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

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

Decision Making

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...

Nursing Code of Ethics

Nursing Code of Ethics

The Nursing Code of Ethics sets the ethical benchmark for the profession, and guides nurses in ethical analysis and decision making at the societal, organizational, and clinical levels. The code encompasses showing compassion and respect for the patient, their families, and communities in all circumstances while committing to providing patient-centered care. In addition, the code states that nurses must advocate for the patient by defending a cause or recommendation to protect their rights,...

Sound Intensity

Sound Intensity

The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the...

Decision Making: P-value Method

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...

You might also read

Related Articles

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

Sort by

Same author

The Crunchometer, a low-cost, open-source acoustic analysis of feeding microstructure.

eLife·2026

Same author

Optogenetic insights into short- and long-duration random noise electrical stimulation.

Journal of neurophysiology·2026

Same author

The Crunchometer: A Low-Cost, Open-Source Acoustic Analysis of Feeding Microstructure.

bioRxiv : the preprint server for biology·2025

Same author

A gut sense for a microbial pattern regulates feeding.

Nature·2025

Same author

Automatic OptoDrive for Extracellular Recordings and Optogenetic Stimulation in Freely Moving Mice.

eNeuro·2025

Same author

Sex-specific effects of appetite suppressants on stereotypy in rats.

PloS one·2025

Search research articles

Related Experiment Video

Updated: Feb 2, 2026

New Methods to Study Gustatory Coding

New Methods to Study Gustatory Coding

Published on: June 29, 2017

Sucrose intensity coding and decision-making in rat gustatory cortices.

Esmeralda Fonseca¹, Victor de Lafuente², Sidney A Simon³

¹Laboratory of Neurobiology of Appetite, Department of Pharmacology, Center for Research and Advanced Studies of the National Polytechnic Institute, Mexico City, Mexico.

|November 20, 2018

Summary

Researchers studied how the brain processes sucrose intensity. Findings reveal a compact, distributed neural code for sweetness intensity in taste-sensitive brain regions, crucial for decision-making.

Keywords:

decision-variables neuroscience obesity rat reward taste Intensity taste coding

More Related Videos

A General Method for Evaluating Incubation of Sucrose Craving in Rats

A General Method for Evaluating Incubation of Sucrose Craving in Rats

Published on: November 4, 2011

Quantification of Filamentous Actin F-actin Puncta in Rat Cortical Neurons

Quantification of Filamentous Actin F-actin Puncta in Rat Cortical Neurons

Published on: February 10, 2016

Related Experiment Videos

Last Updated: Feb 2, 2026

New Methods to Study Gustatory Coding

New Methods to Study Gustatory Coding

Published on: June 29, 2017

A General Method for Evaluating Incubation of Sucrose Craving in Rats

A General Method for Evaluating Incubation of Sucrose Craving in Rats

Published on: November 4, 2011

Quantification of Filamentous Actin F-actin Puncta in Rat Cortical Neurons

Quantification of Filamentous Actin F-actin Puncta in Rat Cortical Neurons

Published on: February 10, 2016

Area of Science:

Neuroscience
Sensory processing
Gustatory system

Background:

Sweet intensity of sucrose contributes to overconsumption of palatable foods.
Neural mechanisms for encoding sucrose intensity and guiding perceptual decisions remain unclear.

Purpose of the Study:

To investigate how neurons in taste-sensitive cortices encode sucrose intensity.
To determine the role of these neural codes in perceptual decision-making.

Main Methods:

Rats were trained on a sucrose intensity discrimination task.
Neuronal activity was recorded in the posterior-Insula (pIC), anterior-Insula (aIC), and Orbitofrontal cortex (OFC).

Main Results:

Sucrose evoked widespread neuronal responses across pIC, aIC, and OFC.
A compact and distributed code, using firing rates and spike-timing, represents sucrose intensity.
OFC neurons showed the most robust tracking of movement direction.
aIC and OFC neurons encoded subject choices and reward omission.

Conclusions:

Multimodal areas (pIC, aIC, OFC) provide a neural representation of perceived sucrose intensity.
These brain regions encode task-related information essential for perceptual decision-making regarding sweetness.