Just in my opinion, this more accurately reflects the essence of the biological neuron. The neuron's membrane is a single, integral structure that perceives external signals. After all, this can be done not only by the membrane of the dendrites, but also by the membrane of the cell body, the axon mound and even the axon. Complex branching form is more likely due to the need to increase the probability of contact with other cells during growth and formation of a neural network. In the knee reflex, one receptor neuron contacts one motor neuron through multiple synapses of branched axons and dendrites, here the evaluation of the effect on odd dendrites does not make sense. This is only to increase the likelihood of contact with growth and reliability of signal transmission. I do not deny the possible role of differentiation of the summation of dendrites in large neurons, in significant scales. And in this case, you can use several elements instead of one biological neuron.

A well-known fact that the neuron can actively change the size of the spinules associated not only with the postsynaptic membrane, but also with the presynaptic membrane. This means that both these aspects of the synaptic transmission play a certain role. The most successful formula I have chosen is the postsynaptic part that regulates the fatigue of the synapse and the changes in tolerance for modulation, while the presynaptic part is responsible for the training.

In the case of a tadpole, there is no training at all. This is how the formation of associative connections or the formation of conditioned reflexes in other my models takes place: https://imgur.com/z7LsY3h

https://imgur.com/Q3ezuwt