<p>Best-fitting models accounting for co-activation in the MaxU (top panel) and the MinU (bottom panel) conditions, according to the structural equation model (SEM) analysis. All the solid arrows are significant at <i>p</i><.03. Dashed arrows, Model 1 <i>p</i> = .08, Model 2 <i>p</i> = .18.</p
The brain is a highly complex system. Most of such complexity stems from the intermingled connection...
<p>(A and B) Interregion network models are derived from the encoding and delay activation data, res...
<p>a,b: 66-nodes connectome. c,d: 998-nodes connectome. a: The following quantities are depicted ver...
<p>In the left column, percentages in brackets following anatomical structures refer to anatomical p...
International audienceFunctional neuroimaging first allowed researchers to describe the functional s...
Structural Equation Models (SEM) is among of the most extensively applied statistical techniques in ...
Structural equation modelling (SEM) of neuroimaging data is commonly applied to a network of distrib...
<p>(<b>a</b>) Example of the PSTH segment for one cell (green), the best prediction of the S1 model ...
<p>(A) Trial-by-Trial confidence reports (grey line) and model predictions during each experimental ...
<p>(A) Trial-by-Trial confidence reports averaged across participants (grey line) and model predicti...
<p>Shown is a directed, acyclic graph (DAG) representing the SEM. The arrows indicate dependencies b...
Structural equation modeling (SEM) is a statistical analytic framework that allows researchers to sp...
The graph contains data for three different tasks: cerebral blood volume (CBV) (A), blood oxygen lev...
<p>The schematic summaries the modeling experiments undertaken in the present study. Symbols are int...
<p>This SEM shows how behaviors were related within the best fitting model for damselfish. Numbers i...
The brain is a highly complex system. Most of such complexity stems from the intermingled connection...
<p>(A and B) Interregion network models are derived from the encoding and delay activation data, res...
<p>a,b: 66-nodes connectome. c,d: 998-nodes connectome. a: The following quantities are depicted ver...
<p>In the left column, percentages in brackets following anatomical structures refer to anatomical p...
International audienceFunctional neuroimaging first allowed researchers to describe the functional s...
Structural Equation Models (SEM) is among of the most extensively applied statistical techniques in ...
Structural equation modelling (SEM) of neuroimaging data is commonly applied to a network of distrib...
<p>(<b>a</b>) Example of the PSTH segment for one cell (green), the best prediction of the S1 model ...
<p>(A) Trial-by-Trial confidence reports (grey line) and model predictions during each experimental ...
<p>(A) Trial-by-Trial confidence reports averaged across participants (grey line) and model predicti...
<p>Shown is a directed, acyclic graph (DAG) representing the SEM. The arrows indicate dependencies b...
Structural equation modeling (SEM) is a statistical analytic framework that allows researchers to sp...
The graph contains data for three different tasks: cerebral blood volume (CBV) (A), blood oxygen lev...
<p>The schematic summaries the modeling experiments undertaken in the present study. Symbols are int...
<p>This SEM shows how behaviors were related within the best fitting model for damselfish. Numbers i...
The brain is a highly complex system. Most of such complexity stems from the intermingled connection...
<p>(A and B) Interregion network models are derived from the encoding and delay activation data, res...
<p>a,b: 66-nodes connectome. c,d: 998-nodes connectome. a: The following quantities are depicted ver...