...
Abstract: The dynamics of the synaptic transmission can ultimately determine the communication betwe...
A: Membrane and synaptic dynamics of a neuron innervated by an excitatory and an inhibitory neuron f...
<p><b>A:</b> Mean output firing rate (, solid) and mean cross-covariance strength (covariance normal...
The figure shows the strengths of the afferent synapses from the input population to output neuron #...
<p><b>A</b>. The model consists of a layer of input neurons, along which wavefronts of spiking activ...
<p>Bottom panel: input spike frequency that slowly increases ten-fold. Top three panels: output spik...
<p><b>A</b>. Transition from mean-driven to fluctuation-driven firing regimes when the rate of the i...
<p>The asymptotic synaptic weight, , in learning dynamics of a single inhibitory synapse is shown as...
<p>(A) Schematic representation of the neuron (top gray-filled circle) and the synapses (pairs of b...
<p><b>A:</b> Mean weight into the reinforced neuron () over time for LIF neurons receiving 10,000 ex...
<p>(<b>A</b>) The input to the post-synaptic cell is a fixed spike train which is convolved with a s...
<p>Each of 5 orthogonal prototypes defines an input category 1–5. Prototypes are never presented to ...
<p>Dependence of the spike-train and population-rate statistics on the synaptic weight (PSP amplitu...
<p><b>A</b>, Schematic overview of the linear rate model. First, spike trains are convolved with a s...
A. Schematic of a feedforward inhibitory motif. A single postsynaptic excitatory neuron with rate νE...
Abstract: The dynamics of the synaptic transmission can ultimately determine the communication betwe...
A: Membrane and synaptic dynamics of a neuron innervated by an excitatory and an inhibitory neuron f...
<p><b>A:</b> Mean output firing rate (, solid) and mean cross-covariance strength (covariance normal...
The figure shows the strengths of the afferent synapses from the input population to output neuron #...
<p><b>A</b>. The model consists of a layer of input neurons, along which wavefronts of spiking activ...
<p>Bottom panel: input spike frequency that slowly increases ten-fold. Top three panels: output spik...
<p><b>A</b>. Transition from mean-driven to fluctuation-driven firing regimes when the rate of the i...
<p>The asymptotic synaptic weight, , in learning dynamics of a single inhibitory synapse is shown as...
<p>(A) Schematic representation of the neuron (top gray-filled circle) and the synapses (pairs of b...
<p><b>A:</b> Mean weight into the reinforced neuron () over time for LIF neurons receiving 10,000 ex...
<p>(<b>A</b>) The input to the post-synaptic cell is a fixed spike train which is convolved with a s...
<p>Each of 5 orthogonal prototypes defines an input category 1–5. Prototypes are never presented to ...