-
Notifications
You must be signed in to change notification settings - Fork 127
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
TEST add-nest-example-scripts #802
base: master
Are you sure you want to change the base?
TEST add-nest-example-scripts #802
Conversation
@apdavison Added another script as per this: Link |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
The comments from #801 also apply to the additional examples here:
- All example scripts should work with the nest, neuron and brian2 backends.
- The backend to use should be specified on the command line, and retrieved using the get_simulator() function from pyNN.utility. See examples/small_network.py for an example of this.
- Use save(figure_filename) instead of show()
- The top-level docstring should follow the example in examples/small_network.py
def output_rate(spec_dict, guess): | ||
|
||
newsim = testpynn.nest | ||
newsim.setup(timestep=0.1) |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
I suggest moving the network creation outside the function, as is done in the PyNEST implementation. Inside the function, you just need to change the input rate, use sim.run(...)
, then neuron.get_data(clear=True)
(the clear=True
argument removes the data from the population after you've retrieved them)
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
@apdavison 'sim.reset()' doesn't work with NEST. This was one of the primary reason as to implement inside the function call.
Sim.run() will continue the simulation from previous checkpoint which is opposite to what I desired for.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
For balanced_neuron_example
, my results still differ from native NEST example? Is it fine? Is it due to the core implementation being reason for two different resultant value?
@apdavison So for one_neuron example, do you mean I develop three separate scripts each for 3 simulators? But Isn't this example a native NEST example? If that is something you meant, Do I need to go through simple network example from each simulator and then implement script to support each of these simulators? While adding examples to PyNN was just an approach to get familiarity with PyNN, if this is the case, I may not be able to complete the Primary Project which was to add e-props support to PyNN. Would you please clarify a bit as I might have misunderstood? |
I just updated |
Balanced Neuron Example
IAF neuron example with current generator
Resultant inhibitory frequency differs from NEST example for
Balanced Neuron Example