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

Spin–Spin Coupling: Two-Bond Coupling (Geminal Coupling)01:20

Spin–Spin Coupling: Two-Bond Coupling (Geminal Coupling)

1.7K
Two NMR-active nuclei bonded to a central atom can be involved in geminal or two-bond coupling. Geminal coupling is commonly seen between diastereotopic protons in chiral molecules and unsymmetrical alkenes, among others.
The central atom need not be NMR-active because its electrons are affected by the electron polarization of the spin-active atoms. However, spin information is transmitted less effectively than in one-bond coupling, and 2J values are usually weaker than 1J values. The energy of...
1.7K
Spin–Spin Coupling: Three-Bond Coupling (Vicinal Coupling)01:22

Spin–Spin Coupling: Three-Bond Coupling (Vicinal Coupling)

1.5K
Vicinal or three-bond coupling is commonly observed between protons attached to adjacent carbons. Here, nuclear spin information is primarily transferred via electron spin interactions between adjacent C‑H bond orbitals. This generally favors the antiparallel arrangement of spins, so 3J values are usually positive.
The extent of coupling depends on the C‑C bond length, the two H‑C‑C angles, any electron-withdrawing substituents, and the dihedral angle between the involved orbitals. The...
1.5K
Second-Order Circuits01:17

Second-Order Circuits

3.6K
Integrating two fundamental energy storage elements in electrical circuits results in second-order circuits, encompassing RLC circuits and circuits with dual capacitors or inductors (RC and RL circuits). Second-order circuits are identified by second-order differential equations that link input and output signals.
Input signals typically originate from voltage or current sources, with the output often representing voltage across the capacitor and/or current through the inductor. For example, in...
3.6K
Neurogenesis and Regeneration of Nervous Tissue01:15

Neurogenesis and Regeneration of Nervous Tissue

1.8K
In the CNS, neurogenesis, the birth of new neurons from stem cells, is limited to the hippocampus in adults. In other regions of the brain and spinal cord, neurogenesis is almost non-existent due to inhibitory influences from neuroglia, especially oligodendrocytes, and the absence of growth-stimulating cues. The myelin produced by oligodendrocytes in the CNS inhibits neuronal regeneration. Furthermore, astrocytes proliferate rapidly after neuronal damage, forming scar tissue that physically...
1.8K
G-protein Coupled Receptors01:21

G-protein Coupled Receptors

132.2K
G-protein coupled receptors are ligand binding receptors that indirectly affect changes in the cell. The actual receptor is a single polypeptide that transverses the cell membrane seven times creating intracellular and extracellular loops. The extracellular loops create a ligand specific pocket which binds to neurotransmitters or hormones. The intracellular loops holds onto the G-protein.
132.2K
Spin–Spin Coupling: One-Bond Coupling01:17

Spin–Spin Coupling: One-Bond Coupling

1.5K
Coupling interactions are strongest between NMR-active nuclei bonded to each other, where spin information can be transmitted directly through the pair of bonding electrons. While nuclei polarize their electrons to the opposite spins, the bonding electron pair has opposite spins. Configurations with antiparallel nuclear spins are expected to be lower in energy. When coupling makes antiparallel states more favorable, J is considered to have a positive value. The one-bond coupling constant, 1J,...
1.5K

You might also read

Related Articles

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

Sort by
Same author

The critical role of the endogenous immune compartment after CAR T cell therapy in recurrent GBM.

Cell·2026
Same author

Modeling Gliomas with Organoids: Classification, Fidelity, and Guidelines for Translational Neuro-Oncology.

Neuro-oncology·2026
Same author

Author Correction: Leveraging deep single-soma RNA sequencing to explore the neural basis of human somatosensation.

Nature neuroscience·2026
Same author

Spatial mapping of RNA turnover kinetics and regulatory landscapes of mRNA stability in the mammalian brain.

bioRxiv : the preprint server for biology·2026
Same author

Transsynaptic tracing techniques to interrogate neuronal connectivity of glioblastomas.

Nature protocols·2026
Same author

The need for a global effort to attend to human neural organoid and assembloid research.

Science (New York, N.Y.)·2025
Same journal

A viral ORFeome library for systems-level genetic dissection of host-pathogen interactions.

Cell·2026
Same journal

Co-option of lysosomal machinery shapes the evolution of the intracellular photosymbiosis supporting coral reefs.

Cell·2026
Same journal

LEF1 and niche factors determine T cell stemness across chronic diseases.

Cell·2026
Same journal

Recurrent patterns of TOP1-mediated neuronal genomic damage shared by major neurodegenerative disorders.

Cell·2026
Same journal

Four-dimensional molecular mapping from a spatial snapshot reveals the dynamics of hair follicle organogenesis.

Cell·2026
Same journal

Whole-cell particle-based digital twin simulations from 4D lattice light-sheet microscopy data.

Cell·2026
See all related articles

Related Experiment Video

Updated: Feb 12, 2026

Cortical Neurogenesis: Transitioning from Advances in the Laboratory to Cell-Based Therapies
12:38

Cortical Neurogenesis: Transitioning from Advances in the Laboratory to Cell-Based Therapies

Published on: July 19, 2007

6.6K

Coupling Neurogenesis to Circuit Formation.

Ki-Jun Yoon1, Guo-Li Ming2, Hongjun Song3

  • 1Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School for Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

Cell
|April 7, 2018
PubMed
Summary
This summary is machine-generated.

Neuroscience researchers discovered simple rules governing brain development. These rules explain how precise neural circuits and visual maps form in the fruit fly (Drosophila) visual system.

More Related Videos

Neurogenesis Using P19 Embryonal Carcinoma Cells
07:46

Neurogenesis Using P19 Embryonal Carcinoma Cells

Published on: April 27, 2019

11.6K
The Mouse Hindbrain As a Model for Studying Embryonic Neurogenesis
11:39

The Mouse Hindbrain As a Model for Studying Embryonic Neurogenesis

Published on: January 29, 2018

10.5K

Related Experiment Videos

Last Updated: Feb 12, 2026

Cortical Neurogenesis: Transitioning from Advances in the Laboratory to Cell-Based Therapies
12:38

Cortical Neurogenesis: Transitioning from Advances in the Laboratory to Cell-Based Therapies

Published on: July 19, 2007

6.6K
Neurogenesis Using P19 Embryonal Carcinoma Cells
07:46

Neurogenesis Using P19 Embryonal Carcinoma Cells

Published on: April 27, 2019

11.6K
The Mouse Hindbrain As a Model for Studying Embryonic Neurogenesis
11:39

The Mouse Hindbrain As a Model for Studying Embryonic Neurogenesis

Published on: January 29, 2018

10.5K

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Computational Biology

Background:

  • Formation of complex neural circuits requires precise temporal, spatial, and numerical control during development.
  • Understanding the underlying developmental programs is a central question in neuroscience.

Purpose of the Study:

  • To reveal simple developmental rules that govern neurogenesis.
  • To understand how these rules establish organized retinotopic maps in the Drosophila visual system.

Main Methods:

  • The study analyzed neurogenesis in the Drosophila visual system.
  • Developmental rules governing sequential cell formation were investigated.

Main Results:

  • Identified simple developmental rules that dictate sequential neurogenesis.
  • Demonstrated that these rules concurrently establish highly organized retinotopic maps.

Conclusions:

  • Simple developmental rules can explain the precise formation of complex neural circuits.
  • The findings provide insights into the developmental mechanisms of visual system organization.