Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cellular Differentiation

Cellular Differentiation

How does a complex organism such as a human develop from a single cell? It all starts from a single fertilized egg which gives rise to a vast array of cell types, such as nerve cells, muscle cells, and epithelial cells that characterize the adult? Throughout development and adulthood, cellular differentiation leads cells to assume their final morphology and physiology. Differentiation is the process by which unspecialized cells become specialized to carry out distinct functions.
A zygote is a...

Cell Diversity

Cell Diversity

The concept of a cell started with microscopic observations of dead cork tissue by Robert Hooke in 1665. Hooke coined the term "cell" based on the resemblance of the small subdivisions in the cork to the rooms that monks inhabited, called cells. About ten years later, Antonie van Leeuwenhoek became the first person to observe the living and moving cells under a microscope. In the century that followed, the theory that cells represented the basic unit of life developed.
Multicellular...

What are Cells?

What are Cells?

Cells are the smallest and basic units of life, whether it is a single cell that forms the entire organism, e.g., in a bacterium or trillions of them, e.g., in humans. No matter what organism a cell is a part of, they share specific characteristics.
Basic Characteristics of Cells
A living cell has a plasma membrane, a bilayer of lipids that separates the aqueous solution inside the cell called the cytoplasm from the outside environment.
Furthermore, a living cell possesses genetic information...

What are Cells?

What are Cells?

Cells are the smallest and basic units of life, whether it is a single cell that forms the entire organism, e.g., in a bacterium, or trillions of them, e.g., in humans. No matter what organism a cell is a part of, they share specific characteristics.
Basic Characteristics of Cells
A living cell has a plasma membrane, a bilayer of lipids that separates the aqueous solution inside the cell called the cytoplasm from the outside environment.
Furthermore, a living cell possesses genetic information...

Animal and Plant Cell Structure

Animal and Plant Cell Structure

Animal and plant cells not only differ in their structure, function, and mode of nutrition but also in how they reproduce, specialize, and organize into complex structures.
Cell Division
Though both plant and animal cells divide by mitosis (for non-gametic cells) and meiosis (for gametic cells), they differ in the specifics of this process. Unlike animal cells, plant cells lack centrosomes — an organelle responsible for organizing the spindle fibers and segregating the chromosomes during...

Subcellular Fractionation

Subcellular Fractionation

The homogenate obtained after cell lysis contains various membrane-bound organelles that can be further separated into pure fractions by subcellular fractionation. These isolates are used to study specific cellular components, analyze localized protein activity, and are even employed in diagnostics. Fractionation is typically achieved using centrifugation methods, the most common being density-gradient and differential centrifugation.
Differential Centrifugation
Differential centrifugation is...

You might also read

Related Articles

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

Sort by

Same author

Hippocampal Place Cells with NMDARs Do Not Require Excitation and Inhibition to Be Reciprocally Tuned.

bioRxiv : the preprint server for biology·2026

Same author

Behavioral Timescale Synaptic Plasticity: A Burst in the Field of Learning and Memory.

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

Same author

Cellular and subcellular specialization enables biology-constrained deep learning.

bioRxiv : the preprint server for biology·2025

Same author

Neuromorphic one-shot learning utilizing a phase-transition material.

Proceedings of the National Academy of Sciences of the United States of America·2024

Same author

Offline memory replay in recurrent neuronal networks emerges from constraints on online dynamics.

The Journal of physiology·2022

Same author

Dendritic Domain-Specific Sampling of Long-Range Axons Shapes Feedforward and Feedback Connectivity of L5 Neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2022

Same journal

Dysregulated calcium signaling underlies hyposalivation and microbial dysbiosis in Down syndrome.

Cell reports·2026

Same journal

Collagen 1-mediated CXCL1 secretion in tumor cells activates fibroblasts to promote radioresistance of esophageal cancer.

Cell reports·2026

Same journal

Identification of superstalsis, a motility program distinct from peristalsis in the Drosophila midgut.

Cell reports·2026

Same journal

HDAC10 promotes Th17 differentiation and IL-17A-driven neutrophilic airway inflammation in severe asthma.

Cell reports·2026

Same journal

Outer membrane remodeling via lipid-peptidoglycan crosstalk enables lipooligosaccharide-deficient colistin resistance.

Cell reports·2026

Same journal

The gut microbiome of a Northern Plains tribe is in transition between global Indigenous and industrialized populations.

Cell reports·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 29, 2026

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Published on: March 3, 2023

Cellular and subcellular specialization enables biology-constrained deep learning.

Alessandro R Galloni¹, Ajay Peddada¹, Yash Chennawar²

¹Center for Advanced Biotechnology and Medicine and Department of Neuroscience and Biology, Rutgers Biomedical and Health Sciences, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.

|March 27, 2026

Summary

This summary is machine-generated.

Biological learning relies on specialized neurons and dendritic compartments. A new deep learning model, dendritic target propagation, simulates this for image classification, offering testable predictions for neuroscience.

Keywords:

CP: neuroscience computational neuroscience dendrites interneurons learning synaptic plasticity

More Related Videos

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

Related Experiment Videos

Last Updated: Mar 29, 2026

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Published on: March 3, 2023

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

Area of Science:

Neuroscience
Computational Neuroscience
Artificial Intelligence

Background:

Neuronal plasticity underlies learning, but its population-level organization is unclear.
Artificial neural networks (ANNs) inform learning theories but often lack biological realism.
Modern ANNs are incompatible with fundamental neuroscience principles.

Purpose of the Study:

To test a theory linking biological learning to cell-type specialization and dendritic compartmentalization.
To develop a biologically constrained artificial neural network model for learning.
To provide insights into neural mechanisms of learning and generate testable predictions.

Main Methods:

Developed multilayer ANNs with distinct excitatory and inhibitory cell types.
Incorporated neuronal units with separate dendritic compartments.
Utilized a novel deep learning algorithm, dendritic target propagation, adhering to biological constraints.

Main Results:

The model successfully classified images using the biology-compatible algorithm.
Demonstrated that cell-type specialization and dendritic compartmentalization support learning.
The model adheres to strict biological constraints.

Conclusions:

Biological learning likely depends on neuronal cell type specialization and dendritic compartmentalization.
Dendritic target propagation offers a biologically plausible model for learning.
The model yields experimentally testable predictions about cell types and learning coordination.