Spike-timing dependent plasticity in balanced random networks

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Back to the original data (Bi & Poo, 1998) What, if anything, does this tell us about the weight dependency of the STDP update? freiburg
Weight dependency of STDP A PSC change [pA] 300 100 30 10 3 0 −3 −10 −30 −100 −300 30 100 300 1000 3000 Initial PSC [pA] B PSC change [%] 100 ◮ pale gray additive ◮ dark gray multiplicative 50 ◮ power law with µ = 0.4 ◮ depression multiplicative 0 −50 −100 −50 0 50 100 Spike timing [ms] freiburg
Page 1 and 2: Spike-timing dependent plasticity i
Page 3 and 4: Consistency of cortical network mod
Page 5 and 6: Outline Choice of STDP model Plasti
Page 7 and 8: Outline Choice of STDP model Plasti
Page 9: Choice of STDP model ◮ Additive,
Page 13 and 14: Weight dependency of STDP change in
Page 15 and 16: Weight distribution in a fully plas
Page 17 and 18: Individual weight trajectories 56 5
Page 19 and 20: Sensitivity to scaling of depressio
Page 21 and 22: Sensitivity to scaling of depressio
Page 23 and 24: Synchronous stimulation A neuron id
Page 25 and 26: Development of activity during stim
Page 27 and 28: Development of correlation B C(τ)

Spike-timing dependent plasticity in balanced random networks

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