Small error in the Maass_Natschlaeger_Markram_2002 example

[bjourne]

Maass 2002 says:

In the case of a synaptic connection from a to b, we modeled the synaptic dynamics according to the model proposed in Markram, Wang, and Tsodyks (1998), with the synaptic parameters U (use), D (time constant for depression), and F (time constant for facilitation) randomly chosen from gaussian distributions that were based on empirically found data for such connections. Depending on whether a, b were excitatory (E) or inhibitory (I), the mean values of these three parameters (with D, F expressed in second, s) were chosen to be .5, 1.1, .05 (EE), .05, .125, 1.2 (EI), .25, .7, .02 (IE), .32, .144, and .06 (II). The SD of each parameter was chosen to be 50% of its mean (with negative values replaced by values chosen from an appropriate uniform distribution).

So the line

synapses.U[:] = np.random.normal(U, 0.5, size=N_syn)

should be

synapses.U[:] = np.random.normal(U, 0.5 * U, size=N_syn)

The change doesn't affect the result afaict.

[mstimberg]

Many thanks (apologies for the late reply…), that sounds right – for D and F, this seemed to have been applied correctly.