Spiking Neural Networks Explained | by Nikita S Raj Kapini | Medium
Curious mind with a passion for both the code and the cells. Blending biology and tech - writing to learn, connect, and decode the brain, one post at a time. Follow writer 1 Listen Share This article is the fifth installment in my Computational Neuroscience series. In the previous post, we explored the Leaky Integrate-and-Fire (LIF) neuron, one of the foundational models of neural computation. We now take the next step, from individual neurons to networks of spikes, and explore how the brain’s event-driven way of computing is inspiring a new generation of AI. Estimates suggest frontier model training may consume tens of gigawatt-hours of electricity. A single inference request on a large language model burns roughly 10× the energy of a Google search. The data centers powering modern AI are on track to consume more electricity by 2030 than some mid-sized countries do today. Now sit with this for a moment: your brain, the same three-pound organ that learns languages, writes poetry, and n