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相关概念视频

Language and Cognition01:27

Language and Cognition

704
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
704
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

3.4K
Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
3.4K
Language Development01:22

Language Development

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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
831
Components of Language01:24

Components of Language

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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
746
Language01:16

Language

876
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
876
Observational Learning01:12

Observational Learning

817
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...
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学习物理交互来构建生物的大型语言模型.

Joseph D Clark1, Tanner J Dean2, Diwakar Shukla3,4,5,6

  • 1School of Molecular and Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.

Communications chemistry
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概括
此摘要是机器生成的。

药物设计中的大型语言模型可以通过合并分子表示来改进. 结合模型可以提高分子相互作用的预测,促进药物发现和开发.

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科学领域:

  • 计算生物学是一种计算生物学.
  • 药物发现 药物发现
  • 医学中的人工智能

背景情况:

  • 深度学习模型,特别是大型语言模型 (LLM),是现代药物设计的组成部分,通过生物化学序列的特征向量来帮助虚拟选.
  • 目前的LLM缺乏完全捕捉影响结合亲和力和特异性的关键分子相互作用的能力.

研究的目的:

  • 通过探索合并多样化分子表示的方法来解决现有模型的局限性.
  • 建议开发能够联合编码多种生物数据类型的生物化学基础模型,以提高相互作用预测.

主要方法:

  • 现有方法的概述,用于组合来自不同生物模式的分子表示.
  • 生物化学语言模型的"构成"策略的开发和应用,合并内部层表示.
  • 对解释和民主化生物应用LLM的最新进展进行分析.

主要成果:

  • 拟议的"构成"生物化学语言模型的方法显示性能与分子相互作用预测的标准方法相当或超过.
  • 组合型号以显著减少的功能集实现了这种性能.
  • 该研究强调了合并内部表示的潜力,以提高相互作用预测中的概括性.

结论:

  • 来自不同的生物模式的融合表示对于开发更有效的分子相互作用预测模型至关重要.
  • 未来的生物化学基础模型应该被设计为共同编码多种分子数据,以全面理解.
  • 这种方法为更准确和更普遍的药物发现工具提供了一条道路,有潜力预测分子相互作用的进化变化.