Jove
Visualize
Contact Us
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 Concept Videos

Plotting of Topographic Maps01:29

Plotting of Topographic Maps

469
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
469
Transfer Function to State Space01:23

Transfer Function to State Space

774
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an RLC...
774
State Space to Transfer Function01:21

State Space to Transfer Function

562
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
562
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

870
Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
870
State Space Representation01:27

State Space Representation

536
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
536
Space Trusses01:25

Space Trusses

1.3K
A space truss is a three-dimensional counterpart of a planar truss. These structures consist of members connected at their ends, often utilizing ball-and-socket joints to create a stable and versatile framework. The space truss is widely used in various construction projects due to its adaptability and capacity to withstand complex loads.
At the core of a space truss lies the fundamental unit known as the tetrahedron. This structure is composed of six members that form a three-dimensional shape...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Normalization accounts for temporal dynamics in human somatosensory cortex.

bioRxiv : the preprint server for biology·2026
Same author

An increasingly efficient narrowband object-recognition channel along the ventral stream.

bioRxiv : the preprint server for biology·2026
Same author

EasyEyes: Crowded dynamic fixation for online psychophysics.

Journal of vision·2026
Same author

A case study of sudden-onset cortically mediated visual impairments in a 12-year-old.

Research square·2025
Same author

Unpacking the V1 map: Differential covariation of preferred spatial frequency and cortical magnification across spatial dimensions.

PLoS computational biology·2025
Same author

Spatial attention selectively alters visual cortical representation during target anticipation.

Nature communications·2025
Same journal

Increased rates of hybridization in swordtails are associated with water pollution.

Current biology : CB·2026
Same journal

Visual uncertainty and task demands shape active sensing strategies in mice.

Current biology : CB·2026
Same journal

An adaptable, self-organizing, single-cell morphology circuit optimizes suctorian predatory trap structure.

Current biology : CB·2026
Same journal

Temporal tuning of switch-like virulence expression resolves environmental uncertainty through phenotypic heterogeneity.

Current biology : CB·2026
Same journal

An abstract relational map emerges in the human medial prefrontal cortex with consolidation.

Current biology : CB·2026
Same journal

Phloem evolved gradually and asynchronously to xylem in early vascular plants.

Current biology : CB·2026
See all related articles

Related Experiment Video

Updated: Jan 21, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.7K

Cerebellar Function: Multiple Topographic Maps of Visual Space.

Jonathan Winawer1, Clayton Curtis1

  • 1New York University, 6 Washington Place, New York, NY 10003, USA.

Current Biology : CB
|July 24, 2019
PubMed
Summary
This summary is machine-generated.

New research reveals distinct visual maps within the human cerebellum. Some organizational principles align with the cerebral cortex, while others are unique to the cerebellum.

More Related Videos

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.7K
Author Spotlight: Deciphering the Role of ATM in Ataxia-Telangiectasia and the Associated Cerebellar Degeneration
08:41

Author Spotlight: Deciphering the Role of ATM in Ataxia-Telangiectasia and the Associated Cerebellar Degeneration

Published on: December 27, 2024

2.0K

Related Experiment Videos

Last Updated: Jan 21, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.7K
Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.7K
Author Spotlight: Deciphering the Role of ATM in Ataxia-Telangiectasia and the Associated Cerebellar Degeneration
08:41

Author Spotlight: Deciphering the Role of ATM in Ataxia-Telangiectasia and the Associated Cerebellar Degeneration

Published on: December 27, 2024

2.0K

Area of Science:

  • Neuroscience
  • Visual Neuroscience
  • Cerebellar Function

Background:

  • The human cerebellum's role in visual processing is not fully understood.
  • Previous research primarily focused on the cerebral cortex's visual organization.

Purpose of the Study:

  • To investigate the organizational principles of visual maps in the human cerebellum.
  • To compare cerebellar visual maps with those found in the cerebral cortex.

Main Methods:

  • Utilized data from the Human Connectome Project.
  • Employed advanced neuroimaging techniques to map visual representations.
  • Analyzed topographic organization of visual areas in the cerebellum.

Main Results:

  • Identified multiple distinct maps of visual space within the human cerebellum.
  • Observed that some cerebellar visual map features align with established topographic principles of the cerebral cortex.
  • Discovered unique properties in cerebellar visual maps that deviate from cortical organization.

Conclusions:

  • The human cerebellum possesses complex, multi-map representations of visual space.
  • Cerebellar visual organization shares some commonalities with, yet also diverges from, cortical visual processing principles.
  • These findings contribute to a more comprehensive understanding of cerebellar contributions to visual perception.