Integration & Project Management

Block 6 ties all Studio components together: project save/load for persistent workspaces, and a full pipeline that chains network design through compilation to FPGA synthesis in a single action.

Project Save/Load

Save and restore complete Studio state — equations, parameters, network graph, synthesis target, training config — as JSON files on the server.

Save

Click Save in the Projects panel (left sidebar), enter a name. The full state is serialised and stored in ~/.sc-neurocore/studio/projects/.

Load

Click a project name to restore all state: equations, model selection, parameters, network graph populations and projections, synthesis target.

Storage Format

{
  "name": "my_network",
  "saved_at": 1711504200.0,
  "version": "0.3.0",
  "state": {
    "sourceMode": "model",
    "selectedModelName": "LIFNeuron",
    "graphPopulations": [...],
    "graphProjections": [...],
    "synthTarget": "ice40",
    "trainingConfig": {...}
  }
}

Full Pipeline

The pipeline runs from the Network Canvas with a single click:

Network Graph → Validate → Simulate → Compile → Synthesise

Steps

1. Validate — check graph structure (populations exist, projections point to valid nodes, neuron count within 2000 limit)
2. Simulate — run the E-I balanced network simulation
3. Compile — generate SystemVerilog from LIF equations via the equation compiler
4. Synthesise — run Yosys on the generated Verilog for the selected FPGA target (ice40, ECP5, Gowin, Xilinx)

If any step fails, the pipeline stops and reports which step failed and why.

Using the Pipeline

1. Design your network on the Canvas tab
2. Select FPGA target in the Synthesis Dashboard (or use default ice40)
3. Click Pipeline → ICE40 (or whichever target) on the Canvas toolbar
4. View results: simulation stats + synthesis resource usage

API Endpoints

Method	Endpoint	Description
POST	/api/project/save	Save project state
GET	/api/project/list	List all saved projects
GET	/api/project/load/{name}	Load a saved project
DELETE	/api/project/{name}	Delete a saved project
POST	/api/pipeline/run	Run full pipeline

POST /api/project/save

{"name": "my_network", "state": {"sourceMode": "model", ...}}

POST /api/pipeline/run

{
  "graph": {
    "populations": [...],
    "projections": [...],
    "duration": 200.0
  },
  "target": "ice40"
}

Returns:

{
  "success": true,
  "target": "ice40",
  "pipeline": "graph → simulate → compile → synthesise",
  "steps": {
    "validate": {"passed": true},
    "simulate": {"n_spikes": 342, "n_total": 100},
    "compile": {"chars": 1580, "module": "sc_pipeline_neuron"},
    "synthesise": {"success": true, "target": "ice40", "resources": {...}}
  }
}