<p>Information storage capacity per synapse versus the number of synaptic inputs, for dense (<i>p</i> = 0.5), sparse (<i>p</i> = 0.05), and very sparse (<i>p</i> = 0.005) coding. Lines show analytic results, while points show numerical results. For small number of synapses, each additional synapse contributes equally to the information. However, for many synapses, information per synapse decreases as .</p
Accurate models of synaptic plasticity are essential to understand the adaptive properties of the ne...
<p>The capacities for the recognition task (<a href="http://www.ploscompbiol.org/article/info:doi/10...
AbstractIt is widely believed that synaptic modifications underlie learning and memory. However, few...
<p>Information storage capacity per synapse versus the number <i>W</i> of synaptic states, for dense...
Experimental investigations have revealed that synapses possess interesting and, in some cases, unex...
SummaryExperimental investigations have revealed that synapses possess interesting and, in some case...
<p>A. The synaptic information capacity versus the coding density for soft-bound (solid line) and ha...
<p>a. Optimal information capacity as a function of , the average number of activated synapses after...
(A) Storage capacity of the network as a function of r1 with the learning rule defined in Eq (6) (B)...
<p><b>B</b>. Distribution of synaptic weights for , at maximal capacity (). Red: analytical calculat...
<p>Blue is for a fixed threshold and fluctuations in the number of selective neurons per pattern. Gr...
(a) Capacity curves are plotted for pattern densities ranging from 0.8% to 18%. Dendrite size is plo...
Here we analyze synaptic transmission from an information-theoretic perspective. We derive closed-fo...
Here we analyze synaptic transmission from an infonnation-theoretic perspective. We derive c1osed-fo...
International audienceIt is widely believed that synaptic modifications underlie learning and memory...
Accurate models of synaptic plasticity are essential to understand the adaptive properties of the ne...
<p>The capacities for the recognition task (<a href="http://www.ploscompbiol.org/article/info:doi/10...
AbstractIt is widely believed that synaptic modifications underlie learning and memory. However, few...
<p>Information storage capacity per synapse versus the number <i>W</i> of synaptic states, for dense...
Experimental investigations have revealed that synapses possess interesting and, in some cases, unex...
SummaryExperimental investigations have revealed that synapses possess interesting and, in some case...
<p>A. The synaptic information capacity versus the coding density for soft-bound (solid line) and ha...
<p>a. Optimal information capacity as a function of , the average number of activated synapses after...
(A) Storage capacity of the network as a function of r1 with the learning rule defined in Eq (6) (B)...
<p><b>B</b>. Distribution of synaptic weights for , at maximal capacity (). Red: analytical calculat...
<p>Blue is for a fixed threshold and fluctuations in the number of selective neurons per pattern. Gr...
(a) Capacity curves are plotted for pattern densities ranging from 0.8% to 18%. Dendrite size is plo...
Here we analyze synaptic transmission from an information-theoretic perspective. We derive closed-fo...
Here we analyze synaptic transmission from an infonnation-theoretic perspective. We derive c1osed-fo...
International audienceIt is widely believed that synaptic modifications underlie learning and memory...
Accurate models of synaptic plasticity are essential to understand the adaptive properties of the ne...
<p>The capacities for the recognition task (<a href="http://www.ploscompbiol.org/article/info:doi/10...
AbstractIt is widely believed that synaptic modifications underlie learning and memory. However, few...