Pure python implementation of SNN
python neural-network mnist-classification spiking-neural-networks spike-time-dependent-plasticity neuromorphic synapse spike-trains neuromorphic-hardware
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- Python
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neuromorphic-hardware
Here are 26 public repositories matching this topic...
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
neural-network neuroscience neural-networks artificial-neural-networks neuroimaging neural-machine-translation neuromorphic brain-imaging neuronal-network neuromorphic-hardware neocortex neuromorphic-computing neuromorphic-engineering neural-simulators neural-processes neuron-models neural-rendering neural-engine neural-radiance-fields neural-engineering
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Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)
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RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
python restricted-boltzmann-machine spiking-neural-networks spike-time-dependent-plasticity synapse spike-trains neuromorphic-hardware mnist-handwriting-recognition contrastive-divergence-algorithm neuromorphic-engineering
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Simulation of Advanced Neuromorphic Architectures for Fast Exploration
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OpenN@S: Open-source software to NAS automatic VHDL code generation
vhdl spiking-neural-networks cochlea neuromorphic-hardware aedat neuromorphic-auditory-sensors neuromorphic-engineering opennas vhdl-generation
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Brilliantly Radical Artificially Intelligent Neural Machine
neural-network hardware neuroscience hardware-architectures neurons hardware-designs neuron neuromorphic brain neuromorphic-hardware neuromorphic-computing neuromorphic-engineering
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NeMo - A hardware agnostic neuromorphic processor simulation model built on ROSS
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A bespoke time‑first language + toolchain for hybrid Neuromorphic - classical systems
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An Address Event Representation toolbox for loading and visualising event data files in Python
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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, …
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Bio-inspired neuromorphic cerebellum
spinnaker neuromorphic pynn neuromorphic-hardware nest-simulator neuromorphic-computing cerebellum spinnaker-hardware spiking-neural-network spinnaker-nmc cerebellum-model
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Neuromorphic Auditory Visualizer Tool
spiking-neural-networks neuroinformatics neuromorphic nas cochlea neuromorphic-hardware aedat jaer navis neuromorphic-auditory-sensors neuromorphic-engineering
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This repository aims to provide a curated collection of resources for researchers and practitioners interested in neuromorphic navigation, including datasets, hardware platforms, and software tools.
survey neuromorphic neuromorphic-hardware neuromorphic-computing neuromorphic-auditory-sensors neuromorphic-engineering neuromorphic-vision neuromorphic-chip neuromorphic-navigation
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openFrameworks addon for interfacing to the Dynamic Vision Sensors. This addon is a basic logger and player for the DAVIS/DVS sensors family
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A fast generative model for stochastic memory cells
machine-learning simulation gpu julia modeling circuit-simulation neuromorphic-hardware verilog-a reram emerging-technology
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E-prop on spinnaker 2: exploring online learning in spiking rnns on neuromorphic hardware
training real-time deep-learning tensorflow spinnaker spiking-neural-networks online-learning neuromorphic-hardware cortex-m4f snn e-prop
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This is a collection of papers I read on SNN accelerators.
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Emerging Threats and Countermeasures in Neuromorphic Systems: A Survey. By designing and analyzing Memristor Devices for Neuromorphic Computing, Spiking Neural Networks (SNNs), Physically Unclonable Functions (PUFs), True Random Number Generators (TRNGs), we are investigating their hardware and software security (attacks and defenses).
security privacy survey spiking-neural-networks fault-injection research-paper software-security energy-efficiency neuromorphic-hardware literature-review hardware-security side-channel-attacks neuromorphic-computing adversarial-attacks neuromorphic-engineering backdoor-attacks membership-inference-attack in-memory-computing
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