Some connections are excitatory, so they have positive weights, while others are inhibitory, so they have negative weights. And the way to figure out whether a particular neuron fires, is to take the activation of each input neuron and multiply by its weight, and then add these all together. If their sum is greater than some number called the bias, then the neuron fires, but if it's less than that, the neuron doesn't fire.
So here's a basic model of how neurons in our brains work. An individual neuron can either fire or not, so its level of activation can be represented as a one or a zero. The input to one neuron is the output from a bunch other neurons, but the strength of these connections between neurons varies, so each one can be given a different weight.
synapse is like a connection bettwen the neurons i think
can you give me a clear distinction of a synapse from a neuron?
from lowest synapse brain to highest: dumb,dumb,normal,smart
could a single one of these neurons be made in real life with simple electronic components?
Emp~ <<<COMMENT TOO SHORT??