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Related Concept Videos

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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Field-effect transistors (FETs) are integral to electronic circuits and distinguished by their three-terminal setup: the gate, drain, and source. These transistors operate as unipolar devices, which utilize either electrons or holes as charge carriers, in contrast to bipolar transistors, which use both types of carriers. The primary function of the FET is to modulate the flow of these carriers from the source to the drain through a channel. The voltage difference between the gate and source...
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Veins, while chiefly responsible for circulating blood back to the heart, also function as storage vessels for blood. They house approximately 64 percent of the body's total blood volume, a feat made possible by their high capacitance—the inherent ability to expand and accommodate large volumes of blood, even under low pressure. The large diameter and thin walls of veins augment their distensibility, significantly more so than arteries, due to their classification as capacitance...
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Color Vision01:24

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Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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Bipolar Junction Transistor01:22

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Bipolar Junction Transistors (BJTs) are essential elements in electronic circuits, playing a crucial role in the functionality of amplifiers, memories, and microprocessors. These transistors can be designed as NPN or PNP based on their doping patterns. They consist of three layers: the emitter, base, and collector. The configuration of these layers and their respective doping levels—with N-type or P-type impurities—define the transistor's type and its operational...
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Depth Perception and Spatial Vision01:15

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Related Experiment Video

Updated: Feb 7, 2026

Fabrication of a Solution-gated Indium-Tin-Oxide-based One-piece Transistor Enabling Sensitive Biosensing
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Nanolaminate Ferroelectric Transistor Enabling Wide-Reservoir In Sensor Neuromorphic Vision.

Gwangmin An1, Seungjun Lee1,2, Hyeonho Lee1

  • 1Division of Electronics and Electrical Engineering, Dongguk University, Seoul, Republic of Korea.

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|February 6, 2026
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Summary
This summary is machine-generated.

This study introduces a novel hardware system using ferroelectric transistors for hybrid reservoir computing. This energy-efficient device unifies memory functions, achieving high accuracy in complex pattern recognition tasks.

Keywords:
electrical and optical functionalityferroelectric thin‐film transistorsmulti‐wavelengthnanolaminatesynaptic deviceswide reservoir computing

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Area of Science:

  • Neuromorphic Engineering
  • Materials Science
  • Device Physics

Background:

  • Reservoir computing (RC) leverages complex dynamics for computation.
  • Ferroelectric thin-film transistors (FeTFTs) offer potential for integrated memory and processing.
  • Existing systems often lack unified volatile/nonvolatile functionalities and energy efficiency.

Purpose of the Study:

  • To develop a hardware-oriented hybrid reservoir computing (HRC) system using a single FeTFT device.
  • To enable dual-mode (electrical/optical) operation with both long-term and short-term memory.
  • To demonstrate high-performance, energy-efficient neuromorphic computing.

Main Methods:

  • Fabrication of a nanolaminate ferroelectric gate stack (HZO/HfO2/HZO) for FeTFTs.
  • Utilized incremental step pulse with verify algorithm (ISPVA) for precise multilevel control and linear weight updates.
  • Implemented light-driven 4-bit reservoirs and wavelength-dependent reservoirs for enhanced feature space.

Main Results:

  • Achieved dual-mode operation with electrical input for long-term memory and optical excitation for short-term memory.
  • Demonstrated low-power operation at picoampere currents (~10 pW/device).
  • Attained 93.1% accuracy on MNIST and 85.1% on Fashion-MNIST, surpassing previous FeTFT/memristor RC systems.

Conclusions:

  • The developed FeTFT-based HRC system offers a scalable and energy-efficient platform for multifunctional in-sensor neuromorphic computing.
  • The unified volatile and nonvolatile functions in a single device simplify hardware design.
  • This approach paves the way for advanced, low-power AI hardware.