Nengo
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About
Nengo is a Python package for building, testing, and deploying neural networks. It supports spiking and traditional non-spiking models and offers both fully scriptable and GUI-based development. Nengo is highly customizable, allowing users to define their own neuron types, learning rules, and optimization methods. It is used to implement networks for deep learning, vision, motor control, visual attention, serial recall, action selection, working memory, attractor dynamics, inductive reasoning, path integration, and planning with problem solving. Nengo has libraries specifically designed to help with cognitive modelling, deep learning, adaptive control, and accurate dynamics.
Platform
Task
Features
• highly customizable or use available modules
• fully scriptable or gui-based development
• spiking or traditional non-spiking models
• define your own neuron types, learning rules, optimization methods, reusable subnetworks
• extensible and flexible
• exploits the latest hardware
• tackles dynamic information processing
• builds, tests, and deploys neural networks.
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