<p>The input synaptic weight values are plotted in chronological order, with respect to their associated firing time. (A) The distribution of weights before learning. (B) Post training under the INST rule. (C) Post training under the the FILT rule. The gold coloured vertical lines indicate the target postsynaptic firing times. Note the different scales of A, B and C. Results were averaged based on 40 independent runs. The design of this figure is inspired from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0161335#pone.0161335.ref009" target="_blank">9</a>].</p
(A) Mean performance (red line) and standard deviation (blue lines) over time: unsupervised training...
<p><b>A</b>: Distribution of firing rates of excitatory neurons. The magenta line shows a log-normal...
<p><b>A</b>: The training set, consisting of five samples of a handwritten <i>1</i>. Below a cartoon...
<p>The top and the middle show the averaged weights before and after learning, respectively. The hei...
<p>Distribution of synaptic weights for three different connection types: feedforward (left), feedba...
<p>Distribution of synaptic weights for different connection types: feedforward (left), feedback (mi...
<p>The averaged weights after learning are shown. The height of each bar reflects the synaptic stren...
<p>Average synaptic weights for three different connection types: feedforward (squares), feedback (c...
<p>(A, B, C) These plots show the strength of synaptic outputs of three different cells over the cou...
<p>Average synaptic weights for three different connection types: feedforward (squares), feedback (c...
<p>The strength of the synaptic weights are indicated by the colour (red being high and blue being l...
<p><b>(A)</b> Evolution of synaptic weights in the network during plasticity. After each batch of le...
<p>These results are from a simulation with an axonal conduction delay of 100 ms, and a rotational v...
(A) Dynamics of all incoming synapses to a single output layer neuron during InterleavedS,T1 trainin...
<p>The development of the firing responses and synaptic weights of output neuron #79 before and afte...
(A) Mean performance (red line) and standard deviation (blue lines) over time: unsupervised training...
<p><b>A</b>: Distribution of firing rates of excitatory neurons. The magenta line shows a log-normal...
<p><b>A</b>: The training set, consisting of five samples of a handwritten <i>1</i>. Below a cartoon...
<p>The top and the middle show the averaged weights before and after learning, respectively. The hei...
<p>Distribution of synaptic weights for three different connection types: feedforward (left), feedba...
<p>Distribution of synaptic weights for different connection types: feedforward (left), feedback (mi...
<p>The averaged weights after learning are shown. The height of each bar reflects the synaptic stren...
<p>Average synaptic weights for three different connection types: feedforward (squares), feedback (c...
<p>(A, B, C) These plots show the strength of synaptic outputs of three different cells over the cou...
<p>Average synaptic weights for three different connection types: feedforward (squares), feedback (c...
<p>The strength of the synaptic weights are indicated by the colour (red being high and blue being l...
<p><b>(A)</b> Evolution of synaptic weights in the network during plasticity. After each batch of le...
<p>These results are from a simulation with an axonal conduction delay of 100 ms, and a rotational v...
(A) Dynamics of all incoming synapses to a single output layer neuron during InterleavedS,T1 trainin...
<p>The development of the firing responses and synaptic weights of output neuron #79 before and afte...
(A) Mean performance (red line) and standard deviation (blue lines) over time: unsupervised training...
<p><b>A</b>: Distribution of firing rates of excitatory neurons. The magenta line shows a log-normal...
<p><b>A</b>: The training set, consisting of five samples of a handwritten <i>1</i>. Below a cartoon...