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

Neuronal Communication

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...

Neural Circuits

Neural Circuits

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...

Social Scripts

People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter), the opening...

Higher Mental Functions of the Brain: Language

Higher Mental Functions of the Brain: Language

Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...

You might also read

Related Articles

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

Sort by

Same author

Single camera estimation of microswimmer depth with a convolutional network.

Journal of the Royal Society, Interface·2025

Same author

Theory of axo-axonic inhibition.

PLoS computational biology·2025

Same author

Visual activity enhances neuronal excitability in thalamic relay neurons.

Science advances·2025

Same author

Interaction of the mechanosensitive microswimmer <i>Paramecium</i> with obstacles.

Royal Society open science·2023

Same author

An electrophysiological and kinematic model of Paramecium, the "swimming neuron".

PLoS computational biology·2023

Same author

Does the present moment depend on the moments not lived?

The Behavioral and brain sciences·2022

Search research articles

Related Experiment Video

Updated: May 19, 2026

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

On the design of script languages for neural simulation.

Romain Brette¹

¹Laboratoire Psychologie de la Perception, CNRS, Université Paris Descartes, Paris, France. romain.brette@ens.fr

Network (Bristol, England)

|August 18, 2012

Summary

Designing neural simulation languages should prioritize user cognitive effort alongside expressivity. Minimizing "language entropy" can simplify model creation and simulation for researchers.

Area of Science:

Computational Neuroscience
Neuroscience Informatics

Background:

Neural network simulators rely on domain-specific or general programming languages for model specification.
Standardized languages like NeuroML are being developed to facilitate model sharing and simulation.

Purpose of the Study:

To propose minimizing cognitive effort as a key design goal for neural simulation languages.
To introduce the concept of "language entropy" to quantify user cognitive load.

Main Methods:

Formalizing the notion of cognitive effort using "language entropy".
Developing practical guidelines to reduce language entropy in neural simulation contexts.

Main Results:

Expressivity alone is insufficient for effective neural simulation language design.

More Related Videos

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

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

Published on: March 2, 2015

Designing and Implementing Nervous System Simulations on LEGO Robots

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

Related Experiment Videos

Last Updated: May 19, 2026

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

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

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

Published on: March 2, 2015

Designing and Implementing Nervous System Simulations on LEGO Robots

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

A framework for evaluating and minimizing cognitive load in these languages is proposed.

Conclusions:

Reducing language entropy enhances usability and accessibility of neural simulation tools.
Practical guidelines can aid in creating more user-friendly languages for computational neuroscience research.