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Vision01:24

Vision

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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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Anatomy of the Eyeball01:20

Anatomy of the Eyeball

7.6K
The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle...
7.6K
Focusing of Light in the Eye01:16

Focusing of Light in the Eye

3.2K
Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
3.2K
Modeling and Similitude01:12

Modeling and Similitude

328
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
328
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

422
Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
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Updated: Sep 10, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
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Modelos generativos ópticos

Shiqi Chen1,2,3, Yuhang Li1,2,3, Yuntian Wang1,2,3

  • 1Electrical and Computer Engineering Department, University of California Los Angeles, Los Angeles, CA, USA.

Nature
|August 27, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Los investigadores desarrollaron modelos generativos ópticos que utilizan la luz para crear nuevas imágenes, inspirados en modelos de difusión digital. Estos modelos ofrecen una alternativa rápida y energéticamente eficiente para el contenido generado por IA, comparable a los métodos digitales.

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Área de la Ciencia:

  • Inteligencia artificial
  • Óptica y fotónica
  • Visión por computadora

Sus antecedentes:

  • Los modelos generativos digitales se están expandiendo a diversas aplicaciones como la síntesis de imágenes y la PNL.
  • La inferencia escalable y energéticamente eficiente presenta un desafío significativo para los grandes modelos generativos digitales.

Objetivo del estudio:

  • Introducir y demostrar modelos generativos ópticos para el contenido generado por IA.
  • Explorar la inferencia energéticamente eficiente y escalable utilizando métodos ópticos.

Principales métodos:

  • Desarrollo de modelos generativos ópticos que utilizan un codificador digital y un decodificador óptico reconfigurable en el espacio libre.
  • Modelos de fase empleados como semillas generativas ópticas procesadas totalmente ópticamente para generar imágenes.
  • Aprovechó la luz visible para la demostración experimental, generando varios tipos de imágenes.

Principales resultados:

  • Generó con éxito imágenes monocromáticas y multicolores de dígitos escritos a mano, artículos de moda, mariposas, rostros humanos y obras de arte.
  • El rendimiento obtenido es comparable al de los modelos generativos basados en redes neuronales digitales.
  • Síntesis de imágenes de eficiencia energética demostrada con un consumo mínimo de potencia de cálculo durante la inferencia.

Conclusiones:

  • Los modelos generativos ópticos ofrecen una vía prometedora para la inferencia de IA eficiente en energía y escalable.
  • Este enfoque aprovecha la óptica y la fotónica para nuevos contenidos generados por inteligencia artificial.
  • Los modelos desarrollados muestran potencial para futuras aplicaciones en IA y generación de contenido.