Declarative
Topology, dynamics, attention and learning live in a readable .cognia model.
Describe a stateful neural architecture as a program, run it on the GPU, observe its internal state and integrate it through an API.
Sensory separates the description of a neural system from its GPU runtime.
Topology, dynamics, attention and learning live in a readable .cognia model.
A Mind preserves attention, memory and internal state between inputs.
Inspect topology, activations, workspace competition and runtime results.
Write the intent of the network in a small declarative model. Sensory validates it, builds the topology and keeps the resulting Mind alive.
network Perception {
use vision: VisualCortex
use memory: WorkingMemory
connect vision -> memory
publish memory.state as signal
}
Start with a working model, inspect the research or evaluate a measurable pilot.
Run your first stateful Cognia model and integrate a live Mind through the API.
Explore hypotheses, methodology, limitations and reproducible experiments.
Define a focused pilot with measurable success criteria and deployment constraints.
We will frame a focused experiment with an explicit baseline, measurable outcome and honest limitations.