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

Perception

Perception

Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...

Relative Motion Analysis using Rotating Axes-Problem Solving

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...

You might also read

Related Articles

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

Sort by

Same author

Effects of Initial Experiences on Risky Choice.

Quarterly journal of experimental psychology (2006)·2026

Same author

Cognitive strategies involved in the discrimination of geometric angles.

Learning & behavior·2026

Same author

Combining social and private information: How ants use pheromones and learnt cues to navigate.

Learning & behavior·2026

Same author

Waiting for reward: preference for signalled delays increases with average wait time.

Animal cognition·2026

Same author

Correction: Pinyon Jays (Gymnorhinus cyanocephalus) and Clark's nutcrackers (Nucifraga columbiana) can discriminate between pilfering and non-pilfering conspecifics, but not between heterospecifics.

Animal cognition·2025

Same author

Pinyon Jays (Gymnorhinus cyanocephalus) and Clark's nutcrackers (Nucifraga columbiana) can discriminate between pilfering and non-pilfering conspecifics, but not between heterospecifics.

Animal cognition·2025

Same journal

Corrigendum to 'Consonant, vowel, and tone cues in early wordform recognition: Evidence from Cantonese-learning infants' [Cognition 275 (2026) 106624].

Cognition·2026

Same journal

Identifying distinct sources of whole number interference in children's decimal comparison: the role of numerical magnitude and inhibitory control.

Cognition·2026

Same journal

Evidence for abstract spatial concept learning in young animals.

Cognition·2026

Same journal

Blurred lines or clear boundaries? Synchrony and social dominance shape domain-specific self-other processing.

Cognition·2026

Same journal

Knowability predicts curiosity and learning.

Cognition·2026

Same journal

Throwing good effort after bad: Evidence for a sunk-cost effect in cognitive effort-based decision-making.

Cognition·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 19, 2026

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

Using perceptrons to explore the reorientation task.

Michael R W Dawson¹, Debbie M Kelly, Marcia L Spetch

¹Department of Psychology, University of Alberta, Edmonton, Alberta, Canada. mdawson@ualberta.ca

|October 3, 2009

Summary

This summary is machine-generated.

A simple perceptron neural network can replicate findings from spatial reorientation tasks, suggesting geometric modules aren't necessary for spatial processing. This research explores navigation strategies in humans and animals.

More Related Videos

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

Published on: August 8, 2019

Related Experiment Videos

Last Updated: Jun 19, 2026

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze

Published on: February 20, 2014

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

Published on: August 8, 2019

Area of Science:

Cognitive Science
Neuroscience
Artificial Intelligence

Background:

The reorientation task is a key paradigm for studying spatial navigation in humans and animals.
It investigates how agents use environmental cues (geometric and featural) to reorient after disorientation.

Purpose of the Study:

To demonstrate that a simple perceptron neural network can simulate established findings in spatial reorientation tasks.
To challenge the necessity of a dedicated geometric module for spatial processing.

Main Methods:

Simulations using a perceptron neural network model.
Analysis of the network's ability to replicate traditional reorientation task results.

Main Results:

The perceptron successfully generated results consistent with human and animal reorientation behaviors.
The model's performance suggests a simpler computational basis for reorientation.

Conclusions:

Spatial reorientation regularities can be explained by simple neural network mechanisms.
This challenges the assumption of specialized geometric modules in spatial cognition.