I'm trying to convert a network built in pyNN to Sonata, using the export_to_sonata function.
A specific cell population should be entirely composed by "parrot neurons" - in the original pyNEST model, this population simply gates some spike-trains and relay them to specific target cells, belonging to three different populations - ; I thought that a reasonable alternative for pyNN could be a SpikeArray.
When I build my Network with populations and projections inside, the export_to_sonata function throws an error if the SpikeArray is included:
TypeError: Object dtype dtype('O') has no native HDF5 equivalent
If I remove the SpikeArray population, the conversion works.
Is there any way to bypass this issue? Maybe I should use something different from a SpikeArray?
Hi,
I'm trying to convert a network built in pyNN to Sonata, using the export_to_sonata function. A specific cell population should be entirely composed by "parrot neurons" - in the original pyNEST model, this population simply gates some spike-trains and relay them to specific target cells, belonging to three different populations - ; I thought that a reasonable alternative for pyNN could be a SpikeArray. When I build my Network with populations and projections inside, the export_to_sonata function throws an error if the SpikeArray is included:
TypeError: Object dtype dtype('O') has no native HDF5 equivalent
If I remove the SpikeArray population, the conversion works. Is there any way to bypass this issue? Maybe I should use something different from a SpikeArray?
Thanks in advance
EDIT: I'm using pyNN version 0.9.4