Jove
Visualize
Contact Us

Related Concept Videos

Prediction Intervals01:03

Prediction Intervals

2.2K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
2.2K
Drugs Affecting Neurotransmitter Synthesis01:29

Drugs Affecting Neurotransmitter Synthesis

1.3K
Drugs affecting neurotransmitter synthesis can impact the adrenergic neuron and the synthesis of neurotransmitters. For example, α-methyltyrosine and carbidopa target specific enzymes involved in catecholamine synthesis. α-methyltyrosine inhibits the enzyme tyrosine hydroxylase, which converts tyrosine into dopamine. By blocking this enzyme, α-methyltyrosine reduces dopamine production and other catecholamines. Carbidopa, on the other hand, inhibits the enzyme dopa decarboxylase,...
1.3K
Random and Systematic Errors01:20

Random and Systematic Errors

10.9K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
10.9K
Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

189
Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
189
Hindsight Biases01:12

Hindsight Biases

3.4K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
3.4K
Parkinson's Disease: Treatment01:24

Parkinson's Disease: Treatment

244
Neurodegenerative disorders, such as Parkinson's Disease (PD), involve the gradual and irreversible destruction of neurons in particular brain areas. These disorders exhibit standard features like proteinopathies, selective vulnerability of some neurons, and an interaction of intrinsic properties, genetics, and environmental influences in neural injury.
Parkinson's Disease is primarily a result of the loss of dopaminergic neurons in the substantia nigra pars compacta. The cornerstone of...
244

You might also read

Related Articles

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

Sort by
Same author

Dopamine in the ventral and tail of striatum supports global and local evaluation in reward-threat conflict.

bioRxiv : the preprint server for biology·2026
Same author

Human-level learning of complex novel tasks as theory-based modelling, exploration and planning.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same author

Artificial intelligence for science: The easy and hard problems.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same author

Spectral envelopes of facial movements predict intention, cortical representations, and neural prosthetic control.

bioRxiv : the preprint server for biology·2026
Same author

Stiefel Manifold Dynamical Systems for Tracking Representational Drift.

bioRxiv : the preprint server for biology·2026
Same author

Phasic dopamine drives conditioned responding beyond its role in learning.

bioRxiv : the preprint server for biology·2026
Same journal

Glycosylation in Alzheimer's disease.

Nature neuroscience·2026
Same journal

Neuropixels harness the light.

Nature neuroscience·2026
Same journal

Clarity in clearance pathways.

Nature neuroscience·2026
Same journal

Hypothalamic specification in a dish.

Nature neuroscience·2026
Same journal

Author Correction: A route for cerebrospinal fluid flow through leptomeningeal arterial-venous overlaps enables macromolecule and fluid shunting.

Nature neuroscience·2026
Same journal

Author Correction: Prefrontal engrams of long-term fear memory perpetuate pain perception.

Nature neuroscience·2026
See all related articles
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 Experiment Video

Updated: Jun 19, 2025

Comprehensive Profiling of Dopamine Regulation in Substantia Nigra and Ventral Tegmental Area
09:54

Comprehensive Profiling of Dopamine Regulation in Substantia Nigra and Ventral Tegmental Area

Published on: August 10, 2012

25.8K

Explaining dopamine through prediction errors and beyond.

Samuel J Gershman1,2, John A Assad3, Sandeep Robert Datta3

  • 1Department of Psychology and Center for Brain Science, Harvard University, Cambridge, MA, USA. gershman@fas.harvard.edu.

Nature Neuroscience
|July 25, 2024
PubMed
Summary
This summary is machine-generated.

Phasic dopamine signaling, crucial for reward prediction errors (RPEs), requires a generalized RPE concept to explain its diverse functions, including ramping, sensory responses, and action selection in animals.

More Related Videos

Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

8.6K
Presynaptic Dopamine Dynamics in Striatal Brain Slices with Fast-scan Cyclic Voltammetry
08:49

Presynaptic Dopamine Dynamics in Striatal Brain Slices with Fast-scan Cyclic Voltammetry

Published on: January 12, 2012

21.9K

Related Experiment Videos

Last Updated: Jun 19, 2025

Comprehensive Profiling of Dopamine Regulation in Substantia Nigra and Ventral Tegmental Area
09:54

Comprehensive Profiling of Dopamine Regulation in Substantia Nigra and Ventral Tegmental Area

Published on: August 10, 2012

25.8K
Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

8.6K
Presynaptic Dopamine Dynamics in Striatal Brain Slices with Fast-scan Cyclic Voltammetry
08:49

Presynaptic Dopamine Dynamics in Striatal Brain Slices with Fast-scan Cyclic Voltammetry

Published on: January 12, 2012

21.9K

Area of Science:

  • Neuroscience
  • Computational Psychiatry
  • Behavioral Biology

Background:

  • The dominant theory posits that phasic dopamine signals reward prediction errors (RPEs).
  • This RPE-based interpretation faces challenges in explaining all observed dopamine signaling properties.
  • Conflicting interpretations of dopamine's role persist in scientific literature.

Purpose of the Study:

  • To address empirical challenges to the RPE theory of dopamine signaling.
  • To reconcile existing interpretations of dopamine function.
  • To explore prospects for a unifying theory of dopamine signaling.

Main Methods:

  • Analysis of three key empirical challenges to the RPE theory: dopamine ramping, sensory/motor feature responses, and action selection influence.
  • Re-evaluation and generalization of the prediction error concept.
  • Discussion of diverse empirical findings and complex dopaminergic circuitry.

Main Results:

  • A generalized prediction error concept can address dopamine ramping, sensory/motor responses, and action selection.
  • Certain empirical findings still necessitate theoretical explanations beyond basic RPE encoding.
  • Dopamine signaling exhibits a diversity of functions and complex underlying circuitry.

Conclusions:

  • The RPE theory, when suitably modified and generalized, offers a robust framework for understanding key dopamine functions.
  • Further theoretical development is needed to encompass the full spectrum of dopamine signaling diversity.
  • A unifying theory must integrate diverse dopamine functions and the intricate neural circuits involved.