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相关概念视频

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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Action Potential01:31

Action Potential

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Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they...
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相关实验视频

Updated: Jun 18, 2025

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
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Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

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神经动力学是人类大脑中每分钟时间尺度下持续行为的基础.

Hristos S Courellis, Taufik A Valiante, Adam N Mamelak

    bioRxiv : the preprint server for biology
    |July 29, 2024
    PubMed
    概括

    研究了人类大脑中任务上下文的神经表示. 中间前额皮质和海马体显示出独特的时间编码策略,用于维护和切换任务集,这对于长期目标至关重要.

    科学领域:

    • 神经科学是一个神经科学.
    • 认知神经科学 认知神经科学
    • 系统神经科学 系统神经科学

    背景情况:

    • 有效的目标追求需要随着时间的推移保持任务上下文,并在目标之间灵活切换.
    • 微小维护和灵活切换任务集的基础的神经机制在很大程度上是未知的.
    • 了解这些机制对于解释认知灵活性和目标导向行为至关重要.

    研究的目的:

    • 研究人类中枢前皮层和海马体中神经元群是如何代表任务背景的.
    • 在显式任务提示和隐式推理过程中描述这些神经表示的时间动态.
    • 阐明这些大脑区域用于微小规模任务上下文维护的独特编码模式.

    主要方法:

    • 神经外科患者的电生理学记录.
    • 分析中部额叶皮质和海马体中神经元群活动.
    • 在明确任务提示和潜在变量推理条件下检查神经表征.

    主要成果:

    • 在被明确指令时,中间额叶皮层和海马体都编码了任务上下文,任务边界发生了快速变化.
    • 海马体的表现显示出快速的时间外关系,限制了跨时间的概括.
    • 中间额叶皮层的表示表现呈现缓慢的脱相关性,使得可以在几分钟内进行概括.

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    Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

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

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

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    Perspectives on Neuroscience
    00:26

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  • 当任务上下文被推断出来时,海马会使用静态编码模式.

    • 结论:

    • 中间前额皮质和海马体使用不同的神经编码策略来代表任务上下文在微小的时间尺度上.
    • 中间前额皮层使用缓慢脱相关的静态代码,适合长期维护和概括.
    • 根据任务需求 (明确与推断的上下文),海马体在快速脱相关和静态代码之间动态切换.
    • 这些发现揭示了灵活的神经机制,用于管理任务-上下文表示,这对于认知控制至关重要.