I have been adviced to see if I can get something from the 'Traub model' (https://senselab.med.yale.edu/ModelDB/s ... odel=45539) to work with the LFPy. However, this model, with its numerous built-in parameters and simulation variants, seems incomparably more complicated than what is offered in the LFPy examples (like one presented here:).

Code: Select all

```
/* create sections */
create soma[1],\
dend1[9],\
dend2[13],\
dend3[5],\
...
apic[83] //dend11[83]
/*----------------------------------------------------------------*/
proc geometry() { local i, j
/* soma[0] geometry */
soma[0] {
nseg = 1
/* diam = 25 */
/* L = 35 */
pt3dadd(0,0,0,25)
pt3dadd(35,0,0,25)
}
/* connect primary neurites */
soma[0] connect dend1[0] (0), 0.5
soma[0] connect dend2[0] (0), 0.5
...
soma[0] connect apic[0] (0), 0.5
/* neurite geometry*/
for i = 0,8 {
dend1[i] {
nseg = fscan()
pt3dclear()
for j = 1, fscan() {
pt3dadd(fscan(),fscan(),fscan(),fscan())
}
}
}
...
/* branching topology*/
for i = 1,8 {
dend1[fscan()] connect dend1[i] (0), fscan()
}
for i = 1,12 {
dend2[fscan()] connect dend2[i] (0), fscan()
}
...
geometry()
NEURITE COORDINATES AND DIAMETERS:
1 4
-54.8 6.5 -25 3.5
-49 5.2 -24.3 3.5
-44.5 7 -23.7 3.5
-42.8 7.2 -24.5 3.5
```

Has anyone the faintest idea how could I extract a little 'fancier' structure form the Traub model that has any chance of working with the LFPy? Or is there any more compatible source of morphology files that you could propose? I might be completely misguided here, this is all extremely new to me. Thanks a lot.