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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Updated
Jan 4, 2024 - Python
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
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
Low-level Python APIs for Accessing Neuromorphic Devices.
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.
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