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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Sensitivity to scal<strong>in</strong>g of depression<br />
frac. synapses<br />
0.12<br />
0.1<br />
0.08<br />
0.06<br />
0.04<br />
0.02<br />
rate [Hz]<br />
200<br />
150<br />
100<br />
50<br />
0<br />
5 15 25<br />
time [s]<br />
◮ at higher α (stronger<br />
depression), here 2%, a<br />
new stable state emerges<br />
at a lower rate<br />
◮ but, if α chosen 2% too<br />
low, the network explodes<br />
0<br />
0 50 100 150 200 250 300<br />
weight [pA]<br />
◮ new regime displays<br />
strongly patterned activity<br />
<strong>in</strong>terspersed with silence<br />
freiburg
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