Recursively generate large-scale Nengo models using NumPy semantics.
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Updated
Feb 13, 2021 - Python
Recursively generate large-scale Nengo models using NumPy semantics.
A set of scripts for PCs allowing users to quickly type romanized Japanese vowels with macrons (ex: ō), and quickly switch back and forth to the IME and default keyboard. It also allows for quick "on the fly" conversion of Western years and Japanese imperial era years (nengō/年号) from 1868 onward.
Demo code of neural simulators for Google Colab
Automatic Optimization of the Computation Graph in the Nengo Neural Network Simulator
Python implementation of neuron models like LIF and Izhekevich models.
Neuromorphic Computing & ONNX Project
Learning an Associative Memory in Nengo
Final Year DIssertation Project
Neurobiological simulation assignments as part of SYDE 556/750 2022
Neural model of progression from counting to memorization addition strategies
Partial Differential Equation (PDE) solver using neural networks with the Nengo package.
Population models of temporal differentiation (Tripp and Eliasmith 2010)
A large-scale model of the functioning brain (spaun) (Eliasmith et al. 2012)
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