Jove
Visualize
Contact Us

Related Concept Videos

ATP Driven Pumps I: An Overview01:27

ATP Driven Pumps I: An Overview

9.9K
ATP-driven pumps, also known as transport ATPases, are integral membrane proteins. They have binding sites for ATP located on the membrane's cytosolic side and the ion-conducting domain in the transmembrane region. These pumps use the free energy released from ATP hydrolysis to move the solutes across cell membranes against an electrochemical gradient.
There are four main types of ATP-driven pumps - P-type, V-type, F-type, and ABC transporter. All these pumps are of varying complexities and...
9.9K
Xylem and Transpiration-driven Transport of Resources02:03

Xylem and Transpiration-driven Transport of Resources

26.8K
The xylem of vascular plants distributes water and dissolved minerals that are taken up by the roots to the rest of the plant. The cells that transport xylem sap are dead upon maturity, and the movement of xylem sap is a passive process.
26.8K
ATP Driven Pumps II: P-type Pumps01:34

ATP Driven Pumps II: P-type Pumps

6.4K
The P-type pumps are a large family of integral membrane transporter ATPases. They are divided into five major types based on substrate specificity, from I to V.
A typical P-type pump has three cytosolic domains: nucleotide-binding (N), phosphorylation (P), and activator (A) domains. These domains are connected to the membrane-spanning helices by short amino acid segments. ATP hydrolysis and covalent phosphoenzyme intermediate formation are crucial parts of the catalytic cycle. At the highly...
6.4K
ATP Driven Pumps III: V-type Pumps01:30

ATP Driven Pumps III: V-type Pumps

4.9K
V-type pumps are ATP-driven pumps found in the vacuolar membranes of plants, yeast, endosomal and lysosomal membranes of animal cells, plasma membranes of a few specialized eukaryotic cells, and some prokaryotes. They are also known as the V1Vo-ATPase, that couple ATP hydrolysis to transport protons against a concentration gradient.
The peripheral or cytosolic V1 domain with eight subunits is involved in ATP hydrolysis. The integral or transmembrane V0 domain containing at least five subunits...
4.9K
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.8K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.8K
Visual System01:26

Visual System

1.8K
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...
1.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A flexible framework for hyperparameter optimization using homotopy and surrogate models.

Scientific reports·2026
Same author

Ethically sourced image data set encourages fairness in AI research.

Nature·2025
Same author

Fast Local Spatial Verification for Feature-Agnostic Large-Scale Image Retrieval.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2021
Same author

Measuring Human Perception to Improve Handwritten Document Transcription.

IEEE transactions on pattern analysis and machine intelligence·2021
Same author

An assistive computer vision tool to automatically detect changes in fish behavior in response to ambient odor.

Scientific reports·2021
Same author

Bridging the Gap Between Computational Photography and Visual Recognition.

IEEE transactions on pattern analysis and machine intelligence·2020
Same journal

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

TraGraph-GS: Trajectory Graph-based Gaussian Splatting for Arbitrary Large-Scale Scene Rendering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Feb 8, 2026

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
07:09

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

6.5K

PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition.

Brandon RichardWebster, Samuel E Anthony, Walter J Scheirer

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |July 12, 2018
    PubMed
    Summary
    This summary is machine-generated.

    Computer vision models are evaluated using a novel framework inspired by visual psychophysics. This approach reveals limitations in current recognition algorithms, challenging claims of human-like performance.

    More Related Videos

    Using Looming Visual Stimuli to Evaluate Mouse Vision
    05:07

    Using Looming Visual Stimuli to Evaluate Mouse Vision

    Published on: June 13, 2019

    12.3K
    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
    05:38

    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

    Published on: June 29, 2021

    2.9K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
    07:09

    Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

    Published on: May 2, 2019

    6.5K
    Using Looming Visual Stimuli to Evaluate Mouse Vision
    05:07

    Using Looming Visual Stimuli to Evaluate Mouse Vision

    Published on: June 13, 2019

    12.3K
    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
    05:38

    Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

    Published on: June 29, 2021

    2.9K

    Area of Science:

    • Computer Vision
    • Computational Neuroscience
    • Machine Learning

    Background:

    • Computer vision datasets and benchmarks have driven progress in visual recognition.
    • Current evaluation methods may overestimate algorithm performance.
    • Visual psychophysics offers an alternative evaluation paradigm from the vision sciences.

    Purpose of the Study:

    • Introduce a comprehensive evaluation framework for visual recognition models based on psychophysical principles.
    • Re-evaluate the performance of convolutional neural networks using this new framework.
    • Identify algorithmic deficiencies and challenge claims of human-like performance.

    Main Methods:

    • Developed a novel evaluation framework integrating principles of visual psychophysics.
    • Utilized millions of procedurally rendered 3D scenes and 2D images as stimuli.
    • Compared the performance of well-known convolutional neural networks against perceptual thresholds.

    Main Results:

    • The psychophysics-based evaluation framework provides a more rigorous assessment of visual recognition models.
    • Results question recent claims of human-like performance in computer vision.
    • Identified specific algorithmic deficiencies previously masked by standard benchmarks.

    Conclusions:

    • The proposed framework offers a path toward more accurate and reliable evaluation of visual recognition systems.
    • Highlights the need for more nuanced evaluation methodologies beyond summary statistics.
    • Suggests that current algorithms may not be as capable as previously thought.