igitugraz / lsm Goto Github PK

I have run this code with Python 3.8.0 and nest 2.18.0. But I only run this code in the terminal. When I run or debug this code in pycharm, I get this problem. Can you help me?

Dear Authors,
I tried to install your old LSM implementation, CSim in Ubuntu 18.04, and I followed the user manual, but the command 'install' doesn't work well. The error info is as follows.
make: *** [subdirs] Error 2
Undefined function or variable 'csim'.

Error in install (line 10)
v=csim('version');

Error in install (line 20)
install;

I don't know why and there is no clue in the user manual.

Dear author:
Thanks for your sharing, I have some questions about the architecture of lsm, the papers I read about the architecture of lsm is three dimensions and the connection weight was set according to the distance between neurons, In this implemention, it likes only has two dimension?

Dear all,

May I ask what version of NEST you used in your simulation and what Python version you utilized?

Thanks.

Dear author,
Thanks for your generous sharing. Your code is very helpful for me to understand lsm.
I just wonder how you set the parameters to be the values they are now.

Hi.

I was trying to run the example.py after installing LSM, but I'm getting this error.
I have tried with python and python3

`----@MonNotebook:~/Documentos/LSM_simulator/LSM_IGITUGraz/LSM-master$ python example.py

Traceback (most recent call last):
File "example.py", line 1, in
import nest
File "/home/monkho/.local/lib/python2.7/site-packages/nest.py", line 4
if isinstance(each_item, indent = False ,list):
SyntaxError: non-keyword arg after keyword arg

------@MonNotebook:~/Documentos/LSM_simulator/LSM_IGITUGraz/LSM-master$ python3 example.py

Traceback (most recent call last):
File "example.py", line 1, in
import nest
File "/home/monkho/.local/lib/python3.6/site-packages/nest.py", line 4
if isinstance(each_item, indent = False ,list):
^
SyntaxError: positional argument follows keyword argument

`

Any idea of what I may be doing wrong?

Best regards.