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

Long-term Potentiation01:35

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Long-term Potentiation01:25

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when presynaptic neurons...
Purposive Learning01:22

Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...
Observational Learning01:12

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...
Higher Mental Functions of Brain: Learning and Memory01:26

Higher Mental Functions of Brain: Learning and Memory

Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or playing an...
Cognitive Learning01:21

Cognitive Learning

Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...

You might also read

Related Articles

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

Sort by
Same author

Distributed cortical network dynamics of binocular convergent eye movements in humans.

Network neuroscience (Cambridge, Mass.)·2026
Same author

Symbolic fractions have greater neural representational similarity with discretized than continuous nonsymbolic proportional reasoning.

Neuropsychologia·2026
Same author

Introducing QuantConn: Overcoming challenging diffusion acquisitions with harmonization.

Computational diffusion MRI. CDMRI (Workshop)·2025
Same author

Dynamically shifting from compositional to conjunctive brain representations supports cognitive task learning.

Nature communications·2025
Same author

Regularized partial correlation provides reliable functional connectivity estimates while correcting for widespread confounding.

Imaging neuroscience (Cambridge, Mass.)·2025
Same author

Right posterior theta reflects human parahippocampal phase resetting by salient cues during goal-directed navigation.

Imaging neuroscience (Cambridge, Mass.)·2025
Same journal

Vestibular function drives gaze stability in locomoting macaques.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Region- and layer-specific glutamatergic synapse development in the nascent cortical hierarchy.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Endogenous peptide derived from c-Cbl-associated protein counteracts its inhibitory effect on enteric neural crest cell colonization in Hirschsprung disease.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Drowsiness alters the neural dynamics but not the core computations of multisensory integration.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

A Matter of Parameters: Tailored Transcranial Focused Ultrasound Enhances Cortico-Thalamo-Cortical Circuit Resonance.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Proactive visual and motor prioritization differentially scale with cue reliability.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
See all related articles

Related Experiment Video

Updated: Jun 7, 2026

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats
08:59

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats

Published on: June 22, 2015

Prefrontal dynamics underlying rapid instructed task learning reverse with practice.

Michael W Cole1, Anto Bagic, Robert Kass

  • 1Center for the Neural Basis of Cognition, Center for Neuroscience, and Learning Research and Development Center, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA. mwcole@mwcole.net

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|October 22, 2010
PubMed
Summary
This summary is machine-generated.

The brain prepares for new tasks using a bottom-up approach in the prefrontal cortex (PFC), while practiced tasks use a top-down method. This reveals flexible cognitive strategies for task execution.

More Related Videos

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation
20:12

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

Published on: October 8, 2011

An Operant Intra-/Extra-dimensional Set-shift Task for Mice
08:35

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Published on: January 22, 2016

Related Experiment Videos

Last Updated: Jun 7, 2026

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats
08:59

Acquisition of a High-precision Skilled Forelimb Reaching Task in Rats

Published on: June 22, 2015

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation
20:12

Using MazeSuite and Functional Near Infrared Spectroscopy to Study Learning in Spatial Navigation

Published on: October 8, 2011

An Operant Intra-/Extra-dimensional Set-shift Task for Mice
08:35

An Operant Intra-/Extra-dimensional Set-shift Task for Mice

Published on: January 22, 2016

Area of Science:

  • Neuroscience
  • Cognitive Psychology

Background:

  • Adapting to new situations requires rapid mental reconfiguration, but its neural basis is poorly understood.
  • The role of the prefrontal cortex (PFC) in task preparation for both novel and practiced tasks is established, yet the temporal dynamics remain unclear.
  • Recent evidence suggests an anterior-to-posterior hierarchy within the PFC.

Purpose of the Study:

  • To investigate how task preparation differs between novel and practiced tasks within the prefrontal cortex.
  • To determine if hierarchical organization in the PFC underlies distinct preparation mechanisms.
  • To elucidate the temporal sequence of neural activity during novel versus practiced task preparation.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) were used in human participants.
  • Neural activity was recorded during novel and practiced task preparation phases.
  • Analysis focused on activity patterns in anterior PFC (aPFC) and dorsolateral PFC (DLPFC).

Main Results:

  • Novel task preparation followed a bottom-up process: lower-level rule representations in DLPFC preceded higher-level integration in aPFC.
  • Practiced task preparation showed a reversed top-down pattern: higher-level recall in aPFC preceded lower-level representations in DLPFC.
  • Distinct temporal dynamics were observed in hierarchically organized PFC regions for novel versus practiced task preparation.

Conclusions:

  • Two distinct mechanisms for task preparation exist: bottom-up for novel tasks (task set formation) and top-down for practiced tasks (task set retrieval).
  • The human PFC demonstrates remarkable flexibility by employing different neural strategies for task preparation.
  • These findings highlight how the brain dynamically reconfigures cognitive networks to support diverse task demands.