www.neuron.yale.edu

Hi.

The fix solved the issue.
Thank you.

Best
Stefano

Hello. I haven't worked on my RxD model for months and now, after installing the latest NEURON version from git (3 october 2019) to be up to date, my code give rise to an error. The issue is generated by reactions with species placed across different locations, in this case, the soma of two distinct...

Hi. Is there a way to know the concentration of a species, during the simulation, so that it can be used to automatically start specific reactions? I have found this command in the help: https://www.neuron.yale.edu/neuron/static/py_doc/modelspec/programmatic/rxd.html#neuron.rxd.species.SpeciesOnRegi...

Hi. I will soon start working on a particular reaction and, before doing it with a mod file, i tried MultiCompartmentReaction with the lastest code (compiled today). ecs_cell2_membrane = rxd.Region([cell2.soma], name='mem', geometry = rxd.ScalableBorder(1, on_cell_surface=False)) pump_ecs_cell2 = rx...

Hi.
Thank you very much.

Best regards
Stefano

Hi. After some more testing i have some questions: 1) I have recorded a vector, pointed to the outside name of the substance "self.soma(0.5)._ref_xo", to record the concentration in the ecs. The resulting graph is congruent with my expectation since it records only a part of the entire diffusion. ht...

Hi.
Thank you.

Currently the easiest way to do this is with mod files describing pump mechanism.

I'll try this approach.

Hi. I was able to solve most of the workflow but I'm missing something in the "MultiCompartmentReaction". I'm trying to release the substance X, correctly generated in the internal region of cell_1, to the ecs. With the MultiCompartmentReaction wrote in this way: rxd.MultiCompartmentReaction(sub_x[i...

Hi. After reading the 2018 paper, i was wondering if is feasible, with rxd.extracellular, to reproduce the following situation: A substance X is internally produced by cell_1. It is pumped outside the membrane into the extracellular space. Here it diffuses until it reaches cell_2. It is then uptake ...

Hi. I'm trying to compile NEURON on Piz Daint (Cray) but i have encountered an error during the make. export MPICC=cc ./configure --prefix=`pwd` --without-x --with-paranrn --without-nmodl --without-memacs CC=cc CXX=CC With this configure i obtain and "undefined reference to symbol '__tls_get_addr@@G...

Hi. I have changed the previous code with something simpler but there is still something odd. Let assume to connect 10 B_cell to 1 C_cell on the same section ['soma'] with 10 synPerConn. netParams.connParams['B_pop_2_C_pop] = {'preConds': {'pop': 'B_pop'}, 'postConds': {'pop': 'C_pop'}, 'sec': ['som...

Hi Salva.

I think there is an issue with pip --upgrade to 0.7.8. It says that the latest available is the 0.7.7

Cheers
Stefano

Hi Salva. I have a doubt about this for cycle. pop_C = 10 for p in range(0,len(pop_C)): netParams.connParams['Pop_B->Pop_C'+str(p)] = {'preConds': {'pop': 'Pop_B'}, 'postConds': {'pop': 'Pop_C'}, 'weight': 1, 'sec': location[p], 'delay': 0.1, 'loc': 0.5, 'synsPerConn' : 30, 'connList': [Pop_B_2_Pop_...

Hi Salva.

- if you only need the traces, you can reduce the save time by setting cfg.saveDataInclude = ['simData']

With this option and saveMat, the saving time was reduced over 100 times. From minutes/hours to a few seconds.
It is great.

Thank you

Best
Stefano

Hi Salvador. I'm saving the voltage traces of about 200 neurons, into a mat file, and the time to save them can be up to 3 time the total run time of the simulation. The file is saved at the same rate (about 2-3MB/s) on clusters and on workstations with SSD drives, and it is independent on the numbe...