Research

Our lab focuses on brain atlas mapping and brain-inspired AI - integrating neuroscience with artificial intelligence to understand brain mechanisms and develop next-generation AI systems.


Combining multimodal brain imaging and connectomics to map the human brain from birth to aging, through development and disease.

๐ŸŽฏ Research Goals

  • Fine Functional Parcellation: Mapping precise functional boundaries using multimodal neuroimaging
  • Spatiotemporal Evolution: Quantifying brain changes across developmental, aging, and disease cohorts
  • Individualized Brain Models: Constructing personalized networks for clinical intervention targets

๐Ÿ”ฌ Key Technologies

  • Multimodal brain imaging (sMRI, fMRI, dMRI, MEG)
  • Connectomics and network analysis
  • Longitudinal cohort studies
  • Individual-level brain parcellation

๐Ÿฅ Clinical Applications

Developmental Disorders

Diagnosis & intervention

Neurodegenerative Diseases

Early detection

Precision Medicine

Personalized treatment

๐Ÿ“Š Representative Work

  • Li et al. (2025). Topographic organization of human brain networks. Nature Neuroscience.
  • Zhang et al. (2023). Association between brain connectivity and cognitive functions. Science Bulletin.

Building an integrated brain atlas big data platform to train foundation models for neuroscience research.

๐ŸŽฏ Platform Features

One-Stop Integration

Unified platform for multimodal brain atlas data

Cross-Modal Data

Structural, functional, molecular, genetic

Multi-Scale Analysis

Molecular to systems-level organization

๐Ÿค– Foundation Models for Neuroscience

  • Large-Scale Training: AI models on brain atlas big data
  • Cognitive Simulation: Brain function prediction and modeling
  • Disease Modeling: Progression prediction and treatment responses
  • Drug Discovery: Treatment optimization through AI

๐Ÿ”ฌ Research Applications

  • Brain cognitive function simulation
  • Disease progression prediction
  • Drug discovery and optimization
  • Population-level brain mapping

๐Ÿ“Š Representative Work

  • Ma et al. (2024). BAINet: Brain-inspired AI network architecture. NeuroImage.
  • Zhang et al. (2025). Connectome-based modeling of human cognition. Cerebral Cortex.

Using real brain atlas, connectivity, and network data to constrain and inspire deep learning architectures, creating a closed-loop "structure-function-behavior" framework.

๐Ÿง  Brain-Constrained AI

  • Anatomical Constraints: Real brain connectivity designing neural network architectures
  • Functional Guidance: Brain functional organization improving AI models
  • Biologically Plausible Learning: Algorithms inspired by brain mechanisms

๐Ÿ”ฌ Research Focus Areas

Language Processing
  • Language network mapping
  • Brain-inspired language models
  • Semantic processing neural basis
Memory Systems
  • Memory encoding/retrieval
  • Hippocampal-neocortical interactions
  • AI systems with brain-like memory
Decision-Making
  • Dopamine modulation
  • Value-based choice modeling
  • Behavioral economics applications

๐ŸŒŸ Toward Explainable AGI

Explainability

AI models grounded in neurobiology

Evolvability

Adapt and learn like biological brains

Robustness

Resilient to perturbations

๐Ÿ“Š Representative Work

  • Yang et al. (2025). Identifying cognitive states using graph neural networks. eLife.
  • Zhang et al. (2025). Connectome-based modeling of human cognition. Cerebral Cortex.

๐ŸŒŸ Research Philosophy

From Brain to AI

Use neuroscience discoveries to build better AI systems

From AI to Brain

Apply AI tools to understand brain function

Clinical Translation

Bridge basic research to clinical applications


๐Ÿ† Research Impact

40+

Publications in High-Impact Journals

3,800+

Citations

46

National Patents (China)

8

International Patents


๐Ÿค Collaborations

Global Partnerships
  • Julich Research Center (Germany)
  • McGill University (Canada)
  • Universitรฉ de Montrรฉal (Canada)
  • Chinese Academy of Sciences (China)

๐Ÿ’ก Join Our Research

We're Hiring!

Looking for talented researchers passionate about brain atlas and brain-inspired AI

View Open Positions โ†’

Last updated: October 26, 2025