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

Spinal Cord: Information Processing01:10

Spinal Cord: Information Processing

4.1K
The spinal cord is an integral hub for motor and sensory information that enables the brain to communicate with the peripheral nervous system (PNS). This communication consists of relaying sensory data and transmission of motor commands.
Sensory Information Processing
Sensory information processing begins at the sensory receptors located in the skin and other tissues, which detect somatic sensory stimuli such as touch, temperature, or pain. These receptors function as catalysts, initiating...
4.1K
Neural Circuits01:25

Neural Circuits

3.0K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
3.0K
Neuron Structure01:31

Neuron Structure

196.3K
Overview
196.3K
Neuron Structure01:30

Neuron Structure

17.6K
Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to...
17.6K
Cerebellum: Anatomical Regions01:17

Cerebellum: Anatomical Regions

5.2K
The cerebellum, also known as the "little brain," is located in the posterior cranial fossa, inferior to the tentorium cerebelli and dorsal to the brainstem. It plays a significant role in motor control, coordination, and proprioception.
Cerebellar Structure
Externally, the cerebellum features a highly convoluted surface with numerous folia (narrow ridges) separated by shallow sulci (grooves). The cerebellum is divided into two hemispheres by a thin median structure known as the vermis. The...
5.2K
Reducing Line Loss01:18

Reducing Line Loss

502
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
502

You might also read

Related Articles

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

Sort by
Same author

Selective, genetically induced increase in synaptic vesicle priming.

Science advances·2026
Same author

Predisposed and learned preferences for multipoint visual statistics in visually naive newly hatched chicks.

Proceedings. Biological sciences·2026
Same author

Seeing what you hear: Compression of rat visual perceptual space by task-irrelevant sounds.

PLoS computational biology·2025
Same author

Diverse calcium dynamics underlie place field formation in hippocampal CA1 pyramidal cells.

eLife·2025
Same author

Altered Molecular Composition of a Specific Subset of Prefrontal Cortical Excitatory Synapses in Schizophrenia.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025
Same author

Increased excitatory synapse size in hippocampal place cells compared to silent cells.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same journal

Spatiomolecular mapping reveals anatomical organization of heterogeneous cell types in the human nucleus accumbens.

Neuron·2026
Same journal

TGF-β1-induced endothelial transcytosis drives blood-brain barrier leakage during aging.

Neuron·2026
Same journal

Image space opens up for visual neuroscience.

Neuron·2026
Same journal

Septal GLP-1 receptors control alcohol taking and seeking.

Neuron·2026
Same journal

Microglial fitness in moderation: Tuning TREM2 signaling through Ptpn6.

Neuron·2026
Same journal

Human astrocytes keep time with inflammation.

Neuron·2026
See all related articles

Related Experiment Video

Updated: Apr 25, 2026

Revealing Neural Circuit Topography in Multi-Color
09:11

Revealing Neural Circuit Topography in Multi-Color

Published on: November 14, 2011

14.5K

Network structure within the cerebellar input layer enables lossless sparse encoding.

Guy Billings1, Eugenio Piasini1, Andrea Lőrincz2

  • 1Department of Neuroscience, Physiology and Pharmacology, University College London, London, WC1E 6BT UK.

Neuron
|August 16, 2014
PubMed
Summary
This summary is machine-generated.

Neuronal network structure, specifically synaptic connectivity, optimizes information processing. This study reveals how cerebellar input layer connectivity enables efficient, lossless sparse encoding, explaining conserved granule cell structure.

More Related Videos

Assessment of Long-term Depression Induction in Adult Cerebellar Slices
09:30

Assessment of Long-term Depression Induction in Adult Cerebellar Slices

Published on: October 16, 2019

6.2K
Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings
10:24

Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings

Published on: January 10, 2015

16.8K

Related Experiment Videos

Last Updated: Apr 25, 2026

Revealing Neural Circuit Topography in Multi-Color
09:11

Revealing Neural Circuit Topography in Multi-Color

Published on: November 14, 2011

14.5K
Assessment of Long-term Depression Induction in Adult Cerebellar Slices
09:30

Assessment of Long-term Depression Induction in Adult Cerebellar Slices

Published on: October 16, 2019

6.2K
Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings
10:24

Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings

Published on: January 10, 2015

16.8K

Area of Science:

  • Computational Neuroscience
  • Systems Neuroscience
  • Neuroanatomy

Background:

  • Synaptic connectivity in neuronal networks is crucial for information processing.
  • The precise relationship between network structure and function, particularly in the cerebellum, is not well understood.
  • Understanding this relationship can explain conserved biological features.

Purpose of the Study:

  • To investigate how synaptic connectivity influences information transmission and processing in neuronal networks.
  • To determine the optimal network structure for efficient and lossless sparse encoding.
  • To provide a functional explanation for the conserved dendritic structure of cerebellar granule cells.

Main Methods:

  • Quantitative anatomical analysis of the cerebellar input layer.
  • Information theoretic analysis applied to simplified binary network models.
  • Validation using biologically detailed spiking network models with experimentally constrained parameters.

Main Results:

  • Synaptic connectivity in feedforward networks dictates the balance between information transmission and sparse encoding.
  • Networks with sparse synaptic connections and activity-dependent thresholds achieve optimal lossless sparse encoding across various input activities.
  • Analytical predictions were confirmed in detailed spiking network models.

Conclusions:

  • Synaptic connectivity in the cerebellar input layer facilitates efficient and lossless sparse encoding.
  • The study provides a functional basis for the evolutionarily conserved feature of approximately four dendrites in granule cells.
  • Network structure-function relationships are critical for understanding neural computation and evolution.