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

The First Law of Thermodynamics01:13

The First Law of Thermodynamics

5.6K
The first law of thermodynamics deals with the total amount of energy in the universe. It states that this total amount of energy is constant. In other words, there has always been, and always will be, exactly the same amount of energy in the universe. Energy exists in many different forms. According to the first law of thermodynamics, energy may transfer from place to place or transform into different forms, but it cannot be created or destroyed. The transfers and transformations of energy...
5.6K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

2.8K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
2.8K
First Law of Thermodynamics00:37

First Law of Thermodynamics

61.1K
The First Law of Thermodynamics states that energy cannot be created or destroyed, only transformed. This can be demonstrated within a classic food web where light energy from the sun is harnessed as radiant energy by plants, converted into chemical energy, and stored as complex carbohydrates. The vegetation is then consumed by animals and during the digestion process, the sugars release energy as heat. The sugars also produce chemical energy that either gets used up doing work, stored in...
61.1K
Path Between Thermodynamics States01:21

Path Between Thermodynamics States

3.1K
Consider the two thermodynamic processes involving an ideal gas that are represented by paths AC and ABC in Figure 1:
3.1K
First Law Of Thermodynamics: Problem-Solving01:21

First Law Of Thermodynamics: Problem-Solving

2.5K
The first law of thermodynamics states that the change in internal energy of the system is equal to the net heat transfer into the system minus the net work done by the system. This equation is a generalized form of energy conservation and can be applied to any thermodynamic process.
The following strategies can be used to solve any problem involving the first law of thermodynamics.
2.5K
Statements of the Second Law of Thermodynamics01:15

Statements of the Second Law of Thermodynamics

2.6K
The second law of thermodynamics can be stated in several different ways, and all of them can be shown to imply the others. The Clausius’ statement of the second law of thermodynamics is based on the irreversibility of spontaneous heat flow. It states that heat will not flow from the colder body to the hotter body unless some other process is involved. Additionally, as per the Kelvin’s statement, it is impossible to convert the heat from a single source into work without any other...
2.6K

You might also read

Related Articles

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

Sort by
Same author

Energetics of stochastic BCM type synaptic plasticity and storing of accurate information.

Journal of computational neuroscience·2021
Same author

Optimal synaptic signaling connectome for locomotory behavior in Caenorhabditis elegans: Design minimizing energy cost.

PLoS computational biology·2017
See all related articles

Related Experiment Video

Updated: Jun 12, 2025

Perspectives on Neuroscience
00:26

Perspectives on Neuroscience

Published on: July 31, 2007

4.9K

Information Thermodynamics: From Physics to Neuroscience.

Jan Karbowski1

  • 1Institute of Applied Mathematics and Mechanics, Department of Mathematics, Informatics and Mechanics, University of Warsaw, 02-097 Warsaw, Poland.

Entropy (Basel, Switzerland)
|September 27, 2024
PubMed
Summary

This study integrates information thermodynamics from physics into theoretical neuroscience. It shows how neural systems can process information and energy together, enabling learning and inference in neural networks.

Keywords:
computational neuroscienceinferenceinformationlearningneurons and synapsesnon-equilibrium stochastic thermodynamicsplasticity

More Related Videos

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

33.7K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K

Related Experiment Videos

Last Updated: Jun 12, 2025

Perspectives on Neuroscience
00:26

Perspectives on Neuroscience

Published on: July 31, 2007

4.9K
Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

33.7K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K

Area of Science:

  • Theoretical Neuroscience
  • Statistical Physics
  • Information Theory

Background:

  • Traditionally, information and energy in neuroscience are studied separately.
  • Physics integrates entropy production and heat in non-equilibrium systems.
  • A unified framework for information and energy in neural systems is lacking.

Purpose of the Study:

  • To apply information thermodynamics to theoretical neuroscience problems.
  • To demonstrate a unified framework for information and energy in neural systems.
  • To explore physical underpinnings of neural inference, learning, and information storage.

Main Methods:

  • Utilizing concepts from non-equilibrium statistical physics and information theory.
  • Modeling a Brownian particle's motion and its inference by noisy neural networks.
  • Analyzing the energy cost and accuracy of neural decoding and learning processes.

Main Results:

  • Neural networks can infer probabilistic motion and decode particle dynamics with quantifiable accuracy and energy cost.
  • The framework allows for a physical understanding of how neural networks learn and store information in synaptic weights.
  • Information thermodynamics provides a practical tool for studying neural processes.

Conclusions:

  • Information thermodynamics offers a unified approach to understanding information and energy in neural systems.
  • This framework can illuminate the physical principles behind neural inference, learning, and memory.
  • The study bridges statistical physics and neuroscience, opening new avenues for research.