Comments (2)
Hi @sujay-pandit, it seems that you have figured out the code. If yes, then it would be great if you could help me. I think it is a great repository, but seeing the open issues and unanswered questions, I think the author is not active now, at least not on this repository.
Could you please help me to understand the following (if you know the answer)?
classification/classify.py
- Why is Pth set to 150? Why does it say "Should be Pth = 6 for deterministic spike train"?
- Why is T = 200?
- Why is w_max = 0.5 and w_min = -0.5?
- What is t_back, t_fore, T?
classification/neuron.py
- Is Pmin set to some random number?
- Difference between Prest and Pref?
classification/recep_field.py
- Is w = [[-0.5,-0.125, 0.25, -0.125, -0.5 ],
[-0.125 , 0.25 , 0.625 , 0.25 , -0.125],
[ 0.25 ,0.625 , 1. , 0.625 , 0.25 ],
[-0.125 , 0.25 , 0.625 , 0.25, -0.125],
[-0.5 , -0.125 , 0.25 , -0.125 ,-0.5 ]] randomly set?
Best Regard
from spiking-neural-network.
yes,you are right!
from spiking-neural-network.
Related Issues (20)
- Repository structure HOT 1
- Var_threshold: Training.py
- A doubt about the snn network (on the neurodynamic explanation in the code) HOT 2
- No module named numpy HOT 1
- calculating firing rate proportional to the membrane potential
- Reference Paper HOT 1
- where is "rf" in receptive_field? HOT 1
- 'module' object is not callable HOT 1
- how do I input bigger size image ? HOT 1
- Why this value is choosen for x and y range of interpolation. freq = interp(pot[l][m], [-1.069,2.781], [1,20]) Is there any particular reason ? HOT 1
- unsupervised learning HOT 1
- a small bug
- How to adjust parameters according to my own image in multilayer setting? HOT 1
- Can I put more than one pictures of the same class in the training_image folders?
- accuracy
- ImportError :cannot import name 'reconst' HOT 1
- IndexError: index 16 is out of bounds for axis 0 with size 16 HOT 4
- classify error HOT 1
- Class neuron haven't got Pth attribute HOT 1
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