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相关概念视频

Mutations01:39

Mutations

Overview
Gene Conversion02:08

Gene Conversion

Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific primer.
Since the...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Point and Frameshift Mutations01:30

Point and Frameshift Mutations

Point mutations are genetic alterations involving the change of a single nucleotide base pair in DNA. Depending on how the alteration affects protein synthesis, they can lead to various consequences.Point mutations fall into the following types:Silent mutations occur when a nucleotide change does not alter the amino acid sequence due to the redundancy of the genetic code. For instance, changing ACC to ACA still encodes threonine, leaving the protein function unaffected. This occurs because...

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相关实验视频

Updated: Jun 23, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

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标记点过程变化自编码器与应用到未排序的尖端活动.

Ryohei Shibue1, Tomoharu Iwata2

  • 1Communication Science Laboratories, NTT Corporation, Kanagawa, Japan.

PLoS computational biology
|January 8, 2025
PubMed
概括

这项研究引入了一种新的变异自编码模型,用于分析未排序的神经数据. 新模型有效地捕捉了神经活动和行为之间的复杂关系,提高了预测和解码精度.

科学领域:

  • 计算神经科学是一种神经科学.
  • 机器学习 机器学习
  • 数据科学数据科学数据科学

背景情况:

  • 在大神经群体中的尖端列车建模对于理解神经编码至关重要.
  • 标记点过程用于神经群体建模,生成具有波形特征的事件作为标记.
  • 现有模型在联合标记强度估计中与高维和非线性观测作斗争.

研究的目的:

  • 为未分类的尖尖列车开发一个新的联合标记强度模型.
  • 解决现有模型在捕获高维和非线性数据方面的局限性.
  • 为了更好地理解共变量如何影响未排序的尖峰.

主要方法:

  • 提出了一个新的联合标记强度模型,使用一个变量自编码器.
  • 定义了联合标记强度作为一个带有神经网络解码器的潜在变量模型.
  • 通过使用变量边界推导出一个新的参数估计的日志概率下限.
  • 将模型集成到非线性状态空间模型中,以捕获隐藏状态动态.

主要成果:

  • 该模型有效地以数据驱动的方式表示对共变量未排序峰值的依赖结构.
  • 在预测和神经解码任务中取得了卓越的性能.
  • 在合成数据和真实位置细胞增高活动上证明有效.

更多相关视频

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array
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Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array

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相关实验视频

Last Updated: Jun 23, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array
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Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array

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结论:

  • 拟议的基于自编码器的变量模型推进了大神经群体的尖端列车分析.
  • 该方法为神经解码和理解神经编码提供了一个强大的工具.
  • 这种方法增强了模拟复杂神经数据的能力,而无需事先进行尖峰分类.