There aren’t any good analogies for it and its not fully understood.
Neurons have inputs from other neurons and outputs to other neurons. Each neuron essentially gets to decide to continue a signal or not. This on its own doesn’t mean much but in a large network of billions of neurons this allows for the emergence of thought.
It’s also not static, neurons can change which other neurons they are connected to, connections that are seldom used can be lost, etc. so while u are bouncing signals around a complicated network, that network is also constantly re-arranging itself.
Latest Answers