# Spiking Neural Network **Collection:** [[collections/Neurotech|Neurotech]] **Domain:** Neuromorphic Computing / Computational Neuroscience **Doc Type:** Technical Concept Node **Maturity:** Established research paradigm; workload-dependent deployment value **Primary Source:** [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]] ## Definition A **spiking neural network** (SNN) represents computation through discrete spike events and their timing. Unlike conventional artificial neural networks that update dense continuous activations in synchronized layers, SNNs can encode information in which units fire, when they fire, their rate, and population-level temporal patterns. ## Computational frame The common baseline is the **leaky integrate-and-fire neuron**: incoming spikes raise a membrane-like state, that state decays over time, and crossing a threshold emits a spike before reset. More biophysically detailed models include Izhikevich, Hodgkin-Huxley, and adaptive exponential integrate-and-fire variants. SNNs are attractive where data are sparse, temporal, and event-driven. Potential advantages include low-power inference, precise temporal filtering, recurrent short-term state, and close coupling to event-based sensors. Limits include difficult gradient-based training, hardware-specific constraints, and benchmark-dependent accuracy relative to conventional deep networks. ## Hardware and software context [[wiki/Neuromorphic Computing|Neuromorphic computing]] supplies the larger hardware layer: Intel Loihi, SpiNNaker, BrainScaleS, BrainChip Akida, and related platforms execute or hybridize spiking models. NEST, Brian, GeNN, Nengo, snnTorch, Lava, and hardware-specific frameworks form the development stack. ## Evidentiary boundary Brain-inspired timing and topology do not make an SNN biologically equivalent to a brain. Efficiency figures are meaningful only for specified models, precision, sparsity, latency, and comparison hardware. ## Relationships **Related cluster nodes:** [[wiki/Neuromorphic Computing|Neuromorphic Computing]] · [[wiki/Artificial Neural Networks|Artificial Neural Networks]] · [[wiki/Memristive Neuromorphic Computing|Memristive Neuromorphic Computing]] · [[wiki/Photonic Neuromorphic Computing|Photonic Neuromorphic Computing]] ## Neurotech cluster route **Collection:** [[collections/Neurotech|Neurotech]] **Source articles:** [[articles/2026 Annual Report on Brain-Computer Interfaces|2026 Annual Report on Brain-Computer Interfaces]] · [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]]