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相关概念视频

Sleep-Wake Cycles01:24

Sleep-Wake Cycles

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Sleep is an essential physiological process vital to maintaining overall well-being. The reticular activating system (RAS), a network of neurons in the brainstem, regulates wakefulness and sleep. While it may seem passive, sleep consists of distinct cycles, each with its unique characteristics and functions. Two key sleep phases are non-rapid eye movement (NREM) and  rapid eye movement (REM).
NREM Sleep
NREM sleep comprises four progressive stages that seamlessly merge:
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Long-term Potentiation01:35

Long-term Potentiation

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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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Working Memory01:24

Working Memory

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Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
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Neural Circuits01:25

Neural Circuits

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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.
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Stages of Sleep01:22

Stages of Sleep

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Sleep progresses through distinct stages, each characterized by specific brain wave patterns and physiological responses ranging from wakefulness to stages of non-rapid eye movement, known as non-REM, to rapid eye movement, referred to as REM. Understanding these stages helps in recognizing how sleep supports various bodily and cognitive functions.
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相关实验视频

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Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
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训练有素的循环神经网络在工作记忆任务中开发相锁的极限周期.

Matthijs Pals1,2, Jakob H Macke1,2,3, Omri Barak4,5

  • 1Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen, Tübingen, Germany.

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概括

神经网络使用稳定的大脑振荡作为工作记忆的内部时钟. 这种相位编码机制依赖于合振荡器来维护信息,为神经动力学提供了洞察力.

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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A Method for Remotely Silencing Neural Activity in Rodents During Discrete Phases of Learning
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相关实验视频

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Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

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科学领域:

  • 神经科学是一个神经科学.
  • 计算神经科学是一种神经科学.
  • 人工智能的人工智能

背景情况:

  • 神经振荡在大脑中普遍存在,并可能作为内部时钟起作用.
  • 信息编码通过神经活动定时相对于振荡阶段是一个拟议的机制.
  • 经验证据支持神经系统中存在相位码的存在.

研究的目的:

  • 研究支持神经振荡信息相位编码的神经动态.
  • 了解循环神经网络 (RNN) 如何使用参考振荡实现工作记忆.

主要方法:

  • 在工作记忆任务中训练有素的RNN,需要对刺激进行相位编码.
  • 分析训练网络的内部动态和连接性.
  • 反向工程网络机制,以确定底层原则.

主要成果:

  • 训练有素的网络表现出稳定的振荡动态.
  • 每个相位编码内存都与一个不同的极限循环吸引器相关联.
  • 网络连接被简化为两个相联振荡器.
  • 开发了一个带有振荡生成和合模块的缩小模型.

结论:

  • 神经网络可以通过相位编码,为工作记忆采用参考振荡.
  • 拟议的机制涉及生成自主振荡并将其与外部引用相合.
  • 吸引器的稳定性取决于振荡幅度和频率,提供实验测试性.