Caesar AI Atlas

Spiking Neural Network

Caesar AI Atlas Definition

A spiking neural network is a neural network model that represents information through discrete spikes over time. It more closely resembles biological neural signaling than many conventional artificial neural networks by incorporating temporal dynamics and neuronal state.

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Spiking Neural Network Source

An artificial neural network that more closely mimics a natural neural network. In addition to neuronal and synaptic state, SNNs incorporate the concept of time into their Operating Model.

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