Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

Open source SDK to create applications leveraging event-based vision hardware equipment

RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.

Low-level Python APIs for Accessing Neuromorphic Devices.

DDD20 End-to-End Event Camera Driving Dataset

OpenN@S: Open-source software to NAS automatic VHDL code generation

An open-source cross-platform package to analyze and post-process spiking information obtained from neuromorphic cochleas

Brilliantly Radical Artificially Intelligent Neural Machine

A labeled dataset from a subset of the MVSEC dataset for car detection at night driving conditions.

Neuromorphic Auditory Visualizer Tool

Neuromorphic architectures are hardware architectures that use the biologically inspired neural functions as the basis of operation. Information processing based on spiking neuron architectures have caught considerable attention in recent years due to its low power consumption compared to traditional artificial neural networks. In this project, …

Bio-inspired navigation system for artificial agents using spiking neural networks

Video to AER data synthesis model for robust data conversion and architecture exploration.

Error Signals For Adaptive Neuro-Robotics: preliminary experiment

Runs networkx graphs representing spiking neural networks of LIF-neurons on lava-nc or networkx.

A fully-functional sparse-learning spike-based bio-inspired hippocampal memory model implemented with SNN technology in the SpiNNaker hardware

Repository for all materials of the UZH/ETH course in Neuromorphic Engineering I

Classification of radio signals on a neuromorphic chip in space

Analysis of neuro morphic circuits.