Answer / Rishi Katyal

Spiking Neural Networks (SNNs) are artificial neural networks that mimic the spiking behavior of biological neurons. Instead of continuous values, SNNs use discrete pulses (spikes) to represent the activation of a neuron. These networks can process information asynchronously and more efficiently than traditional artificial neural networks (ANNs), making them suitable for real-time processing, energy-efficient hardware, and applications in robotics and brain-computer interfaces.

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