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関連する概念動画

Neural Circuits01:25

Neural Circuits

3.0K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
3.0K
Neural Regulation01:37

Neural Regulation

34.8K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
34.8K
Behavior Modification01:21

Behavior Modification

1.0K
Behavioral approaches have often been criticized for ignoring mental processes and focusing solely on observable behavior. However, these approaches provide an optimistic perspective for individuals seeking to change their behaviors. Rather than concentrating on intrinsic personality traits, behavioral approaches suggest that even longstanding habits can be modified by changing the reward contingencies that maintain them.
A real-world application of operant conditioning principles is applied...
1.0K
State Space to Transfer Function01:21

State Space to Transfer Function

691
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
691
Gain01:15

Gain

672
Gain and phase shift are properties of linear circuits that describe the effect a circuit has on a sinusoidal input voltage or current. The circuit's behavior that contains reactive elements will depend on the frequency of the input sinusoid. As a result, it is observed that the gain and phase shift will all be frequency functions.
Gain:
Suppose Vin is the input and Vout is the output signal to a circuit.
672
Graded Potential01:19

Graded Potential

11.9K
Graded potentials are localized fluctuations in the cell membrane's electrical charge, commonly found in the dendrites of neurons. The magnitude of these potential changes depends on the strength of the initiating stimulus. In a membrane at its resting potential, a graded potential signifies a voltage shift either above -70 mV or below -70 mV.
Graded potentials fall into two categories: depolarizing and hyperpolarizing. Depolarizing graded potentials typically occur when sodium (Na+) or...
11.9K

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関連する実験動画

Updated: May 2, 2026

Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo
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行動状態による増強制御のための皮質回路.

Yu Fu1, Jason M Tucciarone2, J Sebastian Espinosa1

  • 1Center for Integrative Neuroscience, Department of Physiology, University of California, 675 Nelson Rising Road, San Francisco, CA 94158, USA.

Cell
|March 18, 2014
PubMed
まとめ

移動は,主視野皮質 (V1) の特定のニューロンを活性化することによって,脳の視覚処理を強化します. この研究は,この重要な感覚行動リンクを媒介する,血管活性腸ペプチド (VIP) のニューロンを含む神経回路を特定しています.

さらに関連する動画

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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Combined Shuttle-Box Training with Electrophysiological Cortex Recording and Stimulation as a Tool to Study Perception and Learning
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Combined Shuttle-Box Training with Electrophysiological Cortex Recording and Stimulation as a Tool to Study Perception and Learning

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関連する実験動画

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Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo
10:19

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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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科学分野:

  • 神経科学は神経科学である.
  • センサリー処理 センサリー処理
  • 行動モジュール化 (Behavioral Modulation) とは,行動モジュール化 (Behavioral Modulation) とは,行動モジュール化 (Behavioral Modulation) とは,行動モジュール化 (Behavioral Modulation) とは,行動モジュール化 (Behavioral Modulation) とは,行動モジュール化 (Behavioral Modulation) とは,行動モジュール化 (Behavioral Modulation) とは,行動モジュール化 (Behavioral Modulation) とは,行動モジュール化 (Behavioral Modulation) とは,行動モジュール化 (Behavioral Modulation) とは,行動モジュール化 (Behavioral Modulation) とは,行動モジュール化 (Behavioral Modulation) とは,行動モジュール化 (Behavioral Modulation) とは

背景:

  • 行動状態は,脳の感覚処理に大きく影響する.
  • 運動は,マウスの主視野皮質 (V1) の視覚反応を高めることが知られており,状態依存変調の重要な例です.

研究 の 目的:

  • 行動状態情報を感覚皮質に伝達する特定の神経回路を特定する.
  • 移動が視覚的反応を高めるメカニズムをV1.1で解明する.

主な方法:

  • 行動するマウスのインビボカルシウムイメージング.
  • ニューロン活動の光遺伝的操作.
  • 特定のニューロンの集団に光分解による損傷.
  • ニューロンの応答を評価するための電気生理学的記録.

主要な成果:

  • 移動は,視覚入力とは無関係にマウスV1の血管活性腸ペプチド (VIP) 陽性ニューロンを活性化します.
  • 基礎前頭脳からのニコチンインプットは,運動誘発のVIPニューロン活性化に不可欠です.
  • VIPニューロンの光遺伝的活性化は,V1の視覚応答に対する移動の効果を模倣した.
  • VIPニューロンの障害は,V1応答の運動誘発強化を廃止しました.

結論:

  • VIPニューロンを含む特定の皮質回路は,移動中の視覚応答の強化を媒介する.
  • このVIPニューロン回路は,感覚処理の状態依存的調節のための潜在的な共通の経路を提供します.