I agree. Above I mention that neurons have finite resources so synaptic strength is essentially zero-sum. When a new set of synapses becomes strengthened, it im

I agree. Above I mention that neurons have finite resources so synaptic strength is essentially zero-sum. When a new set of synapses becomes strengthened, it implies that all the other synapses must be weakened by some amount. Here is a nice animation of signal propagation in biological neural nets: https://youtu.be/WCqNn9PEELw https://youtu.be/WCqNn9PEELw To simulate the dynamics of synaptic strength I created 3D mesh of a dendrite segment with several synapses... https://youtu.be/tDKUU0SqbSA https://youtu.be/tDKUU0SqbSA Then I simulate the diffusion of AMPA receptors on the surface (the number of AMPAR in a synapse is proportional to its strength)... https://youtu.be/6ZNnBGgea0Y https://youtu.be/6ZNnBGgea0Y I don't have animations of this process but you can imagine what happens when one synapse holds onto receptors longer than the others (has a reduced particle diffusion rate), when there are a finite number of receptors