The NeuroAI archive

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Monthly

Latest

2026-10-30

By

Patrick Mineault

Based on

12 recent issues

• Covers: Research on neuro-inspired AI, brain imaging technologies, neural data modeling, AI safety, and computational neuroscience tools.
• For: Neuroscientists, AI researchers, and technical professionals working at the intersection of biology and AI.
• Best for: AI researchers and biotech developers exploring neuroscience-driven machine learning models.
• Skip if: General business managers or marketers looking for basic AI productivity tips.

Start with

• Accelerating Neuroscience to Change AI's Trajectory: Explains how distilling neural data can accelerate neuroscience research and improve AI safety.
• Functional ultrasound imaging from scratch: Details how functional ultrasound imaging works to track dynamic brain tissue activity.
• What are foundation models for? Lessons from synbio: Examines machine learning foundation models in synthetic biology and their applications to neuroscience.

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