Researchers create brain-inspired device to enable optoelectronic computation
How can we design a brain with perfect recall, computational wizardry, and rapier-wit? The brain is made up of about 80 billion neurons, which coordinate through thousands of connections called synapses. The brain does not have a central processor like a laptop.
In contrast, multiple calculations are performed in parallel and the results are compared. Existing mathematical algorithms can be reworked to make systems that operate more like the brain. This brain-inspired computing model, spiked neural networks (SNN), provides a computing architecture that is well aligned with systems using optical and electronic components.
In SNNs information is processed as spikes or actions potentials. These are electrical impulses produced by real neurons during their firing. Asynchronous processing is one of the key features. This means that spikes can be processed as they happen, instead of being processed in batches like traditional neural networks. SNNs can react faster to input changes and perform certain computations more efficiently.
Source:
https://techxplore.com/news/2023-05-team-brain-inspired-device-optoelectronic.html
