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

You might also read

Related Articles

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

Sort by
Same author

Self-generated hydrogel ejects bacterial cells for localized biofilm dispersion.

Nature microbiology·2026
Same author

Cell-type resolved transcriptional network analysis of in vivo cellular senescence following injury.

PLoS computational biology·2026
Same author

Compositional and interpretable representation of histology using AI foundation models and sparse autoencoders.

bioRxiv : the preprint server for biology·2026
Same author

Modeling development of tertiary lymphoid structures in pulmonary tuberculosis by 3D profiling and trajectory analysis.

bioRxiv : the preprint server for biology·2026
Same author

Volumetric Cyclic Immunofluorescence for 3D Spatial Profiling of Immune Structures in Human FFPE Tissue.

bioRxiv : the preprint server for biology·2026
Same author

Mapping gene expression dynamics to developmental phenotypes with information entropy analysis.

NPJ systems biology and applications·2026

Related Experiment Video

Updated: Jun 7, 2025

Studying Habituation in Stentor coeruleus
08:03

Studying Habituation in Stentor coeruleus

Published on: January 6, 2023

3.1K

Biochemically plausible models of habituation for single-cell learning.

Lina Eckert1, Maria Sol Vidal-Saez2, Ziyuan Zhao3

  • 1Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Max-Planck Institute for Neurobiology of Behavior, Bonn 53175, Germany.

Current Biology : CB
|November 20, 2024
PubMed
Summary
This summary is machine-generated.

Simple molecular networks in single cells can exhibit habituation, a basic learning form. This finding suggests cellular-level learning mechanisms mirror those in complex animals, offering new insights into learning processes.

Keywords:
cellular information processinghallmarks of habituationincoherent feedforwardmodification-demodification cyclenegative feedbacktimescale separation

More Related Videos

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
11:20

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

Published on: June 2, 2014

12.0K
In Vivo Optical Calcium Imaging of Learning-Induced Synaptic Plasticity in Drosophila melanogaster
06:35

In Vivo Optical Calcium Imaging of Learning-Induced Synaptic Plasticity in Drosophila melanogaster

Published on: October 8, 2019

9.0K

Related Experiment Videos

Last Updated: Jun 7, 2025

Studying Habituation in Stentor coeruleus
08:03

Studying Habituation in Stentor coeruleus

Published on: January 6, 2023

3.1K
Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
11:20

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

Published on: June 2, 2014

12.0K
In Vivo Optical Calcium Imaging of Learning-Induced Synaptic Plasticity in Drosophila melanogaster
06:35

In Vivo Optical Calcium Imaging of Learning-Induced Synaptic Plasticity in Drosophila melanogaster

Published on: October 8, 2019

9.0K

Area of Science:

  • Biophysics
  • Cellular Biology
  • Computational Neuroscience

Background:

  • Habituation, a simple form of learning, is typically associated with animals possessing brains.
  • However, habituation has been observed in simpler organisms and even individual mammalian cells.
  • Ten hallmarks of habituation exist, with seven related to single-stimulus responses.

Purpose of the Study:

  • To investigate if simple molecular networks can exhibit the hallmarks of habituation.
  • To understand the underlying mechanisms of habituation at the cellular level.
  • To reconcile differing views on stimulus sensitivity in habituation.

Main Methods:

  • Mathematical modeling of molecular networks with negative feedback and incoherent feedforward motifs.
  • Analysis of timescale separation and reversal behavior of memory variables.
  • Simulation of single-stimulus habituation hallmarks.

Main Results:

  • Simple molecular networks robustly exhibit all single-stimulus hallmarks of habituation.
  • The models demonstrate how timescale separation and memory variable reversal drive habituation.
  • Reconciled opposing views on frequency and intensity sensitivity in habituation.

Conclusions:

  • Individual cells can display habituation behaviors as complex as those in multicellular animals.
  • Biomolecular mechanisms provide a simpler yet powerful framework for understanding learning.
  • This research bridges cellular mechanisms with cognitive science perspectives on learning.