(A) Dependence of p on C for . In the small r1 limit, the optimal potential width C* is zero (i.e., a single well potential), and p decreases weakly with C. The number of stored patterns increases logarithmically with network size, as demonstrated in (C). (B) Dependence of p on C for . The number of stored patterns p reaches its maximum at a nonzero value of C. The optimal storage capacity increases as a power law of N, as demonstrated in (D). (C) Storage capacity of the single-well potential model (C = 0) as a function of with network size N. The storage capacity decreases when r1 increases as indicated by Eq (10). (D) Storage capacity of the double well potential model (C = C*, full lines) as a function of network size N. When , the optim...
scopus:eid=2-s2.0-78751676189 We study the storage of phase-coded patterns as stable dynamical attra...
The rules of information storage in cortical circuits are the subject of ongoing debate. Two scenari...
<p>Blue is for a fixed threshold and fluctuations in the number of selective neurons per pattern. Gr...
(A) Storage capacity of the network as a function of r1 with the learning rule defined in Eq (6) (B)...
(A) Dependence of optimal potential width C* on network size N and potential depth r1. There is a cr...
(A) The storage capacity decreases when the noise strength increases strongly depends on r1. Small v...
<p>a. Optimal information capacity as a function of , the average number of activated synapses after...
<p><b>A,</b> Contour plot of pattern capacity (number of stored memories) as a function of assembly...
<p><b>A.</b> The red plot shows the critical capacity as a function of the size of the basins of att...
International audienceThe optimal storage properties of three different neural network models are st...
<p>a,b. as a function of for the SP model and Parameters are chosen to optimize capacity under th...
When C is small (e.g., C = 0, 1, 2, 3), the storage capacity p monotonically decreases with the nois...
(A) Comparison between the storage capacity of Markovian binary synapses and binarized double well s...
<div><p>(A) The fraction of successful runs versus the storage load, <i>α</i> = <i>p</i>/<i>K<sub>E<...
(a) Capacity curves are plotted for pattern densities ranging from 0.8% to 18%. Dendrite size is plo...
scopus:eid=2-s2.0-78751676189 We study the storage of phase-coded patterns as stable dynamical attra...
The rules of information storage in cortical circuits are the subject of ongoing debate. Two scenari...
<p>Blue is for a fixed threshold and fluctuations in the number of selective neurons per pattern. Gr...
(A) Storage capacity of the network as a function of r1 with the learning rule defined in Eq (6) (B)...
(A) Dependence of optimal potential width C* on network size N and potential depth r1. There is a cr...
(A) The storage capacity decreases when the noise strength increases strongly depends on r1. Small v...
<p>a. Optimal information capacity as a function of , the average number of activated synapses after...
<p><b>A,</b> Contour plot of pattern capacity (number of stored memories) as a function of assembly...
<p><b>A.</b> The red plot shows the critical capacity as a function of the size of the basins of att...
International audienceThe optimal storage properties of three different neural network models are st...
<p>a,b. as a function of for the SP model and Parameters are chosen to optimize capacity under th...
When C is small (e.g., C = 0, 1, 2, 3), the storage capacity p monotonically decreases with the nois...
(A) Comparison between the storage capacity of Markovian binary synapses and binarized double well s...
<div><p>(A) The fraction of successful runs versus the storage load, <i>α</i> = <i>p</i>/<i>K<sub>E<...
(a) Capacity curves are plotted for pattern densities ranging from 0.8% to 18%. Dendrite size is plo...
scopus:eid=2-s2.0-78751676189 We study the storage of phase-coded patterns as stable dynamical attra...
The rules of information storage in cortical circuits are the subject of ongoing debate. Two scenari...
<p>Blue is for a fixed threshold and fluctuations in the number of selective neurons per pattern. Gr...