Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Long-patch Base Excision Repair01:02

Long-patch Base Excision Repair

Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
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.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[A case report of small cell lung cancer with acute pancreatitisand and intestinal pseudo-obstruction as initial manifestations].

Zhonghua nei ke za zhi·2026
Same author

[Study on the effect of high-intensity interval exercise on ulcerative colitis in mice].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2026
Same author

[Variant frequency of <i>GJB2</i> c.109G>A (p.Val37Ile) in Chinese patients with hearing loss: a systematic review and Meta-analysis].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2026
Same author

[Primary prevention study of preimplantation genetic testing for <i>GJB2</i> gene mutation families].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2026
Same author

[Development of a deep learning model for predicting adverse cardiovascular events in patients with acute coronary syndrome based on retinal fundus images].

Zhonghua xin xue guan bing za zhi·2026
Same author

[Analysis of five-year outcomes and risk factors for insufficient weight loss after laparoscopic sleeve gastrectomy in obese patients].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery·2026
Same journal

Universal perceptron and DNA-like learning algorithm for binary neural networks: LSBF and PBF implementations.

IEEE transactions on neural networks·2013
Same journal

Guest editorial: special section on white box nonlinear prediction models.

IEEE transactions on neural networks·2011
Same journal

Data-based fault-tolerant control of high-speed trains with traction/braking notch nonlinearities and actuator failures.

IEEE transactions on neural networks·2011
Same journal

Guest editorial: special section on data-based control, modeling, and optimization.

IEEE transactions on neural networks·2011
Same journal

Neural network-based multiple robot simultaneous localization and mapping.

IEEE transactions on neural networks·2011
Same journal

Data-driven model-free adaptive control for a class of MIMO nonlinear discrete-time systems.

IEEE transactions on neural networks·2011
See all related articles

Related Experiment Video

Updated: Jul 7, 2026

Detection of Copy Number Alterations Using Single Cell Sequencing
09:45

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

A modified bidirectional decoding strategy based on the BAM structure.

W J Wang1, D L Lee

  • 1Dept. of Electr. Eng., Nat. Central Univ., Chung Li.

IEEE Transactions on Neural Networks
|January 1, 1993
PubMed
Summary
This summary is machine-generated.

A modified bidirectional decoding strategy (MBDS) enhances pattern recognition by adding association fascicles to bidirectional associative memories (BAM). This approach requires fewer connections and remains effective with numerous trained pairs.

More Related Videos

Bidirectional Retroviral Integration Site PCR Methodology and Quantitative Data Analysis Workflow
12:53

Bidirectional Retroviral Integration Site PCR Methodology and Quantitative Data Analysis Workflow

Published on: June 14, 2017

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
11:11

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing

Published on: August 24, 2017

Related Experiment Videos

Last Updated: Jul 7, 2026

Detection of Copy Number Alterations Using Single Cell Sequencing
09:45

Detection of Copy Number Alterations Using Single Cell Sequencing

Published on: February 17, 2017

Bidirectional Retroviral Integration Site PCR Methodology and Quantitative Data Analysis Workflow
12:53

Bidirectional Retroviral Integration Site PCR Methodology and Quantitative Data Analysis Workflow

Published on: June 14, 2017

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
11:11

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing

Published on: August 24, 2017

Area of Science:

  • Artificial Intelligence
  • Machine Learning
  • Neural Networks

Background:

  • Bidirectional Associative Memories (BAM) are foundational for associative learning.
  • Existing BAM strategies may face limitations with large datasets or complex recall requirements.
  • The need for more efficient and scalable memory recall mechanisms is evident.

Purpose of the Study:

  • To introduce a Modified Bidirectional Decoding Strategy (MBDS) that improves upon the standard BAM.
  • To enhance the recalling capabilities of associative memory structures.
  • To present a more efficient alternative to existing methods like dummy augmentation for pattern recognition.

Main Methods:

  • The study modifies the Bidirectional Associative Memories (BAM) structure by incorporating additional association fascicles.
  • A relating parameter is introduced to control and optimize the recalling performance.
  • The Modified Bidirectional Decoding Strategy (MBDS) is developed based on these modifications.

Main Results:

  • The MBDS demonstrates superior recalling capabilities compared to the standard BAM.
  • Pattern recognition examples show that MBDS requires significantly fewer weighting connections than the dummy augmentation method.
  • MBDS remains applicable and effective even when dealing with a large number of trained pairs, unlike the dummy augmentation method.

Conclusions:

  • The proposed MBDS offers a more efficient and scalable solution for pattern recognition tasks.
  • The MBDS effectively overcomes limitations associated with large training datasets in associative memory systems.
  • This modified strategy represents a significant advancement in the field of associative learning and pattern recognition.