Back to browse
GitHub Repository

Explore how information may move through the resting brain using flow fields and rDCIM graphs

19 starsPython

Interactive flow fields for resting-state brain activity

by pixedar·Apr 16, 2026·1 point·0 comments

AI Analysis

●●SolidNiche GemBig BrainRabbit Hole

rDCIM flow fields with LLM interpretation — novel brain connectivity visualization for researchers.

Strengths
  • Combines MDN-learned flow fields with anatomical streamlines for continuous information propagation
  • LLM + RAG interprets probe trajectories through brain regions with functional context
  • Dual-window ROI flow mode maps manifold positions to activation vectors via kNN
Weaknesses
  • Zero stars, no releases — appears embryonic with unclear production readiness
  • Extremely narrow audience; most developers have no use case for this
Category
Target Audience

Neuroscience researchers, computational neuroscientists

Similar Projects

AI/ML●●Solid

A semantic flow tool for embeddings

Flow fields over embedding trajectories—TensorFlow Projector but with dynamics.

Big BrainRabbit HoleWizardry
pixedar
102mo ago