SYNOMORPHSTART FROM A TEMPLATE
Use a defined topology as the basis for a new experimental system.
Experimental
SYNTHETIC NERVOUS SYSTEMS
Create architectures, modify connectivity, train task-specific systems, and compare artificial networks with biological ones.
experimentalsyntheticSyntheticUser-createdExperimental
OVERVIEW
Synthetic systems connect custom topology, task-specific policies, input and output mapping, evaluation, and versioned procedural memory.
The current interface is a product scaffold. Graph editing, training, persistence, and deployment require future backend integration.
FROM STRUCTURE TO ACTION
CLONE A SYSTEM
Fork a compatible structure while preserving source and version metadata.
UPLOAD A STRUCTURE
Prepare compatible nervous-system data for validation and later integration.
BUILD FROM SCRATCH
Define nodes, connections, inputs, outputs, skills, policies, and an embodiment.
SYSTEM FLOW
- Sensory Input
- Nervous System
- Neural State
- Decoder / Control
- Robot / Virtual Body / Software
SOURCE METADATA
External scientific data is attributed independently. A candidate source is not treated as integrated until its dataset, version, publication, and license are verified.