Closed kalok87 closed 10 years ago
Sorry for the late reply!
1) From the commandline (if you aren't using the notebook) you can switch between stimuli as follows:
./topographica -p dataset='Nature' gcal.ty
The options are Gaussian'
, 'Nature'
or 'VGR'
In the notebook environment you can switch by setting p.dataset='Nature'
(for instance).
2) I've implemented the PlotSaver
class to offer this functionality. For instance you can do:
from dataviews.plots import PlotSaver
PlotSaver(topo.sim.V1.LGNOnAfferent.view(0,0), filename='V1_CF.png')
Note: you will need to pull the latest topographica for this to work!
3) The simplest way to avoid edge effects is to increase the V1 area (e.g p.area=1.5
) and then crop any maps you measure to the central unit area after you measure them.
4) We have added a new Tutorial which shows pinwheel and hypercolumn anaylsis (see the "GCAL Collector Tutorial")
Hope that helps! Again, sorry for the late reply...
I will close this issue now as I think I've answered all your questions. I will re-open this issue if you have any more comments about problems you have encountered.
Hallo, dear developers,
After using topo several times, I get some ideas but I do not how to implement it in the notebook gcal.ipnb, so I need your help, thank you.
1) Actually I see three different stimuli in code (one is Gaussian, one is natural photos, one is VGR). But I only see one stimulus throughout simulation which is Gaussian (I always save the activity). Is that possible to use other two stimuli? If it is, what should I do?
2) During the run, I want to save the plots of connection. Like topo.sim.V1.LGNOnAfferent.view(0,0) + topo.sim.V1.LateralInhibitory.view(0,0) + topo.sim.V1.LateralExcitatory.view(0,0), what is the command to access this task?
3) For getting a map with higher resolution, I need to do simulation in a larger map. So I decide to change retina_density and lgn_density to 48 and cortex_density to 98. But what else should I modify in order to avoid edge effect.
4) In the new update, a lot of fascinating features occur, like pinwheel estimator. But how to use those features in gcal.ipnb.
Thank you very much. Kalok