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…

螺旋熵减系统

螺旋熵减理论

The official PyTorch code for AAAI'23 Paper "Sparse Coding in a Dual Memory System for Lifelong Learning"

The official repository for ICLR'23 Paper "Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning"

The official repository for TMLR paper "A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning""

Official repository for NeurIPS'23 paper "TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion"

Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning

Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal

Official PyTorch implementation for Biologically inspired heterogeneous learning for accurate, efficient and low-latency neural network.