Spiking Neural Networks

Spiking Neural Networks (SNNs) mimic the way the brain processes information using spikes, or brief bursts of electrical activity, instead of traditional continuous signals. In SNNs, neurons communicate by firing spikes at specific times, capturing the timing of these events, which allows for richer information representation. This model mirrors biological neural networks more closely, potentially leading to more efficient and powerful computation. SNNs are particularly promising for tasks involving sensory data, such as vision and hearing, as they can efficiently process temporal patterns and adapt to dynamic environments, much like the human brain does.