class brainpy.math.syn2post_max(syn_values, post_ids, post_num, indices_are_sorted=False)[source]#

The syn-to-post maximum computation.

This function is equivalent to:

post_val = np.zeros(post_num)
for syn_i, post_i in enumerate(post_ids):
  post_val[post_i] = np.maximum(post_val[post_i], syn_values[syn_i])
  • syn_values (ArrayType) – The synaptic values.

  • post_ids (ArrayType) – The post-synaptic neuron ids. If post_ids is generated by brainpy.conn.TwoEndConnector, then it has sorted indices. Otherwise, this function cannot guarantee indices are sorted. You’s better set indices_are_sorted=False.

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

  • indices_are_sorted (whether post_ids is known to be sorted.) –


post_val – The post-synaptic value.

Return type: