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

Keras implementation of Legendre Memory Units

Nengo interactive visualizer

Deep learning integration for Nengo

Nengo library of additional extensions

OpenCL-based simulator for Nengo neural models

Implementation of the Semantic Pointer Architecture for Nengo

Train your deep learning model only by dragging & dropping blocks.

Nengo extension to connect to FPGAs

SpiNNaker based Nengo simulator.

Pacman AI with the Nengo Neural Engineering Framework

STDP implementation for Nengo and single layer network

Spiking Semantic SLAM (& path integration) with Spatial Semantic Pointers (SSPs) in Nengo and Nengo-Loihi

Python implementation of neuron models like LIF and Izhekevich models.

Recursively generate large-scale Nengo models using NumPy semantics.

Partial Differential Equation (PDE) solver using neural networks with the Nengo package.

Creating Terry's Tower of Hanoi in Nengo 2.0

Exploration of brain-inspired computing architectures through computational neuroscience models, focusing on point neuron dynamics and spiking neural networks (SNNs) using Nengo. Bridges concepts from neuroscience, computer science, and electrical engineering.

Spiking neural networks for image classification using Nengo and NengoDL.

Final Year DIssertation Project