# PyNN **Entity class:** Concept or analytic term **Type:** Neural simulator interface **Collection:** [[collections/Neurotech|Neurotech]] **Primary source:** [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]] ## Definition PyNN is a neural simulator interface identified in the source article's a common model-description layer across neural simulators and hardware layer. ## Relationships [[wiki/PyNN|PyNN]] is related to [[wiki/Spiking Neural Network Simulator|Spiking Neural Network Simulator]] as a common model-description layer across neural simulators and hardware. <!-- BEGIN HUMANIZED RELATIONSHIPS 2026-09-11 --> This entry's documented connections are expressed in its definition and related-work routes, with provenance retained in the source-linked material. <!-- END HUMANIZED RELATIONSHIPS 2026-09-11 --> ## Source route [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]] · [[collections/Neurotech|Neurotech]] ## Related Work in the Corpus <!-- BEGIN HUMANIZED CORPUS ROUTES 2026-09-11 --> - In [[articles/The Organic-Synthetic Brain Atlas|The Organic-Synthetic Brain Atlas]], **IV.7 — Software Simulators and the Algorithm Development Stack** provides the narrative context for **PyNN**: The convergence with conventional deep learning is being pursued through snnTorch, Norse, SpikingJelly, and similar frameworks that integrate spiking neural network primitives into PyTorch and TensorFlow workflows, allowing… <!-- END HUMANIZED CORPUS ROUTES 2026-09-11 -->