Fundamental structural definitions of the NeuroTIC runtime model. More...
#include <stdint.h>
Go to the source code of this file.
Data Structures | |
| struct | neuron_s |
| Structural unit representing a computation node. More... | |
| struct | wiring_s |
| Declarative descriptor of inter-layer input resolution. More... | |
| struct | net_s |
| Root structural container of a NeuroTIC network. More... | |
Typedefs | |
Type Aliases | |
Fundamental scalar types for NeuroTIC structures. These aliases abstract primitive C types to decouple structural semantics from numeric representation and centralize precision control. /
typedef float
data_t,
weight_t,
bias_t;
typedef uint8_t
type_t,
index_t;
typedef uint16_t
layer_t;
typedef uint32_t
input_t;
| |
| typedef struct neuron_s | neuron_s |
| Structural unit representing a computation node. | |
| typedef struct wiring_s | wiring_s |
| Declarative descriptor of inter-layer input resolution. | |
| typedef struct net_s | net_s |
| Root structural container of a NeuroTIC network. | |
Detailed Description
Fundamental structural definitions of the NeuroTIC runtime model.
Defines the minimal structural components required to represent a network: neurons, wiring descriptors, and the root network container.
Defines structure only. No construction or execution semantics are provided.
Definition in file ntcore.h.
Typedef Documentation
◆ net_s
Root structural container of a NeuroTIC network.
Represents the complete structural topology and memory graph required to execute a network instance.
The network owns its internal structures. External input sources are considered external references.
◆ neuron_s
Structural unit representing a computation node.
A neuron binds input references, weight coefficients, a bias term, and an activation selector. It does not define memory ownership beyond structural integrity requirements.
