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Fixed Action Patterns01:06

Fixed Action Patterns

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A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
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What is Behavior?00:54

What is Behavior?

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Behaviors are actions that an organism engages in—they can be related to finding food, reproducing, defending against threats, and many other possible actions. Behaviors include activities related to the environment around the animal—such as migration—as well as social interactions within a species or population. Many behaviors involve motor output—that is, muscle movements—while others involve less visible actions, such as learning.
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Avoidance Learning and Learned Helplessness01:14

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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
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Before understanding the types and patterns of fever, it is essential to know its phases.
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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
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Purposive Learning01:22

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E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
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Updated: Feb 13, 2026

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
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筋活動パターンから行動状態を解読する深層学習

Honoka Kuroyanagi1, Yuji Ikegaya2, Nobuyoshi Matsumoto3

  • 1Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, 113-0033, Japan.

Journal of pharmacological sciences
|February 11, 2026
PubMed
まとめ
この要約は機械生成です。

深層学習は、マウスの筋電図(EMG)を分析して、歩行やグルーミングなどの行動を自動的に分類します。この客観的な方法は、動物の行動評価を強化し、手動のビデオ観察に代わるスケーラブルな方法を提供します。

キーワード:
行動筋電図マウス

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科学分野:

  • 神経科学; 動物行動; 機械学習

背景:

  • 動物行動分析のための手動ビデオ観察は、時間がかかり、主観的です。
  • 正確な行動状態分類は、動物の生理機能と応答を理解するために重要です。

研究 の 目的:

  • 筋電図(EMG)データを使用した自動動物行動分類のための深層学習モデルを開発および検証すること。
  • 行動分析のための客観的、自動化、およびスケーラブルなフレームワークを提供すること。

主な方法:

  • マウス(四肢および首)の5つの筋肉部位から筋電図を記録しました。
  • 行動(歩行、グルーミング、立ち直り)のグラウンドトゥルースラベルを確立するためにビデオモニタリングを使用しました。
  • 分類のためにEMGセグメントでカスタム畳み込みニューラルネットワークをトレーニングしました。

主要な成果:

  • 深層学習モデルは、さまざまな行動状態に対して堅牢な分類精度を達成しました。
  • モデルは、EMG信号から異なる動物の行動パターンを効果的に検出しました。
  • ビデオ観察と比較して、筋電図ベースの分類は高い忠実度を示しました。

結論:

  • 多部位筋電図の深層学習分析は、動物行動分類のための客観的かつ自動化された方法を提供します。
  • このEMGベースのアプローチは、既存のビデオモニタリングシステムと統合できるスケーラブルなフレームワークを提供します。
  • 開発されたモデルは、研究における行動状態評価の効率と精度を向上させます。