fly_lamina_filter — FLYVISION `lamina` op

• データ種: matrix → matrix

• 呼び出し: import fullseye as fs; fs.ledger.fly_lamina_filter(movie, dt_s, tau_adapt_s=0.2, tau_lp_s=0.02, mode='divisive', floor=0.001) (実装を直接呼ぶなら import flyvision; flyvision.fly_lamina_filter(movie, dt_s, tau_adapt_s=0.2, tau_lp_s=0.02, mode='divisive', floor=0.001)、台帳から引くなら opsflyvision.get("fly_lamina_filter"))

使い方

光受容器の順応とラミナの帯域通過 —— 明るさを捨てて対比だけを下流へ渡す(Weber)。

> 以下の詳細説明は原文のままです —— 要約と見出しは訳出済み。

The first thing the optic lobe does to a picture is throw away its brightness.

A photoreceptor adapts to the running mean light level and the large monopolar

cells (L1/L2) report the *deviation* from it, so the same scene at dawn and at

noon arrives at the motion detectors as the same signal. Two closed-form

stages, in that order:

1. adaptation — a first-order low-pass of time constant *tau_adapt_s*

per ommatidium is the adaptation state `a(t). mode="divisive"`

returns the Weber contrast `(x - a)/(a + eps) (`eps = floor *

mean(x)``, so it scales with the picture and a dark ommatidium cannot

divide by zero); `mode="subtractive" returns x - a`, which is the

same high-pass without the gain control.

2. membrane — a first-order low-pass of time constant *tau_lp_s*, the

cell's own bandwidth.

movie: `(T, n) intensities, rows = time. mode="divisive"` refuses a

negative entry (a negative light level is not a measurement) and an all-zero

movie (its contrast is 0/0, which would be fabricated rather than measured).

dt_s: sample interval, seconds. tau_adapt_s / tau_lp_s: the two time

constants, seconds. floor: the divisive guard, relative to the mean intensity.

Returns `(T, n)` float64 contrast.

Ground truth, both exact rather than approximate:

• Weber invariance. In `"divisive"` mode, scaling the whole movie by

any positive constant returns *the same array* — both `a and eps`

scale with it. That is the point of the stage and the tests pin it to

machine precision.

• The transfer is the product of the two first-order filters. With

`A = 1 - exp(-dt/tau_adapt) and B = 1 - exp(-dt/tau_lp)`, the

steady-state gain at angular frequency `w` is

`|1 - H_A(w)| * |H_B(w)| where H(w) = C/(1 - (1-C) exp(-i w dt))` —

a band-pass that blocks DC exactly and is measured at four frequencies in

the tests.

Raises `ValueError`: a non-2-D / too-short / non-finite *movie*, a movie

over :data:MAX_MOVIE_ELEMENTS, a non-positive *dt_s* / *tau_adapt_s* /

*tau_lp_s*, a non-positive *floor*, an unknown *mode*, and (divisive only) a

negative or all-zero movie.

詳しい使い方ガイド

• fly_vision ファミリガイド

参考(サンプルデータ・文献)

• サンプルデータカタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。

• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。

• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• poc_fly_optomotor_steering — py -3.11 examples/poc_fly_optomotor_steering.py

型が繋がる次の op(`matrix` を入力に取れる)

fly_onoff_split · fly_t4t5_field · fly_flow_from_directions · fly_egomotion_from_flow · fly_hs_readout

同カテゴリ(`lamina`)

fly_onoff_split

*Provenance: flyvision.py — FLYVISION operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*

fly_lamina_filter — FLYVISION lamina op

使い方