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

Understanding Consciousness01:23

Understanding Consciousness

888
Consciousness can be defined as the state of being aware of and able to think about one's existence, sensations, and surroundings. It encompasses two major components: awareness and arousal. Awareness pertains to the recognition of environmental stimuli and internal states. At the same time, arousal refers to the physiological readiness to engage with these stimuli, which varies significantly between states like sleep and wakefulness.
Sleep, a crucial state, is characterized by reduced...
888
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

1.9K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
1.9K
Subconsciousness and No Awareness01:15

Subconsciousness and No Awareness

449
The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
449
Concepts and Prototypes01:24

Concepts and Prototypes

289
The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
289
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

483
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
483
Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

217
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
217

You might also read

Related Articles

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

Sort by
Same journal

Perceptual learning without feedback is accompanied with systematic changes in confidence processing.

Neuroscience of consciousness·2026
Same journal

I sync, therefore I am: brain-body synchrony in typical and disordered consciousness.

Neuroscience of consciousness·2026
Same journal

The Rhythmic Embodied Perception Framework of breath, brain, and perception.

Neuroscience of consciousness·2026
Same journal

Temporal recalibration in schizophrenia: a compensatory timing trap?

Neuroscience of consciousness·2026
Same journal

Aidification of the self: a phenomenological approach to machine consciousness through human-robot 'between-ness'.

Neuroscience of consciousness·2026
Same journal

Confidence in naturalistic decision making.

Neuroscience of consciousness·2026
See all related articles

Related Experiment Video

Updated: Nov 1, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.9K

Apophatic science: how computational modeling can explain consciousness.

Will Bridewell1, Alistair M C Isaac2

  • 1Navy Center for Applied Research in Artificial Intelligence, U.S. Naval Research Laboratory, 4555 Overlook Ave SW, Washington, DC 20375, USA.

Neuroscience of Consciousness
|June 18, 2021
PubMed
Summary
This summary is machine-generated.

This study presents a new method for consciousness science, using computational models as negative data to study subjective experience empirically. This approach enables a quantitative science of consciousness without metaphysical assumptions.

Keywords:
computationalismconsciousnessevidencefunctionalismmethodologymodeling

More Related Videos

Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.1K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.5K

Related Experiment Videos

Last Updated: Nov 1, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.9K
Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.1K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.5K

Area of Science:

  • Cognitive Science
  • Philosophy of Mind
  • Computational Neuroscience

Background:

  • Consciousness is inherently subjective, posing a challenge for empirical scientific investigation.
  • Existing scientific data on consciousness are intersubjective, creating a gap between subjective experience and objective measurement.
  • Integrating findings across cognitive sciences requires a common framework.

Purpose of the Study:

  • To introduce a novel methodology for the empirical investigation of consciousness.
  • To bridge the gap between subjective conscious experience and intersubjective scientific data.
  • To develop a quantitative science of consciousness that avoids metaphysical commitments.

Main Methods:

  • Utilizing computational models as a lingua franca for integrative cognitive science.
  • Employing a new model validation technique that treats computational models as negative data on consciousness.
  • Defining negative data as information about what consciousness is not.

Main Results:

  • A novel methodology for consciousness science is proposed.
  • Computational models are validated as providing negative data, facilitating empirical study.
  • The approach supports quantitative analysis of consciousness.

Conclusions:

  • The proposed methodology offers a robust framework for advancing consciousness science.
  • This approach enables empirical investigation of subjective phenomena without metaphysical entanglements.
  • The method is applicable to current and future research in the field.