Dinosaur Brain Structure Research
Unravel the neural complexity of prehistoric life using AI-powered 3D reconstruction and analysis.
Unravel the neural complexity of prehistoric life using AI-powered 3D reconstruction and analysis.
Our neural network uses fossilized cranial impressions and modern comparative anatomy to generate brain structure 3D models. These AI simulations help us understand cognitive abilities, sensory perception, and evolutionary adaptations in ancient species.
The model analyzes cranial endocasts using 450+ data points to detect structural features like olfactory bulb development, cerebellum size, and brain-to-body ratio. It cross-references results with modern reptilian/avian neural studies to identify evolutionary patterns.
High-res CT scans and fossil 3D prints are fed into our AI training pipeline.
Our ML models infer soft-tissue structures from bony imprints using pattern recognition.
Analyzes encephalization quotient (EQ) to predict problem-solving, social complexity, and motor skills.
Contribute to our brain cavity archive by uploading CT scans or sharing fossil discoveries.
📦 Submit Data
Help validate model predictions by reviewing neural structure reconstructions.
🎯 Check Models
Academic papers on brain evolution available for download in BibTeX and full PDF.
📄 Get Research
Our models have been validated against 320+ modern and fossilized samples for precision.
Generate AI brain reconstructions from CT scans faster than traditional methods.