Consciousness: Key Properties and Functions

In its modern interpretation, mindfulness is closely linked to the fact that information is not simply processed by sensory systems but becomes accessible for flexible behavior: comparing options, maintaining a goal, changing a plan, and explaining a choice. In reviews of the neuroscience of consciousness, this moment is often described as a transition from local processing to "broad access" across the brain, when the signal is maintained and strengthened through feedback. [1]

Attention and consciousness overlap, but are not identical. Attention can be thought of as a selection mechanism: it increases the likelihood that a desired signal will become dominant, but it does not in itself guarantee subjective experience, especially if the stimulus is weak or overwhelmed by a competing signal. Therefore, consciousness studies often construct conditions where attention is roughly equal but awareness differs, or vice versa. [2]

Table 1. Convenient “working” levels of description of consciousness

Component	What does it mean in simple words?	How is this usually checked?	Examples of brain systems that are often discussed
Wakefulness	the ability to be “on”	response to stimuli, maintaining attention	corticothalamic interactions [3]
Contents of consciousness	what exactly is “experienced”	tasks with conscious and unconscious perception	distributed cortical networks [4]
Informed access	information becomes available for reporting and control	reports, decisions, working memory	global access mechanisms [5]
Self-awareness	awareness of oneself as a subject	self-reference tasks, autobiographical memory	default mode network, medial prefrontal cortex [6]
Metacognition	assessment of the quality of one's own knowledge and confidence	"how confident" after the decision	frontal and island monitoring systems [7]

Volitional control and executive control rely on the ability to maintain a goal and suppress automatic reactions. This part of "conscious" functions is particularly noticeable in tasks that require stopping a habitual response, switching gears, or evaluating consequences. Modern models associate this regulation with the coordination of multiple networks, rather than a single "location" in the brain. [8]

Metacognition adds another layer: it evaluates not only the object or task, but also the quality of one's own knowledge. Research on certainty and uncertainty shows that metacognition has psychological and neural mechanisms and influences learning, decision-making, and resilience to error. This is important for "properties of consciousness" because self-observation and self-correction are a practical part of self-awareness. [9]

Table 2. Properties of consciousness and the practical meaning of each property

Property	What does it give in life?	How it manifests itself during overload or stress	What is most often studied in experiments?
Informed access	flexible planning and explanation of choice	tunnel vision, control errors	reports, working memory [10]
Attention	selection of important information	distractibility or “stickiness”	problems of selection and competition of incentives [11]
Executive control	impulse inhibition, switching	impulsiveness, rigidity	stopping reaction and switching tasks [12]
Metacognition	confidence and error assessment	overestimating or underestimating one's decisions	confidence scales, confidence calibration [13]
Self-awareness	understanding oneself and one's values	rupture of the “self-image”, internal conflicts	self-reference, autobiographical memory [14]

How consciousness “reflects” the properties of objects: from sensations to meaning

What appears to be a simple perception of color, shape, and texture is in fact a multi-stage reconstruction. Sensory signals are incomplete and noisy, so the brain constantly uses context and expectations to "complete" an object into a stable image. Recent reviews show that object and scene recognition is highly dependent on experience-based predictions. [15]

"Reflecting" an object's external properties typically begins with basic features but quickly moves to connections and meaning: what kind of object is it, what is its purpose, how to interact with it, whether it is dangerous, whether it is familiar. At the brain level, this corresponds to the integration of information between sensory areas and memory and salience systems, especially when the object is embedded in a real scene. [16]

An important contemporary emphasis: perception is not a purely bottom-up process "from eyes to meaning." Rather, a hypothesis about what is happening is formed, then refined based on prediction errors. This is why the same object can be perceived differently with different expectations, emotions, motivations, and attention levels. [17]

Finally, the "abstract properties" of an object, such as value, symbolic significance, and emotional coloring, often turn out to be not a separate superstructure, but part of a unified perception. For consciousness, this means that the subjective experience of an object includes not only "what it looks like," but also "what it means" for the goals and biography of a particular person. [18]

Table 3. Levels of reflection of properties of objects

Level	What is “read”	What has more influence?	Typical result
Sensory	color, contrast, lines, textures	lighting, noise, attention	primary image [19]
Integrative	shape, size, three-dimensionality, movement	context of the scene, expectations	stable recognition [20]
Categorical	"What is this thing?"	experience, training, language	name and category [21]
Functional	"What to do about it?"	goals, habits	action plan [22]
Value and emotional	usefulness, danger, symbolism	motivation, memory, social meaning	decision and experience [23]

Reflecting People's Appearance: Why Faces, Emotions, and Stereotypes Are "Read" Differently Than Objects

Human perception is structured in a unique way because the brain needs to quickly assess the intentions and emotional state of others. Modern research on social perception describes a distributed network processing faces, gaze, movements, and emotional cues that works in conjunction with attention and memory systems. [24]

The face is one of the most informative stimuli: it can reveal identity, age, emotions, gaze direction, and sometimes even probable intentions. But this "speed" comes at a price: some assessments occur automatically and can be biased by expectations, cultural norms, and past experience. Therefore, first impressions are often confident, but not always accurate. [25]

Stereotypes in social perception can be understood as cognitive "templates" that speed up the prediction of others' behavior but create the risk of errors and bias. Importantly, stereotyping is not simply a matter of "bad character," but is often a product of the rapid heuristics of attention and memory. The greater the stress and cognitive load, the more the brain relies on simple templates. [26]

Self-perception is closely linked to how others are perceived. The default mode network is associated with self-reference, internal dialogue, autobiographical memory, and social cognition, making it important for understanding self-awareness and self-esteem. Contemporary reviews emphasize that self-awareness is multidimensional and includes self-monitoring, evaluation, and behavioral regulation. [27]

Table 4. Social reflection: processes and typical errors

Process	What does it give?	Where mistakes are made most often	What helps accuracy
Facial recognition	identity and familiarity	poor lighting, similar faces	context and re-encounters [28]
Reading emotions	quick reaction forecast	neutral expressions, cultural differences	clarifying signals, speech, situation [29]
Assessment of intentions	security and cooperation	stress, lack of information	slowing down the decision, testing hypotheses [30]
Forming an impression	social navigation	"first impression effect"	fact-finding and feedback [31]
Self-perception	self-esteem and identity	internal distortions during anxiety	metacognitive skills and environmental support [32]

How consciousness is studied today: theories, experiments, and practical implications

Modern consciousness science relies on operational definitions: comparing conditions where a stimulus is processed but not consciously perceived with conditions where it becomes part of subjective experience. This makes it possible to search for neural correlates of consciousness and test which processes are truly necessary for conscious experience. [33]

Among the most discussed neural theories are the global neural workspace and integrated information. These approaches differ in which structures and dynamics are considered key to consciousness and where critical activity is “localized.” Reviews emphasize that each theory explains some observations, but neither covers the entire spectrum of phenomena. [34]

An important advance in recent years has been direct comparisons of theories in adversarial collaborations. A publication in Nature 2025 describes a large consortium experiment specifically designed to distinguish between predictions of the global neural workspace and integrated information. The result is not simply a "one theory wins," but provides a more rigorous map of which predictions are confirmed and which require revision. [35]

The clinical value of such studies is that they improve methods for assessing consciousness during anesthesia and disorders of consciousness, and help develop more reliable "markers" of brain state. The better understood the mechanisms of maintaining and sustaining consciousness, the more accurately we can interpret behavior, neuroimaging, and electroencephalographic data in patients who are unable to communicate. [36]

Table 5. The main tools for studying consciousness and what they allow us to understand

Method	What does it measure?	Strong point	Limitation
Behavioral paradigms of conscious and unconscious perception	reports and decisions	direct access to experience	depends on the ability to communicate [37]
Electroencephalography	temporal dynamics of activity	high temporal accuracy	difficulty in localizing sources [38]
Functional magnetic resonance imaging	spatial networks	good network map	indirect signal, delay [39]
Paradigms with competing incentives	separation of attention and awareness	strict comparisons of conditions	interpretation depends on design [40]
Consortium adversarial tests of theories	testing the predictions of theories	reduces the risk of confirming the “favorite” hypothesis	expensive and methodologically difficult [41]