2 ms·
“In neuromorphic computing, however, a "spike input" — a set of discrete electrical signals — is fed into the spiking neural networks (SNNs), represented by the
by cwillu 3y ago
“In neuromorphic computing, however, a "spike input" — a set of discrete electrical signals — is fed into the spiking neural networks (SNNs), represented by the processors. Where software-based neural networks are a collection of machine learning algorithms arranged to mimic the human brain, SNNs are a physical embodiment of how that information is transmitted. It allows for parallel processing and spike outputs are measured following calculations.
Like the brain, Hala Point and the Loihi 2 processors use these SNNs, where different nodes are connected and information is processed at different layers, similar to neurons in the brain.”
My impression is that there hadn't been much success with SNN's yet.
- andai 3y agoYou are one though.
- umvi 3y agoIt's a bit cargo cult-y to claim that synthetic SNNs and human brains are equivalent just because they share some similarities.
- andai 3y agoIsn't a human brain a spiking neural network? And a successful one at that? I didn't say what we can build now is identical to a human brain (...why would anyone say that?), I said we have proof that the concept is viable, because a spiking neural network is literally the thing reading these words right now.
- cwillu 3y agoHaving checked a mirror, I stand by my initial assessment.
- andai 3y agoMy point was that humans are arguably quite successful, their success is due to their neural networks, and their neural networks are spiking (in contrast to the ones used in LLMs). The spiking might be important, or it might not. (One way to find out!) But we certainly have proof that it can be made to work!