Nengo
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About
Nengo is a versatile Python package designed for the creation, testing, and deployment of neural networks, including both spiking and non-spiking models. Its Nengo GUI provides an interactive live coding environment for development, which can be fully scripted or GUI-based for ease of use. Nengo is highly customizable and allows users to tackle complex dynamic information processing, leveraging the latest hardware technologies. Nengo’s extensible framework enables defining unique neuron types, learning rules, and optimization methods. It supports functionalities like hardware input integration, running deep neural networks, driving robotic actions, and utilizing different neural simulators or neuromorphic hardware. Designed for a diverse range of applications including cognitive modeling, deep learning, motor control, and more, Nengo is positioned as a powerful tool suitable for various scales of development.
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Task
Features
• customizable modules
• dynamic information processing
• build spiking or traditional non-spiking models
• flexible learning rules and optimization methods
• support for various neuron types
• robot control capabilities
• deep learning implementation
• hardware integration
• fully scriptable and gui-based development
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