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.
Error Signals For Adaptive Neuro-Robotics: preliminary experiment
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.
Video to AER data synthesis model for robust data conversion and architecture exploration.
Bio-inspired navigation system for artificial agents using spiking neural networks
Brilliantly Radical Artificially Intelligent Neural Machine
Classification of radio signals on a neuromorphic chip in space
Low-level Python APIs for Accessing Neuromorphic Devices.
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, …
An open-source cross-platform package to analyze and post-process spiking information obtained from neuromorphic cochleas
A labeled dataset from a subset of the MVSEC dataset for car detection at night driving conditions.
OpenN@S: Open-source software to NAS automatic VHDL code generation
Neuromorphic Auditory Visualizer Tool
DDD20 End-to-End Event Camera Driving Dataset
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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