両眼単眼の色のグループ化と差の強調の両方に対する分割正規化の説明による曖昧さの知覚的解決
Jaelyn R Peiso1,2, Stephanie E Palmer3,4, Steven K Shevell5,6
1Department of Psychology, Institute for Mind & Biology, University of Chicago, Chicago, IL, USA.
Journal of vision
|January 13, 2026
まとめ
ニューラル集団は視覚的曖昧さを解決するために競合する。分割正規化の枠組みは、脳がどのように柔軟に類似性を高めたり、刺激間の差を高めたりできるかを説明し、二項対立における反対の知覚的結果を統一する。
科学分野:
- 神経科学; 計算視覚; 知覚
背景:
- 視覚系は通常、世界についての単一の機能的な表現を作成します。; 曖昧な視覚刺激は、競合する神経解釈につながる可能性があり、知覚は可能性の間でシフトします。; 文脈は、これらの曖昧さがどのように解決されるかに影響を与え、時には類似性または差を強調します。
研究 の 目的:
- 二項対立中の知覚的選択の根底にあるメカニズムを調査すること。; 統一された枠組みが反対の知覚的結果(類似性対差の強調)を説明できるかどうかを判断すること。; 視覚的曖昧さの解決における分割正規化の役割をテストすること。
主な方法:
- 調整された分割正規化モデルを開発およびシミュレートしました。; 二項対立に関する経験的データを分析しました。; モデルの予測と実験結果を比較しました。
主要な成果:
- 分割正規化の枠組みは、知覚的選択が類似性ベースのグループ化または差が強調された知覚のいずれかの結果をもたらすことができるかをうまく説明しました。; モデルは、二項対立中の知覚的結果の柔軟性を説明しました。; 結果は、色の知覚の非線形性と輝度ベースのモデルを調和させます。
結論:
- 分割正規化は、二項対立における知覚的選択を理解するための統一された計算フレームワークを提供します。; この枠組みは、同じ曖昧な視覚入力から反対の知覚的結果がどのように生じるかを説明します。; このモデルは、視覚的曖昧さの解決の神経基盤に関する洞察を提供します。
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