Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.
Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.
A curated list of awesome neuromorphic frameworks, libraries, resources, and other things
PyTorch and Loihi implementation of the Spiking Neural Network for decoding EEG on Neuromorphic Hardware
Open neuromorphic processor architectures. Loihi-class feature set, FPGA-validated.
A demo for robotic control loop with Intel's Loihi neuromorphic chip used in our papers
Python and ROS implementation of an SNN on Intel's Loihi neuromorphic processor mimicking the oculomotor system controlling a biomimetic robotic head
The TensorFlow for neuromorphic computing. Train spiking neural networks and deploy to Intel Loihi 2 at 1000x less energy than GPU.
Континуальная модель сознания ИИ (уровни 1–N). Гомеостатическое ядро с врождённой валентностью. Этические протоколы и дорожная карта аппаратной реализации на нейроморфных чипах и диффузионных мемристорах
Neuromorphic benchmark suite: SHD, SSC, N-MNIST, DVS Gesture, GSC KWS — reproducible training scripts for Catalyst processors
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