BRAINCOG

BrainCog is aimed at providing infrastructural support for specialized, generalized Brain-inspired AI. Currently, it provides cognitive function components that can be classified into five categories: Perception and Learning, Decision Making, Motor Control, Knowledge Representation and Reasoning, and Social Cognition. These components collectively form neural circuits corresponding to 28 brain areas in the mammalian brains. These brain-inspired AI models have been effectively validated on various supervised and unsupervised learning, deep reinforcement learning, and several complex brain-inspired cognitive tasks... BrainCog provides a variety of supervised and unsupervised methods for training spiking neural networks, such as the biologically-plausible Spike Timing-Dependent Plasticity (STDP), the backpropagation based on surrogate gradients, and the conversion-based algorithms. In addition to high performance in common perception and learning process, it also shows strong..

Primary location: Omaha United States