<p>(A) Relative change of the firing rate with respect to the undistorted network averaged over all sustained states for varying synapse weight noise. (B) as a function of mean rate for every survived state for varying synapse weight noise. (C and D) Relative change of the firing rate with respect to the undistorted for each state for 50% synapse weight noise(C) and compensated (D). (E) as a function of mean rate for varying synapse weight noise. (F) CC as a function of mean rate for varying synapse weight noise. (G and H) Relative change of with respect to the undistorted for each state for 50% synapse weight noise(G) and compensated (H). In (C and D) and (G and H): A cross marks a state that was sustained in the undistorted but not sus...
<p>Average classification performance of 100 networks trained with both STDP and IP on (A) the memor...
18. Such manipulations change the value of the parameter f in themodel. The steady-state amplitude i...
<p>(A) Mean final performance of 8 runs with different levels of random perturbation of excitatory s...
<p>(A) Relative change of the firing rate with respect to the undistorted network averaged over all ...
<p>Figure shows the effect of additive uniformly distributed synaptic ...
<p>(A) Mean firing rate of a single PY and INH neuron given a poisson stimulus by the external netwo...
<p>A: Piecewise linear function used as approximate fit to experimental data showing dependence of s...
<p>A Integrated response of the firing rate (15)of the integrate-and-fire model as a function of syn...
<p>A) Model performance reduced when no inhibition was present in the network. Green—baseline (inhib...
A: Autocorrelation function of the firing rates for the network with adaptive neurons for three diff...
<p>The graphs show the relative excitability as a function of the additional synaptic input per ne...
<p>The spike data for all three plots was filtered to remove spontaneous spikes in individual neuron...
<p>(A,B) Average network frequency as a function of the re-wiring parameter for various values of i...
<p>On the top: survival time (A), mean firing rate (B), coefficient of variance (C), coefficient of...
<p>(a,b) Network potentiation as a function of re-wiring probability (x-axis) and maximum synaptic s...
<p>Average classification performance of 100 networks trained with both STDP and IP on (A) the memor...
18. Such manipulations change the value of the parameter f in themodel. The steady-state amplitude i...
<p>(A) Mean final performance of 8 runs with different levels of random perturbation of excitatory s...
<p>(A) Relative change of the firing rate with respect to the undistorted network averaged over all ...
<p>Figure shows the effect of additive uniformly distributed synaptic ...
<p>(A) Mean firing rate of a single PY and INH neuron given a poisson stimulus by the external netwo...
<p>A: Piecewise linear function used as approximate fit to experimental data showing dependence of s...
<p>A Integrated response of the firing rate (15)of the integrate-and-fire model as a function of syn...
<p>A) Model performance reduced when no inhibition was present in the network. Green—baseline (inhib...
A: Autocorrelation function of the firing rates for the network with adaptive neurons for three diff...
<p>The graphs show the relative excitability as a function of the additional synaptic input per ne...
<p>The spike data for all three plots was filtered to remove spontaneous spikes in individual neuron...
<p>(A,B) Average network frequency as a function of the re-wiring parameter for various values of i...
<p>On the top: survival time (A), mean firing rate (B), coefficient of variance (C), coefficient of...
<p>(a,b) Network potentiation as a function of re-wiring probability (x-axis) and maximum synaptic s...
<p>Average classification performance of 100 networks trained with both STDP and IP on (A) the memor...
18. Such manipulations change the value of the parameter f in themodel. The steady-state amplitude i...
<p>(A) Mean final performance of 8 runs with different levels of random perturbation of excitatory s...