Computational Neuroscience + AI

Simulating the
Autistic Brain

We build models that capture how brain connectivity differs in autism, bridging the gap between neuroscience and artificial neural networks.

Local Connectivity↑ Hyper
Long-range↓ Hypo

Brain Difference Explorer

Our MVP mapping research findings into an interactive graph. Select a region to see AI-extracted insights.

Brain Regions

  • Amygdala
  • Prefrontal Cortex
  • Temporal Lobe
  • Cerebellum

Amygdala

"Autistic individuals often show altered connectivity between the amygdala and prefrontal cortex, heavily affecting social-emotional processing, gaze aversion, and threat evaluation."

Open Data Infrastructure

Powering our computational models with the world's leading open neuroscience datasets.

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ABIDE Dataset

The Autism Brain Imaging Data Exchange. Contains fMRI scans and connectivity matrices comparing autistic vs neurotypical subjects.

πŸ“Š

OpenNeuro

A free and open platform for analyzing and sharing neuroimaging data, including MRI, EEG, and fMRI.

πŸ“š

PubMed Integration

Automated ingestion pipeline extracting scientific findings, genes (SHANK3, NRXN1), and behavioral links.

Graphing Connectivity Differences

Computing the delta matrix: Ξ”Connectivity = ASD_matrix - Typical_matrix.

Typical Brain Model
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Strong long-range connectivity
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Autistic Brain Model
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Increased local, reduced long-range
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Ξ” Difference Map
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Training target for our AI
Long-term Vision

Graph Neural Networks Mimicking Autism

Instead of a standard ANN (Input β†’ Dense β†’ Output), we encode biological reality into the architecture.

Input
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Local Dense LayerStronger/Hyper connected
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Global LayerWeaker/Hypo connected
β†’
Output

By aggregating neuroscience research into a knowledge graph, we build accurate connectivity models that train AI to simulate autistic cognition natively.