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関連する概念動画

Long-term Potentiation01:35

Long-term Potentiation

51.6K
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
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The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.2K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
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Long-term Potentiation01:25

Long-term Potentiation

2.7K
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when...
2.7K
Propagation of Action Potentials01:23

Propagation of Action Potentials

15.4K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
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Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

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The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
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Role of Cerebellum and Prefrontal Cortex in Memory01:14

Role of Cerebellum and Prefrontal Cortex in Memory

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The cerebellum, while traditionally associated with motor control, also plays a crucial role in memory, particularly in procedural memory, which involves learning motor tasks that become automatic through repetition. For example, studies have shown that when the cerebellum is damaged, individuals or animals lose the ability to learn conditioned motor responses, such as the conditioned eye-blink response in classical conditioning experiments with rabbits. This study demonstrates the...
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Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
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Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

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前頭前皮質における再発的なダイナミクスによる文脈依存計算.

Valerio Mante1, David Sussillo, Krishna V Shenoy

  • 11] Howard Hughes Medical Institute and Department of Neurobiology, Stanford University, Stanford, California 94305, USA [2] Institute of Neuroinformatics, University of Zurich/ETH Zurich, CH-8057 Zurich, Switzerland. [3].

Nature
|November 9, 2013
PubMed
まとめ
この要約は機械生成です。

研究者は,柔軟な行動を理解するために,猿の前頭前皮質の活動を研究しました. 彼らは,複雑な神経活動が,感覚情報の選択と統合のための統一されたダイナミックなプロセスを反映していることを発見しました.

さらに関連する動画

Multi-layer Cortical Ca2+ Imaging in Freely Moving Mice with Prism Probes and Miniaturized Fluorescence Microscopy
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Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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関連する実験動画

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Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

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Multi-layer Cortical Ca2+ Imaging in Freely Moving Mice with Prism Probes and Miniaturized Fluorescence Microscopy
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Multi-layer Cortical Ca2+ Imaging in Freely Moving Mice with Prism Probes and Miniaturized Fluorescence Microscopy

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Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

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科学分野:

  • 神経科学は神経科学である.
  • コグニティブ・サイエンス コグニティブ・サイエンス
  • 計算神経科学とは

背景:

  • 前頭前皮質 (PFC) は,柔軟で文脈に依存する行動に不可欠です.
  • PFCニューロンによって行われる正確な計算は,特にそれらの複雑な応答パターンは,まだ十分に理解されていません.

研究 の 目的:

  • PFCにおける感覚情報の柔軟な選択と統合の基礎となる神経メカニズムを調査する.
  • 単一のニューロンの複雑な活動がどのように行動に寄与するかを理解する.

主な方法:

  • マカク類のマカク類の前頭前皮質の活動が記録され,騒々しい感覚インプットの柔軟な選択と統合を必要とするタスクを実行しています.
  • 集団レベルの神経動態を分析した.
  • 訓練された再発性ニューラルネットワーク (RNN) を利用して,PFCの活動をモデル化しました.

主要な成果:

  • 単一のニューロンの複雑さは,集団レベルの動的プロセスによって説明されます.
  • 観察された集団動態は,訓練されたRNNによって成功裏に再現されました.
  • 感覚の選択と統合のための新しいメカニズムを特定しました.

結論:

  • タスクに関連するインプットの選択と統合は,PFC回路内の単一のダイナミックプロセスの統一された側面です.
  • このダイナミックなフレームワークは,脳内の文脈依存コンピューティングに関する新しい視点を提供します.
  • この発見は,RNNが複雑なPFC機能をモデル化できることを示唆しています.