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Ben Kennedy Explainers · Inside a Spiking Neural Network
Events, not streams

Silence is cheap.
Spikes carry the news.

Watch a network that only speaks when something happens. Events move, quiet connections rest, and timing itself carries information. Tune the neuron and see the model respond.

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What’s Happening Now · Reading events over time event driven
Animated diagram of a spiking neural network processing timed events. Events over time

01 · Goal

Use timing as part of the message.

A spiking network stays quiet until an event matters. When enough evidence arrives, a neuron emits a brief spike.

Nothing moves
until it matters.

A spiking network spends energy only on events. Evidence accumulates, a threshold decides, and a brief spike carries the result forward. The quiet in between is not waste. It is the design.

Ben Kennedy is an AI Engineer and Researcher, PhD in Artificial Intelligence. Founder of Kennedy Applied Sciences Research Group, a self-funded applied AI research practice, and creator of StratoSort.

This explainer connects to my ongoing STAC research on neuromorphic spiking neural networks.