<p><b>A</b> Two neural populations with rates <i>r</i><sub>1</sub>, <i>r</i><sub>2</sub> inhibit each other with synaptic efficacies −<i>J</i>. <b>B</b> Two coupled balanced subnetworks, each consisting of an excitatory and inhibitory population. Excitatory (inhibitory) connections are represented in blue (red). Mutual inhibition is generated by all-to-all connections of strength from each inhibitory population to the excitatory population of the other subnetwork. As in [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1005505#pcbi.1005505.ref007" target="_blank">7</a>], connections within each subnetwork are random with a connection probability <i>K</i>/<i>N</i>, 1 ≪ <i>K</i> ≪ <i>N</i>. Connection strengths are:...
<p><b>A</b>, An example of connectivity matrix for 80 excitatory neurons containing a single cluster...
<p>The extrinsic (associational) axons between ROI<sub>1</sub> and ROI<sub>2</sub> originate and end...
<p>(<b>A</b>) Architecture of an idealised winner-take-all-network. Several excitatory neurons (red)...
<p>There are two populations of neurons, excitatory (green) and inhibitory (red). The inhibitory net...
<p><b>A:</b> Schematic of an assembly <i>i</i> consisting of an excitatory (<i>E</i><sub><i>i</i></s...
<p>The subnetworks are comprised of either excitatory or inhibitory neurons. Subnetworks <i>B</i><su...
<p>The external population delivers stochastic activity to the local network. The local network is ...
<p>The population of excitatory neurons is subdivided in non-overlapping populations selective to 8 ...
<p>(<b>A</b>) The network consists of excitatory (E) and inhibitory (I) neurons. The neurons are cou...
(A) Schematic overview of all neuronal populations, external inputs, and main connections. Inhibitor...
<p>(<b>A</b>) Schematic diagram of the neural network. Each red (blue) circle represents an auditory...
<p>Input neurons are at the bottom. Similar to the Reynolds and Desimone model <a href="http://www.p...
<p>Neurons are fully connected and grouped into one excitatory and one inhibitory population. <i>J</...
<p>(A) The architecture of the model is composed of five populations of neurons. Three populations (...
<p><b>A</b> Auto-covariance of the mean activity of one of the excitatory populations (black). Cross...
<p><b>A</b>, An example of connectivity matrix for 80 excitatory neurons containing a single cluster...
<p>The extrinsic (associational) axons between ROI<sub>1</sub> and ROI<sub>2</sub> originate and end...
<p>(<b>A</b>) Architecture of an idealised winner-take-all-network. Several excitatory neurons (red)...
<p>There are two populations of neurons, excitatory (green) and inhibitory (red). The inhibitory net...
<p><b>A:</b> Schematic of an assembly <i>i</i> consisting of an excitatory (<i>E</i><sub><i>i</i></s...
<p>The subnetworks are comprised of either excitatory or inhibitory neurons. Subnetworks <i>B</i><su...
<p>The external population delivers stochastic activity to the local network. The local network is ...
<p>The population of excitatory neurons is subdivided in non-overlapping populations selective to 8 ...
<p>(<b>A</b>) The network consists of excitatory (E) and inhibitory (I) neurons. The neurons are cou...
(A) Schematic overview of all neuronal populations, external inputs, and main connections. Inhibitor...
<p>(<b>A</b>) Schematic diagram of the neural network. Each red (blue) circle represents an auditory...
<p>Input neurons are at the bottom. Similar to the Reynolds and Desimone model <a href="http://www.p...
<p>Neurons are fully connected and grouped into one excitatory and one inhibitory population. <i>J</...
<p>(A) The architecture of the model is composed of five populations of neurons. Three populations (...
<p><b>A</b> Auto-covariance of the mean activity of one of the excitatory populations (black). Cross...
<p><b>A</b>, An example of connectivity matrix for 80 excitatory neurons containing a single cluster...
<p>The extrinsic (associational) axons between ROI<sub>1</sub> and ROI<sub>2</sub> originate and end...
<p>(<b>A</b>) Architecture of an idealised winner-take-all-network. Several excitatory neurons (red)...