www.neuron.yale.edu

I am having trouble using Vector.play() and NetCon/NetStim together with CVODE and SaveState.restore(). I run the simulation until my model reaches steady state, then I save with SaveState.save(), and then I inject an arbitrary current into the cell after SaveState.restore(). A NetCon/NetStim combin...

so it has NOT YET been documented in the Programmer's Reference! even though it appears in several blocks of example code in the Programmer's Reference!! Haha. Understood. Thank you for the explanation. I will make sure I use cvode_active() whenever I use cvode. Just an update, the problematic mode...

Hmmm I had tried cvode_active() in the original code, but without the test section it still produced the same error. However, test section + cvode_active(1) both issues disappear. Thank you for the suggestion. I will try it in my full script. In the hot tip about using cvode_active() , you mention t...

Ok, when I add a section, Issue #2 dissapears, but Issue #1 (h.t >> h.tstop) remains (code below). However, the reason why I'm posting what appears to be a contrived example is because I'm experiencing an intermittent, hard-to-reproduce issue in a script that works with more complex model's I'm work...

I'm running into issues where h.t runs past h.tstop and cvode.events are triggered too early while using cvode. I've managed to reproduce the issues with this snippet: Using NEURON 7.5 master (6b4c19f) on Windows (same issue on NRN 7.4 on Ubuntu 16.04), paste the following in python console: from ne...

Thank you

Thank you!

Given a NetCon instance whose source is section membrane potential, is it possible to extract the actual x value location on the pre-section? For example, the following minimal python code only returns either 0, 0.5, or 1.0 fractions. from neuron import h, gui soma = h.Section() soma.nseg = 10 h.Net...

Should NetStim events not be expected to be exact when noise=0? I observe the following dt dependent variations in the event timing with noise = 0. After running the following: from neuron import h,gui t = [] def collect(): t.append(h.t) ns = h.NetStim(0.5) ns.start = 0 ns.interval = 1 ns.number = 1...

To summarize, the following, fully Python, code will stimulate a synapse at 50, 60, and 100 ms: from neuron import h, gui soma=h.Section() soma.insert('pas') syn=h.ExpSyn(soma(0.5)) nc=h.NetCon(None,syn) nc.weight[0]=1.0 def synStim(): nc.event(50) nc.event(60) nc.event(100) fih = h.FInitializeHandl...

Hello, It appears that if the SUFFIX in the NEURON section of a .mod file is more than 48 characters long, then compiling the mod file with "nrnivmodl" command results in a hard-to-debug error. For example, the following suffix: NEURON { SUFFIX napf_spinstell__a0__b0__c0__d0__fastNa_shiftm...

Commenting out the "gcc -g ..." lines avoided the problem, but then sent me down another rabbit hole of issues. I was able to get past the error by following the suggestion here: http://stackoverflow.com/questions/27976312/how-to-cope-with-non-gcc-compatible-code-in-os-x-yosemite-core-head...

Would anyone support a StackOverflow -like Q&A site for NEURON and computational neuroscience in general? The benefits of such a site would be as follows: Best questions and answers are voted up by the community, flowing to the top of the page People with best questions and best answers gain rep...