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相关概念视频

Integration of Synaptic Events01:28

Integration of Synaptic Events

1.6K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
1.6K
Synaptic Signaling01:09

Synaptic Signaling

5.6K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
5.6K
Propagation of Action Potentials01:23

Propagation of Action Potentials

5.9K
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...
5.9K
Associative Learning01:27

Associative Learning

441
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...
441
Action Potential01:31

Action Potential

8.0K
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...
8.0K
Observational Learning01:12

Observational Learning

209
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
209

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相关实验视频

Updated: Jul 18, 2025

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

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基于有效采样的贝叶斯主动学习用于突触特性.

Camille Gontier1,2, Simone Carlo Surace1, Igor Delvendahl3,4

  • 1Department of Physiology, University of Bern, Bern, Switzerland.

PLoS computational biology
|August 21, 2023
PubMed
概括
此摘要是机器生成的。

我们开发了一种基于有效采样的贝叶斯主动学习 (ESB-BAL) 框架,用于实时的生物实验. 这种方法提高了模型参数推理精度,使生理学中的实验设计更为系统.

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High Resolution Quantitative Synaptic Proteome Profiling of Mouse Brain Regions After Auditory Discrimination Learning
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Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents
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Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents

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相关实验视频

Last Updated: Jul 18, 2025

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

Published on: June 24, 2015

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High Resolution Quantitative Synaptic Proteome Profiling of Mouse Brain Regions After Auditory Discrimination Learning
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High Resolution Quantitative Synaptic Proteome Profiling of Mouse Brain Regions After Auditory Discrimination Learning

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Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents
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Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents

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科学领域:

  • 计算神经科学是一种神经科学.
  • 系统生物学 系统生物学
  • 实验生理学实验生理学

背景情况:

  • 贝叶斯主动学习 (BAL) 通过选择信息刺激来优化模型参数学习.
  • 传统的BAL方法是计算密集型的,限制了它们的实时实验应用.
  • 现有的方法往往是特定于模型的,或者对于动态生物系统来说太慢了.

研究的目的:

  • 开发一个有效的贝叶斯主动学习框架,适合实时生物实验.
  • 为了解决标准BAL在高维参数推理中的计算局限性.
  • 在生理学研究中提高基于模型的推断的精度.

主要方法:

  • 引入了一种有效的采样式贝叶斯主动学习 (ESB-BAL) 框架.
  • 应用ESB-BAL来估计化学突触模型的参数.
  • 利用后突触对唤起的前突触动力潜力的后突触反应进行参数估计.

主要成果:

  • 在实时生物实验中,ESB-BAL显示出足够的效率.
  • 与现有方法相比,该框架提高了基于模型的推断的精度.
  • 使用合成数据和全细胞补丁记录突触活动的验证.

结论:

  • 在生理实验中,ESB-BAL为贝叶斯主动学习提供了一种计算效率高的方法.
  • 该方法提高了生物模型参数估计的精度.
  • 这项工作促进了神经科学和生理学的更有系统和更有效的实验设计.