<p>Learning induces an increment of synaptic modifications that reach a maximum value near trial 80 and then the amount of change in synaptic weights decrease. At trial 120, the rate of change predicts the experimental result found in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0008656#pone-0008656-g002" target="_blank">Figure 2A</a>. Error bars indicate the standard error to the mean. Shadow bars shows the experimental values of BDNF obtained in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0008656#pone-0008656-g002" target="_blank">Figure 2A</a>.</p
<p>Non-Hebbian LTP pre-synaptic plasticity; synaptic change plotted against (defined as the time in...
<p>Boxplots showing the characteristics of the dense collar (<i>blue</i>) and lip (<i>orange</i>) of...
<p>Average synaptic weights for three different connection types: feedforward (squares), feedback (c...
<p>The top and the middle show the averaged weights before and after learning, respectively. The hei...
<p>The input synaptic weight values are plotted in chronological order, with respect to their associ...
<p>Distribution of synaptic weights for three different connection types: feedforward (left), feedba...
<p>(A) Fraction of erroneous network decisions against training week, with a ‘week’ consisting of th...
<p><b>(A)</b> Evolution of synaptic weights in the network during plasticity. After each batch of le...
<p>(A, B, C) These plots show the strength of synaptic outputs of three different cells over the cou...
<p>Hebbian- like LTP plasticity; synaptic change plotted against Δ<i>s<sub>t</sub></i> (defined as t...
<p>Average synaptic weights for three different connection types: feedforward (squares), feedback (c...
<p>The averaged weights after learning are shown. The height of each bar reflects the synaptic stren...
<p>(A) Evolution of synaptic weights in the neural circuit on inputs from the MNIST database. (B) Ev...
<p>Non-Hebbian LTP post-synaptic plasticity; synaptic change plotted against (defined as the time i...
<p><b>A</b>: The training set, consisting of five samples of a handwritten <i>1</i>. Below a cartoon...
<p>Non-Hebbian LTP pre-synaptic plasticity; synaptic change plotted against (defined as the time in...
<p>Boxplots showing the characteristics of the dense collar (<i>blue</i>) and lip (<i>orange</i>) of...
<p>Average synaptic weights for three different connection types: feedforward (squares), feedback (c...
<p>The top and the middle show the averaged weights before and after learning, respectively. The hei...
<p>The input synaptic weight values are plotted in chronological order, with respect to their associ...
<p>Distribution of synaptic weights for three different connection types: feedforward (left), feedba...
<p>(A) Fraction of erroneous network decisions against training week, with a ‘week’ consisting of th...
<p><b>(A)</b> Evolution of synaptic weights in the network during plasticity. After each batch of le...
<p>(A, B, C) These plots show the strength of synaptic outputs of three different cells over the cou...
<p>Hebbian- like LTP plasticity; synaptic change plotted against Δ<i>s<sub>t</sub></i> (defined as t...
<p>Average synaptic weights for three different connection types: feedforward (squares), feedback (c...
<p>The averaged weights after learning are shown. The height of each bar reflects the synaptic stren...
<p>(A) Evolution of synaptic weights in the neural circuit on inputs from the MNIST database. (B) Ev...
<p>Non-Hebbian LTP post-synaptic plasticity; synaptic change plotted against (defined as the time i...
<p><b>A</b>: The training set, consisting of five samples of a handwritten <i>1</i>. Below a cartoon...
<p>Non-Hebbian LTP pre-synaptic plasticity; synaptic change plotted against (defined as the time in...
<p>Boxplots showing the characteristics of the dense collar (<i>blue</i>) and lip (<i>orange</i>) of...
<p>Average synaptic weights for three different connection types: feedforward (squares), feedback (c...