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. 2012 Jan 26;8(1):e1002334. doi: 10.1371/journal.pcbi.1002334

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Luz, Shamir.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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The learning dynamics of a population of inhibitory and excitatory presynaptic neurons was simulated. The firing rate statistics of the presynaptic neurons followed Poisson process statistics with a mean rate of spikes/s. The inhibitory population was homogeneous and without correlations. The excitatory population was composed of two subgroups of equal size with a uniform correlation coefficient within each group, , and a zero correlation coefficient between cell pairs from different subgroups (see Methods). The figure shows the mean synaptic weight of each excitatory subgroup ( standard deviation) at the end of the learning process, as a function of the within-group correlation strength for different values of . A Without inhibition, . B With learning of a homogenous population of inhibitory synapses. Here we used , , , and . The points on the graph represents the mean over the last 600 minutes, simulation time was 2400 minutes.

Inline graphic — The learning dynamics of a population of inhibitory and excitatory presynaptic neurons was simulated. The firing rate statistics of the presynaptic neurons followed Poisson process statistics with a mean rate of spikes/s. The inhibitory population was homogeneous and without correlations. The excitatory population was composed of two subgroups of equal size with a uniform correlation coefficient within each group, , and a zero correlation coefficient between cell pairs from different subgroups (see Methods). The figure shows the mean synaptic weight of each excitatory subgroup ( standard deviation) at the end of the learning process, as a function of the within-group correlation strength for different values of . A Without inhibition, . B With learning of a homogenous population of inhibitory synapses. Here we used , , , and . The points on the graph represents the mean over the last 600 minutes, simulation time was 2400 minutes.