<p>Excitatory PY and inhibitory INH neurons are connected randomly with a spatial, Gaussian connection probability profile. The connection properties are given in Appendix S4. A small part of the network is stimulated in the beginning of the experiment.</p
<p>The entry in layers <i>i</i> (row) and <i>j</i> (column) represents the probability that a neuron...
<p>The entry in layers <i>i</i> (row) and <i>j</i> (column) represents the probability that a neuron...
(A) Schematic overview of all neuronal populations, external inputs, and main connections. Inhibitor...
<p><b>A:</b> Schematic of an assembly <i>i</i> consisting of an excitatory (<i>E</i><sub><i>i</i></s...
<p>This figure shows the relationship between the cortico-cortical excitatory and inhibitory connect...
<p>(A) Random positioning of excitatory (red) and inhibitory (blue) neurons in a square, represent...
<p>Excitatory (inhibitory) connections indicated in green (red). is the cortical pyramidal neural p...
<p>Excitatory connections are represented with arrows and inhibitory connections with circles. Just ...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p>The entry in layers <i>i</i> (row) and <i>j</i> (column) represents the probability that a neuron...
<p>The entry in layers <i>i</i> (row) and <i>j</i> (column) represents the probability that a neuron...
<p>There are two populations of neurons, excitatory (green) and inhibitory (red). The inhibitory net...
<p>The connectivity of cortical neuronal networks is complex, exhibiting clustered network motifs an...
<p>(<b>A</b>) TE p-value histogram for real and randomized data. Real data show many more pairs of n...
<p>The network consists of two parts. In each part, there are excitatory (S, NS) and inhibitory (I) ...
<p>The entry in layers <i>i</i> (row) and <i>j</i> (column) represents the probability that a neuron...
<p>The entry in layers <i>i</i> (row) and <i>j</i> (column) represents the probability that a neuron...
(A) Schematic overview of all neuronal populations, external inputs, and main connections. Inhibitor...
<p><b>A:</b> Schematic of an assembly <i>i</i> consisting of an excitatory (<i>E</i><sub><i>i</i></s...
<p>This figure shows the relationship between the cortico-cortical excitatory and inhibitory connect...
<p>(A) Random positioning of excitatory (red) and inhibitory (blue) neurons in a square, represent...
<p>Excitatory (inhibitory) connections indicated in green (red). is the cortical pyramidal neural p...
<p>Excitatory connections are represented with arrows and inhibitory connections with circles. Just ...
<p>Each neuron in population receives randomly drawn excitatory inputs with weight , randomly dra...
<p>The entry in layers <i>i</i> (row) and <i>j</i> (column) represents the probability that a neuron...
<p>The entry in layers <i>i</i> (row) and <i>j</i> (column) represents the probability that a neuron...
<p>There are two populations of neurons, excitatory (green) and inhibitory (red). The inhibitory net...
<p>The connectivity of cortical neuronal networks is complex, exhibiting clustered network motifs an...
<p>(<b>A</b>) TE p-value histogram for real and randomized data. Real data show many more pairs of n...
<p>The network consists of two parts. In each part, there are excitatory (S, NS) and inhibitory (I) ...
<p>The entry in layers <i>i</i> (row) and <i>j</i> (column) represents the probability that a neuron...
<p>The entry in layers <i>i</i> (row) and <i>j</i> (column) represents the probability that a neuron...
(A) Schematic overview of all neuronal populations, external inputs, and main connections. Inhibitor...