pre2post_min

class brainpy.math.pre2post_min(pre_values, post_num, post_ids, pre_ids=None)

The pre-to-post synaptic minimization.

This function is equivalent to:

post_val = np.zeros(post_num)
for i, j in zip(pre_ids, post_ids):
  post_val[j] = np.minimum(post_val[j], pre_values[pre_ids[i]])

Parameters:

• pre_values (float, ArrayType) – The pre-synaptic values.

• pre_ids (ArrayType) – The connected pre-synaptic neuron ids.

• post_ids (ArrayType) – The connected post-synaptic neuron ids.

• post_num (int) – Output dimension. The number of post-synaptic neurons.

Returns:

post_val – The value with the size of post-synaptic neurons.

Return type:

ArrayType