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pre2post_event_sum

pre2post_event_sum#

class brainpy.math.pre2post_event_sum(events, pre2post, post_num, values=1.0)[source]#

The pre-to-post event-driven synaptic summation with CSR synapse structure.

When values is a scalar, this function is equivalent to

post_val = np.zeros(post_num)
post_ids, idnptr = pre2post
for i in range(pre_num):
  if events[i]:
    for j in range(idnptr[i], idnptr[i+1]):
      post_val[post_ids[i]] += values

When values is a vector (with the length of len(post_ids)), this function is equivalent to

post_val = np.zeros(post_num)

post_ids, idnptr = pre2post
for i in range(pre_num):
  if events[i]:
    for j in range(idnptr[i], idnptr[i+1]):
      post_val[post_ids[i]] += values[j]
Parameters:

  • events (ArrayType) – The events, must be bool.

  • pre2post (tuple of ArrayType, tuple of ArrayType) – A tuple contains the connection information of pre-to-post.

  • post_num (int) – The number of post-synaptic group.

  • values (float, ArrayType) – The value to make summation.

Returns:

out – A tensor with the shape of post_num.

Return type:

ArrayType

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