A fully-functional sparse-learning spike-based bio-inspired hippocampal memory model implemented with SNN technology in the SpiNNaker hardware
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Updated
Mar 10, 2023 - Python
A fully-functional sparse-learning spike-based bio-inspired hippocampal memory model implemented with SNN technology in the SpiNNaker hardware
Bioinspired memories in the CA3 region of the hippocampus implemented with SNN technology in the SpiNNaker hardware.
Classification of radio signals on a neuromorphic chip in space
Repository for all materials of the UZH/ETH course in Neuromorphic Engineering I
Runs networkx graphs representing spiking neural networks of LIF-neurons on lava-nc or networkx.
Error Signals For Adaptive Neuro-Robotics: preliminary experiment
Video to AER data synthesis model for robust data conversion and architecture exploration.
Bio-inspired navigation system for artificial agents using spiking neural networks
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, …
Neuromorphic Auditory Visualizer Tool
A labeled dataset from a subset of the MVSEC dataset for car detection at night driving conditions.
Brilliantly Radical Artificially Intelligent Neural Machine
An open-source cross-platform package to analyze and post-process spiking information obtained from neuromorphic cochleas
DDD20 End-to-End Event Camera Driving Dataset
OpenN@S: Open-source software to NAS automatic VHDL code generation
Low-level Python APIs for Accessing Neuromorphic Devices.
RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
Open source SDK to create applications leveraging event-based vision hardware equipment
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