brain-cog.network - BrainCog: Brain-inspired Cognitive Intelligence Engine for Brain-inspired Artificial Intelligence and Brain Simulation

Description: Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for simulating the cognitive brains of different animal species at multiple scales and realizing brain-inspired Artificial Intelligence.

ai (7920) spiking neural network (4) chinese academy of sciences (4) braincog (2) brain-inspired cognitive intelligence lab (2) institute of automation (2)

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Brain-inspired Cognitive Intelligence Engine (BrainCog) integrates multi-scale biological plausible plasticity principles, supports Spiking Neural Network based brain-inspired Artificial Intelligence modeling, and brain function and structure simulation. BrainCog provides complete and systematic interface components for researchers in brain-inspired AI and computational neuroscience.

BrainCog allows researchers to freely design their own network and the corresponding functions by calling and connecting the essential modules. For Brain-inspired AI, BrainCog collaborates with multiple brain regions to form different neural circuits and preliminarily implements five categories of cognitive functions: Perception and Learning, Decision Making, Motor Control, Knowledge Representation and Reasoning, and Social Cognition. BrainCog also realizes partial brain cognitive function simulation, as we

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

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