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Network YAML Config Guide

Reference for building spiking neuron networks from YAML configuration files. Used by build_network.py.

Structure

dataset: mnist
output_dir: networks
name: my_network

layers:
  - type: conv
    kernel_size: 4
    stride: 2
    connectivity: 0.8
  - type: conv
    kernel_size: 4
    stride: 2
    connectivity: 0.8
  - type: dense
    size: 144
    connectivity: 0.25

Top-Level Fields

Field Required Description
dataset yes Input dataset: mnist, cifar10, cifar10_color, cifar100, usps, svhn, fashionmnist
layers yes List of layer definitions (conv and/or dense)
output_dir yes* Output directory for the JSON file (*or provide via --output-dir CLI)
name no Output filename without extension (default: config filename stem)
inhibitory_signals no Enable inhibitory signals (default: false)
rgb_separate_neurons no Separate RGB channels in neurons (default: false)
input_size no Override input size (default: 100)

Layer Types

Convolutional (type: conv)

Field Required Default Description
kernel_size no 3 Convolution kernel size (also accepts kernel)
stride no 1 Stride
connectivity no 0.8 Fraction of possible synapses to create (0–1)

Important: The filters parameter must not be used. Do not specify filters in convolutional layer definitions.

Dense (type: dense)

Field Required Default Description
size no 128 Number of neurons in the layer
connectivity no 0.5 Fraction of possible synapses (0–1). Use ~0.25 for stable attractors
synapses_per no — Override synapses per neuron (advanced)

Layer Ordering

  • Conv layers must precede dense layers. Conv-after-dense is not supported.
  • The first layer determines input handling: if first is conv, an input layer is created from the image; if first is dense, the image is flattened.

CLI Overrides

python build_network.py --config path/to/config.yaml [--output-dir DIR] [--name NAME]
  • --output-dir overrides YAML output_dir
  • --name overrides YAML name
  • At least one of output_dir (YAML or CLI) must be set

Output

{output_dir}/{name}.json — network configuration suitable for activity recording and evaluation.