Projects in Awesome Lists tagged with neuromorphic-hardware

https://github.com/mikeroyal/neuromorphic-computing-guide

Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.

artificial-neural-networks brain-imaging neocortex neural-engine neural-engineering neural-machine-translation neural-network neural-networks neural-processes neural-radiance-fields neural-rendering neural-simulators neuroimaging neuromorphic neuromorphic-computing neuromorphic-engineering neuromorphic-hardware neuron-models neuronal-network neuroscience

Last synced: 05 Apr 2025

https://github.com/BICLab/Spike-Driven-Transformer-V2

Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

neuromorphic-computing neuromorphic-hardware spiking-neural-networks

Last synced: 21 Apr 2025

https://github.com/markplagge/nemo

NeMo - A hardware agnostic neuromorphic processor simulation model built on ROSS

event-driven-simulation neuromorphic-hardware ross simulation-model spiking-neural-networks

Last synced: 28 Feb 2025

https://github.com/spinnakermanchester/spinncer

Bio-inspired neuromorphic cerebellum

cerebellum cerebellum-model nest-simulator neuromorphic neuromorphic-computing neuromorphic-hardware pynn spiking-neural-network spinnaker spinnaker-hardware spinnaker-nmc

Last synced: 14 Apr 2025

https://github.com/cepdnaclk/e16-4yp-neuromorphic-architecture

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, as the first stage, we are implementing parallel multiple processing elements based on RISC-V architecture to represent biological neurons. Single neurons can be implemented as a single processor with local memory access or since the spike time of biological neurons is in the millisecond order multiple neurons can be virtualized to a single processor. At the second stage of the process, we are expecting to design encoders and decoders to benchmark the architecture by solving classical machine learning problems.

fpga neuromorphic-computing neuromorphic-engineering neuromorphic-hardware risc-v

Last synced: 28 Feb 2025