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.
Runs networkx graphs representing spiking neural networks of LIF-neurons on lava-nc or networkx.
Low-level Python APIs for Accessing Neuromorphic Devices.
A labeled dataset from a subset of the MVSEC dataset for car detection at night driving conditions.
An open-source cross-platform package to analyze and post-process spiking information obtained from neuromorphic cochleas
RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
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