graph_from_synapses — CONNGRAPH construct op

• Data kinds: synapse_table → conn_graph

• Call: import fullseye as fs; fs.ledger.graph_from_synapses(syn: 'Any', n: 'int | None' = None, sign: 'float' = 1.0) -> 'np.ndarray' (to call the implementation directly, import conngraph; conngraph.graph_from_synapses(syn: 'Any', n: 'int | None' = None, sign: 'float' = 1.0) -> 'np.ndarray'; from the registry, opsconngraph.get("graph_from_synapses"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

シナプス表 (m, 3) = (pre_id, post_id, count) を n×n の重みつき有向隣接行列にする。

`W[pre, post] += count * sign`。同じ (pre, post) の行は足し合わせる。

`n を省くと max(id) + 1`。id は 0 始まりの整数値(float で持っていてよい)

で、範囲外・非整数・負の id は拒否する。`sign` は抑制性シナプスを負で

入れたいときの係数(count 自体は符号を持たない量として扱う)。

Detailed usage guide

• conngraph family guide

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• poc_fly_optomotor_steering — py -3.11 examples/poc_fly_optomotor_steering.py

• poc_microns_brain_wave — py -3.11 examples/poc_microns_brain_wave.py

Ops the type connects to (they accept conn_graph as input)

graph_degree_preserving_shuffle · graph_binarize · graph_degree_table · graph_clustering_coefficient · graph_betweenness · graph_laplacian_spectrum · graph_spectral_radius · graph_components

Same category (construct)

graph_degree_preserving_shuffle · graph_binarize

*Provenance: conngraph.py — CONNGRAPH operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.