Classification: recep_field.py

[sujay-pandit]

In the convolution part of the code the boundary for the window needs to be made 27 and not 15.
#Convolution
for i in range(28):
for j in range(28):
summ = 0
for m in ran:
for n in ran:
if (i+m)>=0 and (i+m)<=27 and (j+n)>=0 and (j+n)<=27:
summ = summ + w[ox+m][oy+n]*inp[i+m][j+n]/255
pot[i][j] = summ
return pot

[rena-zhao]

yes，you are right!

[rao208]

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

1. Why is Pth set to 150? Why does it say "Should be Pth = 6 for deterministic spike train"?
2. Why is T = 200?
3. Why is w_max = 0.5 and w_min = -0.5?
4. What is t_back, t_fore, T?

classification/neuron.py

1. Is Pmin set to some random number?
2. Difference between Prest and Pref?

classification/recep_field.py

1. 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