Spike-timing dependent plasticity in balanced random networks
Spike-timing dependent plasticity in balanced random networks
Spike-timing dependent plasticity in balanced random networks
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a<br />
0.2<br />
fr<br />
Activity <strong>in</strong> a fully plastic network<br />
0<br />
0 500 1000 1500 2000<br />
time [s]<br />
0<br />
35 45 55<br />
weight [pA]<br />
C<br />
6 x 10−4 τ [ms]<br />
4<br />
D<br />
6 x 10−4 τ [ms]<br />
4<br />
C(τ)<br />
2<br />
2<br />
0<br />
0<br />
−2<br />
−2<br />
−75 −50 −25 0 25 50 75<br />
−75 −50 −25 0 25 50 75<br />
◮ AI dynamics<br />
◮ rate slightly higher (8.8 Hz) than <strong>in</strong> static network (7.7 Hz)<br />
◮ similar Fano factor and coefficient of variation<br />
freiburg
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