<p>The neuron is trained to memorize all patterns correctly in a maximum number of 500 epochs. The reaching points of 500 epochs are regarded as failure of the learning. The cases of 500, 750 and 1000 synapses are denoted by blue, red and green parts, respectively. The marked lines denote average learning epochs and the shaded areas show the standard deviation. The dashed line at 100 epochs is used for evaluating the efficient load described in the main text. All the data are averaged over 100 runs.</p
<p><b>A:</b> Fraction of pattern where the network generates an output spike within 2 ms distance of...
(A) Input activity in the raster plot, five hundred afferents (80% excitatory and 20% inhibitory) se...
<p>Blue is for a fixed threshold and fluctuations in the number of selective neurons per pattern. Gr...
<p>(A) The number of learning epochs required for correct learning as a function of the load , for ....
<p>The input patterns are classified into 3 classes. (A)–(C) The average minimum number of epochs re...
<p>The network contained a single postsynaptic neuron, and was trained to classify input patterns in...
<p>The neuron is trained in a maximum number of 500 epochs to correctly memorize a set of 10 spike p...
<p>The capacities for the recognition task (<a href="http://www.ploscompbiol.org/article/info:doi/10...
(a) Dots show trace strengths of individual trained (blue) and untrained (red) patterns. The time at...
<p>The top and the middle show the averaged weights before and after learning, respectively. The hei...
<p>The trained neuron receives inputs from 500 neurons. The spike trains received from these neurons...
<p>The input synaptic weight values are plotted in chronological order, with respect to their associ...
(a) Capacity curves are plotted for pattern densities ranging from 0.8% to 18%. Dendrite size is plo...
<p>(A): Learning speed when , or . The bar graph and error bars depict sample means and standard dev...
A simple analytical study of a short term memory model is performed. This model consists of a symmet...
<p><b>A:</b> Fraction of pattern where the network generates an output spike within 2 ms distance of...
(A) Input activity in the raster plot, five hundred afferents (80% excitatory and 20% inhibitory) se...
<p>Blue is for a fixed threshold and fluctuations in the number of selective neurons per pattern. Gr...
<p>(A) The number of learning epochs required for correct learning as a function of the load , for ....
<p>The input patterns are classified into 3 classes. (A)–(C) The average minimum number of epochs re...
<p>The network contained a single postsynaptic neuron, and was trained to classify input patterns in...
<p>The neuron is trained in a maximum number of 500 epochs to correctly memorize a set of 10 spike p...
<p>The capacities for the recognition task (<a href="http://www.ploscompbiol.org/article/info:doi/10...
(a) Dots show trace strengths of individual trained (blue) and untrained (red) patterns. The time at...
<p>The top and the middle show the averaged weights before and after learning, respectively. The hei...
<p>The trained neuron receives inputs from 500 neurons. The spike trains received from these neurons...
<p>The input synaptic weight values are plotted in chronological order, with respect to their associ...
(a) Capacity curves are plotted for pattern densities ranging from 0.8% to 18%. Dendrite size is plo...
<p>(A): Learning speed when , or . The bar graph and error bars depict sample means and standard dev...
A simple analytical study of a short term memory model is performed. This model consists of a symmet...
<p><b>A:</b> Fraction of pattern where the network generates an output spike within 2 ms distance of...
(A) Input activity in the raster plot, five hundred afferents (80% excitatory and 20% inhibitory) se...
<p>Blue is for a fixed threshold and fluctuations in the number of selective neurons per pattern. Gr...