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How do SNNs differ from traditional Artificial Neural Networks (ANNs)?
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Answer / Babita Chahal
Spiking Neural Networks (SNNs) are a type of artificial neural network that mimics the spiking behavior of biological neurons. Unlike ANNs, which use continuous values and sigmoid activation functions, SNNs use discrete spikes to represent information and time-dependent synaptic plasticity to model learning. This makes SNNs more energy-efficient and better suited for real-time processing tasks such as motion detection and speech recognition.
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