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Related Experiment Video

Updated: Jul 18, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and

Yi Zeng^1,2,3,4,5, Dongcheng Zhao¹, Feifei Zhao¹

¹Brain-inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.

Patterns (New York, N.Y.)

|August 21, 2023

Summary

BrainCog is a new platform for brain-inspired artificial intelligence (AI) and brain simulation. It integrates biological components to enable advanced AI models and cognitive function research.

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Area of Science:

Neuroscience
Artificial Intelligence
Computational Neuroscience

Background:

Spiking neural networks (SNNs) offer a framework for brain-inspired AI and simulation.
Current SNN infrastructures support either simulation or AI, not both.
A unified platform is needed to bridge biological intelligence and AI development.

Purpose of the Study:

Introduce BrainCog, a novel SNN-based platform.
Provide infrastructure for both brain simulation and brain-inspired AI.
Facilitate research into biological intelligence and AI creation.

Main Methods:

BrainCog integrates diverse biological neuron models, encoding strategies, and learning rules.
The platform incorporates various brain areas and supports hardware-software co-design.
It offers user-friendly components for building complex cognitive functions.

Main Results:

BrainCog supports simulations across multiple scales, from single neurons to brain structures.
It enables the implementation of cognitive functions like perception, decision-making, and social cognition.
The BORN AI engine demonstrates BrainCog's capability in building advanced AI models.

Conclusions:

BrainCog provides a unified SNN infrastructure for brain simulation and AI.
It facilitates the study of biological intelligence and the development of advanced AI.
The platform supports a wide range of cognitive functions and multi-scale simulations.