Basic network parameters.

<p>Basic network parameters.</p

Change in synaptic weight as a function of initial synaptic weight.

<p>The above plots show the distributions of change in synaptic weight as a function of initial synaptic weight over a ten second simulation time period. The plots on the left are from the simulated network and are in electrophysiological units. The plots on the right are from experiment [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004759#pcbi.1004759.ref010" target="_blank">10</a>] and are in units of volume as estimated from fluorescence data. The plots on the top show the absolute change in synaptic weight / size. The plots on the bottom show the relative change in synaptic weight / size. Single trial data.</p

Supporting Information for "Non-random network connectivity comes in pairs"

Supporting Information for "Non-random network connectivity comes in pairs". Felix Z. Hoffmann, Jochen Triesch, 2016.<br

Evolution of total and bidirectional connection fraction with simulation time.

<p>Connection fraction evolution for plastic networks with and without topology, as well as flat values for topology only. (top) Growth and subsequent stabilization of the connection fraction of the network with simulation time. (middle) Growth of the bidirectional connection fraction. (bottom) Evolution of the bidirectional connection fraction with time as it relates to chance level (i.e. compared to the value for an Erdős-Rényi graph with the same number of nodes and edges). Data averaged over ten trials; standard deviation is shaded.</p

Basic connectivity parameters.

<p>Basic connectivity parameters.</p

Distributions of ISIs and CVs thereof during stabilized network activity.

<p>(top) Pooled (over all neurons) distribution of ISIs with exponential fit, suggesting Poisson-like behavior with a refractory period. Individual neuron distributions have been tested to be similar. (bottom) Distribution of CVs of ISIs, suggesting Poisson-like behavior. Single trial data.</p

Triadic motif counts as a multiple of chance, corrected for bidirectional overrepresentation.

<p>Triadic motif counts (in the same order as [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004759#pcbi.1004759.ref006" target="_blank">6</a>]) for a simulated network as a multiple of chance value. The counts have been corrected for the observed overrepresentation of bidirectional connections. Results are shown for a complete network, a purely topological construction, an equivalent network with no topology, and approximate experimental data. For the topology-free network, the count of motif 16 is out of range due to the extremely low expected count after bidirectionality corrections. Data averaged over ten trials; error bars are standard deviation. Horizontal axis has been jittered slightly to increase readability.</p

LIF neuron parameters.

<p>LIF neuron parameters.</p

Results of plasticity mechanism removal.

<p>See <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004759#pcbi.1004759.s003" target="_blank">S3</a> and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1004759#pcbi.1004759.s004" target="_blank">S4</a> Figs for additional illustration.</p

Log distribution of synaptic weights.

<p>The distribution of the base ten logarithm of synaptic weights for plastic networks with and without topology. Data averaged over ten trials; error bars are standard deviation.</p