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相关概念视频

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Cognitivism01:17

Cognitivism

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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
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Cognitive Learning01:21

Cognitive Learning

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
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Visual System01:26

Visual System

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
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Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Lazarus's Cognitive Appraisal Theory01:20

Lazarus's Cognitive Appraisal Theory

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Cognitive psychologist Richard Lazarus proposed the cognitive-mediational theory of emotions, which emphasizes how individuals' assessments of stressors significantly affect their experience of stress. According to Lazarus, the stress response is determined by a two-step appraisal process: primary appraisal and secondary appraisal. These cognitive appraisals help individuals evaluate the potential impact of a stressor and determine the adequacy of their coping resources.
Primary Appraisal:...
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相关实验视频

Updated: Mar 14, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

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SHC:深度激活类似人类的认知能力,以视觉回答问题.

Fengjuan Wang, Zhenxue Wang, Gaoyun An

    IEEE transactions on pattern analysis and machine intelligence
    |March 12, 2026
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    概括
    此摘要是机器生成的。

    一种新的系统人类认知 (SHC) 方法通过模拟人类认知来增强视觉问题答案. SHC提高了多模式理解和细粒度视觉感知.

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    Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
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    Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

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    相关实验视频

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    Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
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    科学领域:

    • 人工智能的人工智能
    • 认知科学 认知科学
    • 计算机视觉 计算机视觉

    背景情况:

    • 人类的认知依赖于复杂的信息处理,但当前的AI模型往往孤立地研究过程.
    • 大型语言模型 (LLM) 已经提高了语言理解,但视觉信息处理仍然是一个挑战.

    研究的目的:

    • 为视觉问题答案 (VQA) 提出一个系统的人类认知 (SHC) 方法.
    • 通过系统地建模人类认知过程来增强多模式理解.

    主要方法:

    • SHC通过三个模块模拟人类认知:层次感知 (HPM),语义精细化 (SRM) 和动态推理 (DRM).
    • HPM提取层次特征,SRM使用级联注意力改进语义,DRM融合特征以实现统一表示.
    • 合并表示用于LLM中的文本输入,用于推理.

    主要成果:

    • 在VQA基准 (VQA-v2,文本-VQA,GQA,科学QA) 上,SHC取得了竞争性表现.
    • 它显示了多式联运基准 (POPE,MMB,MME,MM-Vet) 的强结果.
    • SHC表现出优越的细粒度视觉感知,并在某些任务上表现优于较大的模型.

    结论:

    • SHC方法有效地模拟了人类的认知机制,以改善VQA.
    • SHC提供了一种有前途的方法,用于推进人工智能的多模式理解和视觉感知.