<p><b>A:</b> Two instances of MF dynamics from a network storing two correlated maps, during the presentation of two angles () with an intervening delay. The network operates in the cylinder regime. The plot shows the time course of the order parameter ; : pre-stimulus period, random starting , no tuned input. : first stimulus (presented in map , at (solid and dashed). : delay period, no tuned input. : second stimulus (solid) and (dashed). By looking at the position of the bump in () during the second stimulus presentation, it is possible to decide whether the shortest path between the first and second stimulus is CW () or CCW (). <b>B:</b> Sequential repetition of the task, trials. The location of the bump maximum along is plotted t...
To deepen the understanding of the human brain, many researchers have created a new way of analyzing...
<p><b>A)</b> A coupled system model composed by two groups of two mutually inhibited nodes, where L ...
As a benchmark task, the spiral problem is well known in neural networks. Unlike previous work that ...
<p><b>A:</b> MF time-course of , when a moving input localized around in either map or , is fed to...
<p>Slow morph experiment between two reference environments, over of simulation. The identity of th...
<p>(a) Propagated wave of activity from the goal at (1,1) through a 20 × 20 network with obstacles (...
For a long time, the problem of computing a shortest path in a dynamic graph has been received a lot...
<p>A, An example stimulus with two green saccade targets and a red cue that indicates which curve is...
This letter addresses the issue of learning shortest paths in complex networks, which is of utmost i...
<p>(<b>A</b>) Illustration of pairwise distances between trajectories within an ensemble (<i>X</i>) ...
<p>Presented here are different possible dynamics of spike timing in a two dimensional network. The ...
As a benchmark task, the spiral problem is well known in neural net-works. Unlike previous work that...
<p>(A) To characterize instantaneous spatial patterning in the network, we calculate the minimum tim...
<p>(a-c): Delayed reaction and time interval estimation: The synaptic output of a CSN learns to gene...
<p>Two static stimuli (red lines) are consecutively presented to the network for 350 ms each. They a...
To deepen the understanding of the human brain, many researchers have created a new way of analyzing...
<p><b>A)</b> A coupled system model composed by two groups of two mutually inhibited nodes, where L ...
As a benchmark task, the spiral problem is well known in neural networks. Unlike previous work that ...
<p><b>A:</b> MF time-course of , when a moving input localized around in either map or , is fed to...
<p>Slow morph experiment between two reference environments, over of simulation. The identity of th...
<p>(a) Propagated wave of activity from the goal at (1,1) through a 20 × 20 network with obstacles (...
For a long time, the problem of computing a shortest path in a dynamic graph has been received a lot...
<p>A, An example stimulus with two green saccade targets and a red cue that indicates which curve is...
This letter addresses the issue of learning shortest paths in complex networks, which is of utmost i...
<p>(<b>A</b>) Illustration of pairwise distances between trajectories within an ensemble (<i>X</i>) ...
<p>Presented here are different possible dynamics of spike timing in a two dimensional network. The ...
As a benchmark task, the spiral problem is well known in neural net-works. Unlike previous work that...
<p>(A) To characterize instantaneous spatial patterning in the network, we calculate the minimum tim...
<p>(a-c): Delayed reaction and time interval estimation: The synaptic output of a CSN learns to gene...
<p>Two static stimuli (red lines) are consecutively presented to the network for 350 ms each. They a...
To deepen the understanding of the human brain, many researchers have created a new way of analyzing...
<p><b>A)</b> A coupled system model composed by two groups of two mutually inhibited nodes, where L ...
As a benchmark task, the spiral problem is well known in neural networks. Unlike previous work that ...