<p>Every recorded pattern is assigned to its basin of attraction by descending on the energy landscape. The number of distinct basins is shown as a function of the network size, <i>N</i>, for K-pairwise models (black line). Gray lines show the subsets of those basins that are encountered multiple times in the recording (more than 10 times, dark gray; more than 100 times, light gray). Error bars are s.d. over 30 subnetworks at every <i>N</i>. Note the logarithmic scale for the number of MS states.</p
<p>Relative sizes (in percents) of the attraction basins of the original Mendoza & Alvarez-Buylla ne...
Panels A-C show the frequency of temporally-regular, chimera, and temporally-irregular states with n...
<p>(a) Scattered data of the predicted global features for three data sets, using the regression coe...
<p><b>a</b>) Every response pattern from data is assigned to its corresponding meta-stable pattern ...
<p>(<b>A</b>) Most frequently occurring MS patterns collected from 30 subnetworks of size <i>N</i> =...
<p>This table summarizes the classification of subgraphs as network motifs. (1) The number of observ...
<p>(A) Frequency distribution of precursor number across network states, estimated from 40,000 rando...
<p>Number of (absolutely) bistable models obtained with different concentration vectors under differ...
A. The maximal Lyapunov exponent (MLE) as a function of the projection width (σi) and the time const...
(A) Time course of spike rates averaged across all neurons in area V1 for increasing χ (graphs from ...
<p>Box plots of the distributions of persistences (panel ), births (panel ) and lengths (panel ) ...
<p>A minimalistic model was applied for the dynamics in the reduced networks with size <i>N</i>′ = 1...
(A) Raw network structure of an empirical mutualistic network from actual observation data [40]. (B)...
We simulate the dynamics of a multineuron model (RS model) with an energy function given by the prod...
<p>The scaling is done for <i>p</i> = 1 (black line) and <i>p</i> = 20 (red and blue lines). For <i>...
<p>Relative sizes (in percents) of the attraction basins of the original Mendoza & Alvarez-Buylla ne...
Panels A-C show the frequency of temporally-regular, chimera, and temporally-irregular states with n...
<p>(a) Scattered data of the predicted global features for three data sets, using the regression coe...
<p><b>a</b>) Every response pattern from data is assigned to its corresponding meta-stable pattern ...
<p>(<b>A</b>) Most frequently occurring MS patterns collected from 30 subnetworks of size <i>N</i> =...
<p>This table summarizes the classification of subgraphs as network motifs. (1) The number of observ...
<p>(A) Frequency distribution of precursor number across network states, estimated from 40,000 rando...
<p>Number of (absolutely) bistable models obtained with different concentration vectors under differ...
A. The maximal Lyapunov exponent (MLE) as a function of the projection width (σi) and the time const...
(A) Time course of spike rates averaged across all neurons in area V1 for increasing χ (graphs from ...
<p>Box plots of the distributions of persistences (panel ), births (panel ) and lengths (panel ) ...
<p>A minimalistic model was applied for the dynamics in the reduced networks with size <i>N</i>′ = 1...
(A) Raw network structure of an empirical mutualistic network from actual observation data [40]. (B)...
We simulate the dynamics of a multineuron model (RS model) with an energy function given by the prod...
<p>The scaling is done for <i>p</i> = 1 (black line) and <i>p</i> = 20 (red and blue lines). For <i>...
<p>Relative sizes (in percents) of the attraction basins of the original Mendoza & Alvarez-Buylla ne...
Panels A-C show the frequency of temporally-regular, chimera, and temporally-irregular states with n...
<p>(a) Scattered data of the predicted global features for three data sets, using the regression coe...