CoreNeuron
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BlueBrain
Simulator optimized for large scale neural network simulations.
## The Problem Currently logging in coreneuron is done through a variety of `printf`s, `DEBUG` ifdefs and a bit of MPI to print only on rank 0. This code is...
Currently MPI wrappers implemented in [coreneuron/mpi/mpispike.cpp](https://github.com/BlueBrain/CoreNeuron/blob/5a93d9b2b256a12acbaf83085044aba2cc56746f/coreneuron/mpi/mpispike.cpp#L485) have quite some limitations: * they were derived from old C style code * for different argument types there are different functions i.e. code...
Download model from: https://github.com/Neurosim-lab/netpyne/tree/coreneuron/examples/coreneuron/m1 Mod files compiled correctly after updating vecstim.mod (and removing unused gabab.mod) When running simulation with coreneuron get following errors: > [root@instance-1 m1]# ../bin/nrniv -python init.py >...
The performance of the #446 extension for source to target transfer (e.g. allows transfer of ion concentration) has not been compared to the previous (less general and restricted to gap...
While running valgrind memory checks, I see following possible leaks: ``` mpirun -n 1 /gpfs/bbp.cscs.ch/ssd/apps/hpc/jenkins/deploy/tools/2020-02-01/linux-rhel7-x86_64/gcc-8.3.0/valgrind-3.15.0-wnjdwmga6k/bin/valgrind --leak-check=full bin/x86_64/special-core -e 100 -d ../tests/integration/ring --mpi --ms-phases 2 --ms-subintervals 2 --cell-permute 2 ==185751== Memcheck,...
The spike times of the tut2.py example are different when using coreneuron. This example is a simple 40-neuron network with single-compartment neurons, hh mechanism, Exp2Syn synapses and NetStims. To reproduce:...
Running the CoreNEURON simulation of NetPyNE M1 model on GPUs generates different spikes than the CPU execution. To reproduce the issue I have created scripts for installing the proper versions,...
When `CoreNEURON` is executed in online mode (from inside `NEURON` with `pc.psolve()`) and offline mod (using `special-core`) with the M1 `NetPyNE` model it generates different spikes. To reproduce the issue...
See this internal [JIRA ticket](https://bbpteam.epfl.ch/project/issues/browse/CNEUR-350) : User has input file: ``` /scatter 1000.15876308 221273.0 1000.16120151 221145.0 1000.1612057 221043.0 ``` The second column is gid and it should be integer form...
Similar to the calculation of [fast_imem](https://www.neuron.yale.edu/neuron/static/new_doc/simctrl/cvode.html?highlight=fast_imem#CVode.use_fast_imem) in NEURON we added the same functionality for reporting `i_membrane` in CoreNEURON. There are still some details about this current that need clarification. According...