nengo/nengo

A Python library for creating and simulating large-scale brain models

What it solves

Nengo provides a way to build and simulate large-scale neural models in Python, allowing researchers to create complex spiking and non-spiking simulations without needing to write extensive boilerplate code.

How it works

It uses a flexible framework that allows users to define custom neuron types and learning rules. The library can integrate with external hardware, run deep neural networks, and interface with different neural simulators or neuromorphic hardware.

Who it’s for

It is designed for researchers and developers working on brain modelling, neuromorphic computing, and the simulation of neural dynamics.

Highlights

  • Supports both spiking and non-spiking neural simulations.
  • Highly extensible with custom neuron types and learning rules.
  • Capable of driving robots and integrating with hardware.
  • Compatible with various neural simulators and neuromorphic hardware.

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