old_parameters

Differences between simulations in old simulations

*only_LGN
(PyrCell) self.synI.tau1 = 4
(GlutGABA_sin) delayGlutGABA = 1
(input to net 1) input = 0.5
(input to net 1) stim2 = h.NetCon(netStim[0],Glutneurons[1].synE,0.5,0,4./(100000))

*connected_circuits
(PyrCell) self.synI.tau1 = 1
(Glutnt1nt2_sin) delayGlutnt1nt2 = 10
(Glutnt2nt1_sin) delayGlutnt2nt1 = 10
(GlutGlutneurons_W12 and GlutGlutneurons_W21) BUG: Connection matrix between E_LGN and E_L4 is with a subtracted diagonal
(GlutGABA_sin) delayGlutGABA = 5
(input to net 1) input = 0.1
(input to net 1) netStim[stim_i].start=10
(input to net 1) stimrate = 1
(input to net 1) stim2 = h.NetCon(netStim[1],Glutneurons[1].synE,0.5,0,4./(100000))

*connected_circuits_with_TRN
(PyrCell) self.synI.tau1 = 4
(Glutnt1nt2_sin) delayGlutnt1nt2 = 3
For sfn -> (Glutnt1nt2_sin) delayGlutnt1nt2 = 4
(Glutnt2nt1_sin) delayGlutnt2nt1 = 8
(GlutGABA_sin) delayGlutGABA = 1
(input to net 1) input = 0.5
(input to net 1) netStim[stim_i].start=10
(input to net 1) stimrate = 5
(input to net 1) stim2 = h.NetCon(netStim[0],Glutneurons[1].synE,0.5,0,4./(100000))

*connected_circuits_with_TRN
(Glutnt2nt1_sin) delayGlutL6nt1 = 8
For sfn -> distribution = (np.random.exponential(1,len(Glutneurons2)*len(Glutneurons))*4)+4

*connected_circuits_withTRN_L6_outputloop.py
(GlutL6nt1_sin) delayGlutL6nt1=8
For sfn -> delayGlutL6nt1 was exchanged for a distribution = (np.random.exponential(1,len(Glutneurons2)*len(Glutneurons))*4)+4
(GlutGABAtneurons_sin1) delayGlutGABAtneurons = 1

*connected_circuits_withTRN_output loop.py
(simulation step) h.dt = 2
(Glutnt1nt2_sin) delayGlutnt1nt2 = 10
(Glutnt2nt1_sin) delayGlutnt2nt1 = 10
(GlutGABAtneurons_sin1) delayGlutGABAtneurons = 5