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

Principle of Equivalence

Principle of Equivalence

According to Albert Einstein (1897-1955), free-falling and feeling weightless are intrinsically linked. If a person were in free-fall under gravity, for example, diving towards the Earth from an airplane, they would feel completely weightless. Similarly, a person descending in a lift may feel partially weightless. Broadly speaking, it is assumed that an object in a uniform gravitational field and an object undergoing constant acceleration in the absence of gravity are under the same...

Gestalt Principles of Perception

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...

Cognitive Learning

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...

Piaget's Theory of Cognitive Development from Childhood into Adulthood

Piaget's Theory of Cognitive Development from Childhood into Adulthood

Jean Piaget's theory of cognitive development emphasizes the role of thinking in a child's learning process, suggesting that children are naturally curious about their environment. His approach to development is discontinuous, proposing that cognitive abilities progress through distinct stages, each with unique characteristics. Central to Piaget's theory is schemata—mental structures that allow individuals to understand and interpret the world.
Schemata: Building Blocks of Knowledge
Schemata...

Transformation

Transformation

Microbial communities are dynamic environments where cell lysis releases free DNA into the surroundings. Other cells can take up this extracellular DNA through a process known as transformation.When a cell incorporates this foreign DNA into its genome, resulting in genetic modification, the process is known as transformation. Cells capable of this process are termed competent. Competence can be natural, as observed in certain bacteria and archaea, or artificially induced in the...

Social Foundations of Self II: The Generalized Other

Social Foundations of Self II: The Generalized Other

According to George Herbert Mead, as children progress beyond the game stage, they develop a more comprehensive understanding of societal rules and norms. This cognitive and social development enables them to internalize the expectations of the broader community, refining their ability to regulate behavior.Consistent participation in organized activities is crucial in helping children recognize that their actions are not isolated but contribute to a more significant, interconnected group effort.

You might also read

Related Articles

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

Sort by

Same author

Frontocingulate-parietal-limbic circuits associated with both ruminative brooding and self-regulatory processes.

Frontiers in human neuroscience·2026

Same author

The conceptualization, measurement, and critical appraisal of computational models of anhedonia in depression.

Neuroscience and biobehavioral reviews·2026

Same author

Reduced task-switching flexibility in parietal-cingulate and frontal circuits associated with brooding.

Cognitive neurodynamics·2026

Same author

Acellular Adipose Tissue promotes anti-fibrotic remodeling in Phase II Study.

medRxiv : the preprint server for health sciences·2026

Same author

Immune checkpoint inhibitors amplify type 2 immune mediated repair by pro-regenerative scaffolds.

bioRxiv : the preprint server for biology·2026

Same author

Uncovering UK coastal legacy wastes and their potential contaminant release risks through mineralogy and geochemistry.

Journal of hazardous materials·2026

Same journal

A Model-Free Reinforcement Learning Implementation of Decision Making Under Uncertainty by Sequential Sampling.

Neural computation·2026

Same journal

DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning.

Neural computation·2026

Same journal

Hierarchical Active Inference Using Successor Representations.

Neural computation·2026

Same journal

W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators.

Neural computation·2026

Same journal

A Hidden Markov Model-Inspired Sequence Classification Method for Hyperdimensional Computing.

Neural computation·2026

Same journal

Sparse Graphical Modeling for Electrophysiological Phase-Based Connectivity Using Circular Statistics.

Neural computation·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 24, 2026

A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras

A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras

Published on: October 5, 2018

A principle for learning egocentric-allocentric transformation.

Patrick Byrne¹, Suzanna Becker

¹Department of Psychology, Neuroscience and Behavior, McMaster University, Hamilton, Ontario, L8S 4K1, Canada. pbyrne@yorku.ca

Neural Computation

|November 30, 2007

Summary

This summary is machine-generated.

Neural circuits can learn orientation-invariant spatial representations by minimizing reconstruction error and maximizing temporal inertia. This approach generates place-cell-like activity, crucial for spatial memory and navigation.

More Related Videos

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

Related Experiment Videos

Last Updated: Jun 24, 2026

A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras

A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras

Published on: October 5, 2018

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

Area of Science:

Neuroscience
Computational Neuroscience

Background:

Mammalian hippocampal neurons, known as place cells, exhibit orientation-independent spatial firing, suggesting allocentric representations for spatial memory.
The brain must transform egocentric sensory input into allocentric representations for memory storage and vice versa for motor control.

Discussion:

This study proposes two learning principles for neural circuits: minimizing reconstruction error and maximizing representational temporal inertia.
These principles enable the learning of orientation-invariant spatial representations.

Key Insights:

Two neural network models were developed to implement these learning principles.
A restricted Boltzmann machine model demonstrated biologically plausible place-cell-like responses in a linear track environment.

Outlook:

These findings offer a computational framework for understanding spatial representation learning in the hippocampus.
Further research can explore the application of these principles to other cognitive functions involving spatial processing and memory.