<p>Each line corresponds to performance after removing one feature. Green is default. Blue corresponds to the network when punishment was turned off. Magenta shows a network with no output balancing. Orange represents a network with no variability in synaptic release.</p
The layout of the figure in each column is similar to that of Fig 3 showing model response to differ...
<div><p>Each curve represents the success rate of the mature network for a given task when the firin...
<p>(A,C) Rastergram and average discharge rate of PCs and BCs versus time when inhibition from MCs i...
<p>A) Model performance reduced when no inhibition was present in the network. Green—baseline (inhib...
<p>Mutated networks were obtained after increasingly deleting interactions up to a core network. Blu...
<p>A) Removing exceptional edges from the network causes a decline in performance, while adding them...
<p>Colour maps show the network state as a function of pairs of parameters (other parameters set to ...
<p>Disease, feature, and model-specific performance on the complete network. The AUROC (y-axis) was ...
(A) Mean performance (red line) and standard deviation (blue lines) over time: unsupervised training...
<p>Left panel: Targeted turnover is more successful than random turnover at preserving memory patter...
<p><b>A.</b> The colour map shows the network state dependence on parameter values (other parameters...
<p>Left panel: For the first five environments the neurogenesis algorithm reduces the recoding error...
<p>The total activity attained at the end of the simulation (t = 100 iterations) is shown, averaged ...
<p> denotes the fraction of excitatory neurons firing at time step . Red line is the identity line w...
<p>Left panel: The algorithm achieves a recoding accuracy of for all twelve environments. The retri...
The layout of the figure in each column is similar to that of Fig 3 showing model response to differ...
<div><p>Each curve represents the success rate of the mature network for a given task when the firin...
<p>(A,C) Rastergram and average discharge rate of PCs and BCs versus time when inhibition from MCs i...
<p>A) Model performance reduced when no inhibition was present in the network. Green—baseline (inhib...
<p>Mutated networks were obtained after increasingly deleting interactions up to a core network. Blu...
<p>A) Removing exceptional edges from the network causes a decline in performance, while adding them...
<p>Colour maps show the network state as a function of pairs of parameters (other parameters set to ...
<p>Disease, feature, and model-specific performance on the complete network. The AUROC (y-axis) was ...
(A) Mean performance (red line) and standard deviation (blue lines) over time: unsupervised training...
<p>Left panel: Targeted turnover is more successful than random turnover at preserving memory patter...
<p><b>A.</b> The colour map shows the network state dependence on parameter values (other parameters...
<p>Left panel: For the first five environments the neurogenesis algorithm reduces the recoding error...
<p>The total activity attained at the end of the simulation (t = 100 iterations) is shown, averaged ...
<p> denotes the fraction of excitatory neurons firing at time step . Red line is the identity line w...
<p>Left panel: The algorithm achieves a recoding accuracy of for all twelve environments. The retri...
The layout of the figure in each column is similar to that of Fig 3 showing model response to differ...
<div><p>Each curve represents the success rate of the mature network for a given task when the firin...
<p>(A,C) Rastergram and average discharge rate of PCs and BCs versus time when inhibition from MCs i...
DOI
Add to ORKG