4 ms·

> spiking neuromorphic processor what is this pls?

• cinntaile 6y ago
  My (non-expert) take on this... A neuromorphic processor is a processor that tries to function as the brain does. I say tries to because the models are still very simplified versions of how we think that a neuron works. The spiking part comes from one of these models. A neuron will only send an electrical signal to another neuron once a certain threshold is met, this is what is meant by a spike. What this allows us to do is to add a temporal/time component to a neural network. You've probably heard of "neurons that wire together, fire together". If you have a lower threshold it means that the neuron you are sending the signal to is more relevant for whatever thought process is going on right now and vice versa. New input can change these thresholds. The biggest promise of spiking neuromorphic computing seems to be a massive reduction in energy usage while still offering decent accuracy. So for example you could use it to train a neural network to get to 80% accuracy after which you'd let another type take over to get to 95%. This field is still in its infancy though, so expect things to change/improve fast.
  • op03 6y ago
    Interesting. Thanks for that.
  • erikerikson 6y ago
    > neurons that wire together, fire together i.e. Hebbian learning Usually with a Hopfield network or something similar. My personal take is that biologically plausible approaches are attempting to discover (and in lieu of understanding, harness) the algorithms (or mechanisms that cause emergent intelligence) of our brains.