Brain-Cog
Cognitive simulator
A brain-inspired cognitive intelligence engine for simulating brains and artificial intelligence
Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.
467 stars
18 watching
74 forks
Language: Python
last commit: about 1 month ago
Linked from 1 awesome list
brain-inspired-aibrain-inspired-computationbrain-simulationscomputational-neurosciencespiking-neural-networks
Related projects:
Repository | Description | Stars |
---|---|---|
brainpy/brainpy | A flexible and extensible framework for brain dynamics programming using Python and JIT compilation. | 541 |
brainglobe/brainreg | Automated 3D brain registration software for aligning template brains to sample images. | 124 |
nengo/nengo | A Python library for building and simulating large-scale neural models | 834 |
whackashoe/codi | A cellular automaton model for simulating spiking neural networks | 6 |
neurotechx/bci-workshop | A collection of materials and resources for teaching Brain-Computer Interface (BCI) using EEG signals. | 89 |
brian-team/brian2 | A simulator for spiking neural networks written in Python | 950 |
corbett/quantumcomputing | A Python simulator for a 5-qubit quantum computer with limited gates. | 593 |
project-dc/pygeneses | A PyTorch-based framework for training and studying artificial species in bio-inspired environments | 72 |
progamergov/dream-creator | A tool to create custom DeepDream models by training and visualizing images with pre-trained neural networks | 64 |
cco3/goqu | A Go library for simulating quantum computing phenomena. | 1 |
benedekrozemberczki/simgnn | An implementation of SimGNN, a neural network approach to computing graph similarity | 768 |
progamergov/neural-dream | An implementation of DeepDream algorithm using PyTorch for image processing and computer vision. | 133 |
htm-community/clortex | Building intelligent computer systems based on the principles of the human brain | 182 |
octopicorn/bcikit | Analyzes EEG signals from devices like OpenBCI hardware and applies various signal processing techniques for machine learning-based brain-computer interfaces. | 14 |
jimpil/enclog | A Clojure wrapper around the Encog machine learning framework, providing an interface to build and train neural networks | 137 |