Brilliantly Radical Artificially Intelligent Neural Machine

A mixing of neuromorphic and quantum computing for the Comparative Machine Learning class

Structured clustering for memristive crossbar based neuromorphic architectures

Long short-term memory Spiking Neural Networks

This repository contains my current doctoral research at the University of Manchester

Error Signals For Adaptive Neuro-Robotics: preliminary experiment

Hardware-Software Co-design of Neuromorphic Networks

A demo for robotic control loop with Intel's Loihi neuromorphic chip used in our papers

A repository for the project of creating a simple neural network by the use of coupled Josephson junctions acting as neurons

Event based aperture robust flow

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、reg…

Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.

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

Implementation of 'Dendritic error backpropagation in deep cortical microcircuits', Sacramento, Senn 2017 in Python.

ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.

Automatic differentiable design of photonic tensor cores