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Language and Cognition01:27

Language and Cognition

438
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.
438
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

1.0K
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...
1.0K
Language Development01:22

Language Development

444
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...
444
Visual System01:26

Visual System

684
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...
684
Vision01:24

Vision

55.3K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Neural Regulation01:37

Neural Regulation

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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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Video Experimental Relacionado

Updated: Sep 9, 2025

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
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Regulación de gradiente inducida por la estructura para modelos de lenguaje de visión generalizables

Juncheng Li, Minghe Gao, Siliang Tang

    IEEE transactions on pattern analysis and machine intelligence
    |September 1, 2025
    PubMed
    Resumen
    Este resumen es generado por máquina.

    El aprendizaje meta-prompt regulado por gradientes (GRAM) mejora la sintonización rápida para los modelos de lenguaje de visión, mejorando la adaptación de pocos disparos y la generalización entre dominios con el meta-aprendizaje y la regulación de gradientes.

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    Área de la Ciencia:

    • Inteligencia artificial
    • Visión por computadora
    • Procesamiento del lenguaje natural

    Sus antecedentes:

    • El ajuste rápido adapta los modelos de lenguaje visual previamente entrenados de manera eficiente utilizando indicaciones suaves.
    • El aprendizaje de pocos disparos con ajuste rápido enfrenta desafíos en la sensibilidad de inicialización y el exceso de ajuste.
    • Los métodos existentes tienen dificultades para adaptarse rápidamente y mantener la generalización en escenarios con pocos datos.

    Objetivo del estudio:

    • Introducir un nuevo marco de aprendizaje metapromptado regulado por gradientes (GRAM).
    • Mejorar la efectividad de la sintonización rápida en escenarios de aprendizaje de pocos disparos y cero disparos.
    • Mejorar la generalización entre dominios y reducir el exceso de ajuste en los modelos de lenguaje de visión.

    Principales métodos:

    • Desarrolló un paradigma de metaaprendizaje utilizando datos de texto con etiqueta débil.
    • Empleado el agrupamiento jerárquico intermodal para la organización de datos.
    • Se introdujo una función de regulación de gradiente para mejorar la generalización.
    • Propuso una función de regulación de gradiente inducida por la estructura para el ajuste del tiempo de prueba.

    Principales resultados:

    • GRAM logra el estado de la técnica de generalización de pocos disparos y cero disparos.
    • El marco mejora constantemente varios métodos de ajuste rápido.
    • Se ha demostrado una adaptación efectiva con datos limitados o sin etiquetar.
    • Mostró un metaaprendizaje robusto en diversos dominios.

    Conclusiones:

    • GRAM ofrece una solución robusta y adaptable para los desafíos de ajuste rápido.
    • Los métodos propuestos mejoran significativamente las capacidades de aprendizaje de pocos disparos y cero disparos.
    • GRAM proporciona un enfoque independiente del modelo para mejorar el rendimiento del ajuste rápido.
    • El marco facilita la transferencia eficiente de conocimientos sin anotaciones explícitas.