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Related Experiment Video

Updated: Jun 7, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Functional ontologies for cognition: The systematic definition of structure and function.

Cathy J Price¹, Karl J Friston

¹Institute of Neurology, London, UK.

Cognitive Neuropsychology

|November 2, 2010

Summary

Cognitive science models are challenged by brain imaging, suggesting brain areas perform multiple functions. Developing a cognitive ontology could link brain structure to function, unifying cognitive and anatomical models.

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Microdissection of Mouse Brain into Functionally and Anatomically Different Regions

Microdissection of Mouse Brain into Functionally and Anatomically Different Regions

Published on: February 15, 2021

Related Experiment Videos

Last Updated: Jun 7, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Microdissection of Mouse Brain into Functionally and Anatomically Different Regions

Microdissection of Mouse Brain into Functionally and Anatomically Different Regions

Published on: February 15, 2021

Area of Science:

Neuroscience
Cognitive Science
Computational Neuroscience

Background:

Traditional cognitive models rely on behavioral studies.
Functional imaging reveals overlapping neural systems, challenging classical models.
Neuronal structures may support multiple functions based on network interactions.

Purpose of the Study:

To propose a framework for integrating cognitive and anatomical models.
To develop a systematic ontology for cognition.
To re-describe tasks based on activated brain area functions.

Main Methods:

Analysis of functional imaging data.
Review of behavioral studies in normal and impaired subjects.
Development of cognitive and anatomical models for reading and object recognition.

Main Results:

Functional imaging data show significant overlap in neural activation for tasks without shared cognitive components.
A fixed anatomical connectivity limits the range of functions a neuronal structure can perform.
The proposed ontology aims to align cognitive functions with specific neural structures.

Conclusions:

A systematic ontology is crucial for bridging cognitive and anatomical understanding.
Function should predict neural structure, and vice versa.
This approach facilitates a unified framework for diverse cognitive tasks.