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Short description: Act or process of knowing

A cognitive model illustrated by Robert Fludd
A cognitive model, as illustrated by Robert Fludd (1619)[1]

Cognition is the "mental action or process of acquiring knowledge and understanding through thought, experience, and the senses".[2] It encompasses all aspects of intellectual functions and processes such as: perception, attention, thought, imagination, intelligence, the formation of knowledge, memory and working memory, judgment and evaluation, reasoning and computation, problem-solving and decision-making, comprehension and production of language. Cognitive processes use existing knowledge and discover new knowledge.

Cognitive processes are analyzed from different perspectives within different contexts, notably in the fields of linguistics, musicology, anesthesia, neuroscience, psychiatry, psychology, education, philosophy, anthropology, biology, systemics, logic, and computer science.[3] These and other approaches to the analysis of cognition (such as embodied cognition) are synthesized in the developing field of cognitive science, a progressively autonomous academic discipline.


The word cognition dates back to the 15th century, where it meant "thinking and awareness".[4] The term comes from the Latin noun cognitio ('examination', 'learning', or 'knowledge'), derived from the verb cognosco, a compound of con ('with') and gnōscō ('know'). The latter half, gnōscō, itself is a cognate of a Greek verb, Ancient Greek: (Ancient Greek:).[5][6]

Early studies

Despite the word cognitive itself dating back to the 15th century,[4] attention to cognitive processes came about more than eighteen centuries earlier, beginning with Aristotle (384–322 BC) and his interest in the inner workings of the mind and how they affect the human experience. Aristotle focused on cognitive areas pertaining to memory, perception, and mental imagery. He placed great importance on ensuring that his studies were based on empirical evidence, that is, scientific information that is gathered through observation and conscientious experimentation.[7] Two millennia later, the groundwork for modern concepts of cognition was laid during the Enlightenment by thinkers such as John Locke and Dugald Stewart who sought to develop a model of the mind in which ideas were acquired, remembered and manipulated.[8]

During the early nineteenth century cognitive models were developed both in philosophy—particularly by authors writing about the philosophy of mind—and within medicine, especially by physicians seeking to understand how to cure madness. In England , these models were studied in the academy by scholars such as James Sully at University College London, and they were even used by politicians when considering the national Elementary Education Act of 1870.[9]

As psychology emerged as a burgeoning field of study in Europe, whilst also gaining a following in United States , scientists such as Wilhelm Wundt, Herman Ebbinghaus, Mary Whiton Calkins, and William James would offer their contributions to the study of human cognition.

Early theorists

Wilhelm Wundt (1832–1920) emphasized the notion of what he called introspection: examining the inner feelings of an individual. With introspection, the subject had to be careful to describe their feelings in the most objective manner possible in order for Wundt to find the information scientific.[10][11] Though Wundt's contributions are by no means minimal, modern psychologists find his methods to be too subjective and choose to rely on more objective procedures of experimentation to make conclusions about the human cognitive process.

Hermann Ebbinghaus (1850–1909) conducted cognitive studies that mainly examined the function and capacity of human memory. Ebbinghaus developed his own experiment in which he constructed over 2,000 syllables made out of nonexistent words (for instance, 'EAS'). He then examined his own personal ability to learn these non-words. He purposely chose non-words as opposed to real words to control for the influence of pre-existing experience on what the words might symbolize, thus enabling easier recollection of them.[10][12] Ebbinghaus observed and hypothesized a number of variables that may have affected his ability to learn and recall the non-words he created. One of the reasons, he concluded, was the amount of time between the presentation of the list of stimuli and the recitation or recall of the same. Ebbinghaus was the first to record and plot a "learning curve" and a "forgetting curve".[13] His work heavily influenced the study of serial position and its effect on memory (discussed further below).

Mary Whiton Calkins (1863–1930) was an influential American pioneer in the realm of psychology. Her work also focused on human memory capacity. A common theory, called the recency effect, can be attributed to the studies that she conducted.[14] The recency effect, also discussed in the subsequent experiment section, is the tendency for individuals to be able to accurately recollect the final items presented in a sequence of stimuli. Calkin's theory is closely related to the aforementioned study and conclusion of the memory experiments conducted by Hermann Ebbinghaus.[15]

William James (1842–1910) is another pivotal figure in the history of cognitive science. James was quite discontent with Wundt's emphasis on introspection and Ebbinghaus' use of nonsense stimuli. He instead chose to focus on the human learning experience in everyday life and its importance to the study of cognition. James' most significant contribution to the study and theory of cognition was his textbook Principles of Psychology which preliminarily examines aspects of cognition such as perception, memory, reasoning, and attention.[15]

René Descartes (1596–1650) was a seventeenth-century philosopher who came up with the phrase "Cogito, ergo sum", which means "I think, therefore I am." He took a philosophical approach to the study of cognition and the mind, with his Meditations he wanted people to meditate along with him to come to the same conclusions as he did but in their own free cognition.[16]


When the mind makes a generalization such as the concept of tree, it extracts similarities from numerous examples; the simplification enables higher-level thinking (abstract thinking).
See also: Cognitivism (psychology)

In psychology, the term "cognition" is usually used within an information processing view of an individual's psychological functions,[17] and such is the same in cognitive engineering.[18] In the study of social cognition, a branch of social psychology, the term is used to explain attitudes, attribution, and group dynamics.[17] However, psychological research within the field of cognitive science has also suggested an embodied approach to understanding cognition. Contrary to the traditional computationalist approach, embodied cognition emphasizes the body's significant role in the acquisition and development of cognitive capabilities.[19][20]

Human cognition is conscious and unconscious, concrete or abstract, as well as intuitive (like knowledge of a language) and conceptual (like a model of a language). It encompasses processes such as memory, association, concept formation, pattern recognition, language, attention, perception, action, problem solving, and mental imagery.[21][22] Traditionally, emotion was not thought of as a cognitive process, but now much research is being undertaken to examine the cognitive psychology of emotion; research is also focused on one's awareness of one's own strategies and methods of cognition, which is called metacognition. The concept of cognition has gone through several revisions through the development of disciplines within psychology.

Psychologists initially understood cognition governing human action as information processing. This was a movement known as cognitivism in the 1950s, emerging after the Behaviorist movement viewed cognition as a form of behavior.[23] Cognitivism approached cognition as a form of computation, viewing the mind as a machine and consciousness as an executive function.[19] However; post cognitivism began to emerge in the 1990s as the development of cognitive science presented theories that highlighted the necessity of cognitive action as embodied, extended, and producing dynamic processes in the mind.[24] The development of Cognitive psychology arose as psychology from different theories, and so began exploring these dynamics concerning mind and environment, starting a movement from these prior dualist paradigms that prioritized cognition as systematic computation or exclusively behavior.[19]

Piaget's theory of cognitive development

Main page: Piaget's theory of cognitive development

For years, sociologists and psychologists have conducted studies on cognitive development, i.e. the construction of human thought or mental processes.

Jean Piaget was one of the most important and influential people in the field of developmental psychology. He believed that humans are unique in comparison to animals because we have the capacity to do "abstract symbolic reasoning". His work can be compared to Lev Vygotsky, Sigmund Freud, and Erik Erikson who were also great contributors in the field of developmental psychology. Piaget is known for studying the cognitive development in children, having studied his own three children and their intellectual development, from which he would come to a theory of cognitive development that describes the developmental stages of childhood.[25]

Stage Age or Period Description[26]
Sensorimotor stage Infancy (0–2 years) Intelligence is present; motor activity but no symbols; knowledge is developing yet limited; knowledge is based on experiences/ interactions; mobility allows the child to learn new things; some language skills are developed at the end of this stage. The goal is to develop object permanence, achieving a basic understanding of causality, time, and space.
Preoperational stage Toddler and Early Childhood (2–7 years) Symbols or language skills are present; memory and imagination are developed; non-reversible and non-logical thinking; shows intuitive problem solving; begins to perceive relationships; grasps the concept of conservation of numbers; predominantly egocentric thinking.
Concrete operational stage Elementary and Early Adolescence (7–12 years) Logical and systematic form of intelligence; manipulation of symbols related to concrete objects; thinking is now characterized by reversibility and the ability to take the role of another; grasps concepts of the conservation of mass, length, weight, and volume; predominantly operational thinking; nonreversible and egocentric thinking
Formal operational stage Adolescence and Adulthood (12 years and on) Logical use of symbols related to abstract concepts; Acquires flexibility in thinking as well as the capacities for abstract thinking and mental hypothesis testing; can consider possible alternatives in complex reasoning and problem-solving.

Beginning of cognition

Studies on cognitive development have also been conducted in children beginning from the embryonal period to understand when cognition appears and what environmental attributes stimulate the construction of human thought or mental processes. Research shows the intentional engagement of fetuses with the environment, demonstrating cognitive achievements.[27] However, organisms with simple reflexes cannot cognize the environment alone because the environment is the cacophony of stimuli (electromagnetic waves, chemical interactions, and pressure fluctuations).[28] Their sensation is too limited by the noise to solve the cue problem–the relevant stimulus cannot overcome the noise magnitude if it passes through the senses (see the binding problem). Fetuses need external help to stimulate their nervous system in choosing the relevant sensory stimulus for grasping the perception of objects.[29] The Shared intentionality approach proposes a plausible explanation of perception development in this earlier stage. Initially, Michael Tomasello introduced the psychological construct of Shared intentionality, highlighting its contribution to cognitive development from birth.[30] This primary interaction provides unaware collaboration in mother-child dyads for environmental learning. Later, Igor Val Danilov developed this notion, expanding it to the intrauterine period and clarifying the neurophysiological processes underlying Shared intentionality.[31] According to the Shared intentionality approach, the mother shares the essential sensory stimulus of the actual cognitive problem with the child.[32] By sharing this stimulus, the mother provides a template for developing the young organism's nervous system.[33]

Recent findings in research on child cognitive development [29][31][34][35][36][37][38][39][40] and advances in inter-brain neuroscience experiments[41][42][43][44][45] have made the above proposition plausible. Based on them, the shared intentionality hypothesis introduced the notion of pre-perceptual communication in the mother-fetus communication model due to nonlocal neuronal coupling.[27][31][33] This nonlocal coupling model refers to communication between two organisms through the copying of the adequate ecological dynamics by biological systems indwelling one environmental context, where a naive actor (Fetus) replicates information from an experienced actor (Mother) due to intrinsic processes of these dynamic systems (embodied information) but without interacting through sensory signals.[27][31][33] The Mother's heartbeats (a low-frequency oscillator) modulate relevant local neuronal networks in specific subsystems of both her and the nervous system of the fetus due to the effect of the interference of the low-frequency oscillator (Mother heartbeats) and already exhibited gamma activity in these neuronal networks (interference in physics is the combination of two or more electromagnetic waveforms to form a resultant wave).[27][31][33] Therefore, the subliminal perception in a fetus emerges due to Shared intentionality with the mother that stimulates cognition in this organism even before birth.[27][31][33]

Another crucial question in understanding the beginning of cognition is memory storage about the relevant ecological dynamics by the naive nervous system (i.e., memorizing the ecological condition of relevant sensory stimulus) at the molecular level – an engram. Evidence derived using optical imaging, molecular-genetic and optogenetic techniques in conjunction with appropriate behavioural analyses continues to offer support for the idea that changing the strength of connections between neurons is one of the major mechanisms by which engrams are stored in the brain.[46] A huge amount of research is underway in trying to understand the undelying chemical processes of thought formation, storage, memory consolidation and formation of logical thought processes leading to cognition. Atta-ur-Rahman FRS first proposed in 2001 that this could occur by the folding of glycoproteins through intermolecular or intramolecular hydrogen bonding between hydroxyl grouls present on the sugar moities. This would result in the formation of partly folded patterns for memory storage [47]. The hydrogen bonding protein patterns hypothesis (HBPPH) conceived the formation of hydrogen bonds between hydroxyl groups of sugar moieties present in the glycoproteins with hydroxyl (or NH) groups of other sugar moieties and/or biomolecules leading to the formation of certain partly folded protein patterns. This offered a viable mechanism by which the brain may be able to store short term and long term memories by the construction of intermolecular and intramolecular networks of folded glycoproteins and be the chemical basis of cognition [48][49][50]. Evidence in support partly folded proteins being involved in cognition processes has recently come from researches in the field [51].Cognition can result from the correlation of such patterns.[citation needed] Two possible mechanisms through which such partly folded protein patterns may overlap and interact leading to logical thought and to cognitions can involve either quantum effects[52][53][54][better source needed] or by an overlap of molecular vibrations arising through the interactions of these patterns [55][better source needed]. The Nobel Laureate Roger Penrose and others have also supported the idea that quantum oscillations could be involved in the process of cognition and consciousness [56][57][58][59][better source needed].

Cognition may encompass different mechanisms of neuronal coupling, even involving all these mechanisms simultaneously. While all the above-noted hypotheses (concerning the process of cognition and consciousness due to quantum effects, molecular vibrations, etc.) are plausible, this section about the beginning of cognition only concentrates on the hypotheses that account for two essential problems for the beginner in cognising: choosing the relevant cue and memorizing the relevant ecological dynamics. Therefore, the shared intentionality hypothesis[27][31][33] (by Professor Igor Val Danilov) and the hydrogen bonding protein patterns hypothesis[47] (by Professor Atta-ur-Rahman) are currently explained in this section.

Common types of tests on human cognition

Serial position

The serial position experiment is meant to test a theory of memory that states that when information is given in a serial manner, we tend to remember information at the beginning of the sequence, called the primacy effect, and information at the end of the sequence, called the recency effect. Consequently, information given in the middle of the sequence is typically forgotten, or not recalled as easily. This study predicts that the recency effect is stronger than the primacy effect, because the information that is most recently learned is still in working memory when asked to be recalled. Information that is learned first still has to go through a retrieval process. This experiment focuses on human memory processes.[60]

Word superiority

The word superiority experiment presents a subject with a word, or a letter by itself, for a brief period of time, i.e. 40 ms, and they are then asked to recall the letter that was in a particular location in the word. In theory, the subject should be better able to correctly recall the letter when it was presented in a word than when it was presented in isolation. This experiment focuses on human speech and language.[61]


In the Brown–Peterson experiment, participants are briefly presented with a trigram and in one particular version of the experiment, they are then given a distractor task, asking them to identify whether a sequence of words is in fact words, or non-words (due to being misspelled, etc.). After the distractor task, they are asked to recall the trigram from before the distractor task. In theory, the longer the distractor task, the harder it will be for participants to correctly recall the trigram. This experiment focuses on human short-term memory.[62]

Memory span

During the memory span experiment, each subject is presented with a sequence of stimuli of the same kind; words depicting objects, numbers, letters that sound similar, and letters that sound dissimilar. After being presented with the stimuli, the subject is asked to recall the sequence of stimuli that they were given in the exact order in which it was given. In one particular version of the experiment, if the subject recalled a list correctly, the list length was increased by one for that type of material, and vice versa if it was recalled incorrectly. The theory is that people have a memory span of about seven items for numbers, the same for letters that sound dissimilar and short words. The memory span is projected to be shorter with letters that sound similar and with longer words.[63]

Visual search

In one version of the visual search experiment, a participant is presented with a window that displays circles and squares scattered across it. The participant is to identify whether there is a green circle on the window. In the featured search, the subject is presented with several trial windows that have blue squares or circles and one green circle or no green circle in it at all. In the conjunctive search, the subject is presented with trial windows that have blue circles or green squares and a present or absent green circle whose presence the participant is asked to identify. What is expected is that in the feature searches, reaction time, that is the time it takes for a participant to identify whether a green circle is present or not, should not change as the number of distractors increases. Conjunctive searches where the target is absent should have a longer reaction time than the conjunctive searches where the target is present. The theory is that in feature searches, it is easy to spot the target, or if it is absent, because of the difference in color between the target and the distractors. In conjunctive searches where the target is absent, reaction time increases because the subject has to look at each shape to determine whether it is the target or not because some of the distractors if not all of them, are the same color as the target stimuli. Conjunctive searches where the target is present take less time because if the target is found, the search between each shape stops.[64]

Knowledge representation

The semantic network of knowledge representation systems have been studied in various paradigms. One of the oldest paradigms is the leveling and sharpening of stories as they are repeated from memory studied by Bartlett. The semantic differential used factor analysis to determine the main meanings of words, finding that value or "goodness" of words is the first factor. More controlled experiments examine the categorical relationships of words in free recall. The hierarchical structure of words has been explicitly mapped in George Miller's Wordnet. More dynamic models of semantic networks have been created and tested with neural network experiments based on computational systems such as latent semantic analysis (LSA), Bayesian analysis, and multidimensional factor analysis. The semantics (meaning) of words is studied by all the disciplines of cognitive science.[65]


Improving cognition

Main page: Chemistry:Nootropic

Physical exercise

Aerobic and anaerobic exercise have been studied concerning cognitive improvement.[66] There appear to be short-term increases in attention span, verbal and visual memory in some studies. However, the effects are transient and diminish over time, after cessation of the physical activity.[67] People with Parkinson's disease has also seen improved cognition while cycling, while pairing it with other cognitive tasks.[68]

Dietary supplements

Studies evaluating phytoestrogen, blueberry supplementation and antioxidants showed minor increases in cognitive function after supplementation but no significant effects compared to placebo.[69][70][71] Another study on the effects of herbal and dietary supplements on cognition in menopause show that soy and Ginkgo biloba supplementation could improve women's cognition.[72]

Pleasurable social stimulation

Exposing individuals with cognitive impairment (i.e., Dementia) to daily activities designed to stimulate thinking and memory in a social setting, seems to improve cognition. Although study materials are small, and larger studies need to confirm the results, the effect of social cognitive stimulation seems to be larger than the effects of some drug treatments.[73]

Other methods

Transcranial magnetic stimulation (TMS) has been shown to improve cognition in individuals without dementia 1 month after treatment session compared to before treatment. The effect was not significantly larger compared to placebo.[74] Computerized cognitive training, utilizing a computer based training regime for different cognitive functions has been examined in a clinical setting but no lasting effects has been shown.[75]

See also


  1. Fludd, Robert. "De tripl. animae in corp. vision". Tract. I, sect. I, lib. X in Utriusque cosmi maioris scilicet et minoris metaphysica, physica atqve technica historia, vol. II. p. 217.
  2. "Cognition". Oxford University Press and 
  3. Von Eckardt, Barbara (1996). What is cognitive science?. Princeton, MA: MIT Press. pp. 45–72. ISBN 9780262720236. 
  4. 4.0 4.1 Cognition: Theory and Practice. 
  5. "γιγνώσκω". A Greek-English Lexicon. Oxford: Clarendon Press. 1940. 
  6. "On The Historical Dynamics Of Cognitive Science: A View From The Periphery.". The Search for a Theory of Cognition: Early Mechanisms and New Ideas. Amsterdam: Rodopi. 2011. p. XIV. 
  7. Matlin, Margaret (2009). Cognition. Hoboken, NJ: John Wiley & Sons, Inc.. p. 4. 
  8. Eddy, Matthew Daniel. "The Cognitive Unity of Calvinist Pedagogy in Enlightenment Scotland". Ábrahám Kovács (Ed.), Reformed Churches Working Unity in Diversity: Global Historical, Theological and Ethical Perspectives (Budapest: l'Harmattan, 2016): 46–60. 
  9. "The politics of cognition: liberalism and the evolutionary origins of Victorian education". British Journal for the History of Science 50 (4): 677–699. December 2017. doi:10.1017/S0007087417000863. PMID 29019300. 
  10. 10.0 10.1 "Psychology as a science". Handbook of Psychology 1 (The history of psychology): 1–26. 2003. doi:10.1002/0471264385.wei0101. ISBN 0471264385. 
  11. The Oxford companion to the mind. New York: Oxford University Press. 2004. pp. 951–952. 
  12. The Oxford companion to the mind. New York: Oxford University Press. 2004. p. 276. 
  13. ""Memory." Unit 7". Psychology: A Student Friendly Approach. 2008. p. 126. 
  14. "Short-term memory at the turn of the century: Mary Whiton Calkin's memory research". American Psychologist 47 (2): 170–174. 1992. doi:10.1037/0003-066X.47.2.170. 
  15. 15.0 15.1 Matlin, Margaret (2009). Cognition. Hoboken, NJ: John Wiley & Sons, Inc.. p. 5. 
  16. "René Descartes". 
  17. 17.0 17.1 Cognitive Psychology (6th ed.). Belmont, CA: Wadsworth Cengage Learning. 2009. 
  18. "Concepts of cognition for cognitive engineering". International Journal of Aviation Psychology 21 (1): 85–104. 2011. doi:10.1080/10508414.2011.537561. 
  19. 19.0 19.1 19.2 Paco Calvo, ed (2008). Handbook of cognitive science: an embodied approach. Amsterdam: Elsevier Science. ISBN 978-0-08-091487-9. OCLC 318353781. 
  20. Lakoff, George (2012). "Explaining Embodied Cognition Results". Topics in Cognitive Science 4 (4): 773–785. doi:10.1111/j.1756-8765.2012.01222.x. ISSN 1756-8757. PMID 22961950. 
  21. Coren, Stanley, Lawrence M. Ward, and James T. Enns. 1999. Sensation and Perception (5th ed.). Harcourt Brace. ISBN:978-0-470-00226-1. p. 9.
  22. Cognitive Psychology (5th ed.). 1999. pp. 15–17. 
  23. Pyszczynski, Tom; Greenberg, Jeff; Koole, Sander; Solomon, Sheldon (2010-06-30). Fiske, Susan T.; Gilbert, Daniel T.; Lindzey, Gardner. eds (in en). Handbook of Social Psychology. Hoboken, NJ: John Wiley & Sons. pp. socpsy001020. doi:10.1002/9780470561119.socpsy001020. ISBN 978-0-470-56111-9. 
  24. Zelazo, Philip David; Moscovitch, Morris; Thompson, Evan, eds (2007). The Cambridge Handbook of Consciousness. doi:10.1017/cbo9780511816789. ISBN 9780511816789. 
  25. Cherry, Kendra. "Jean Piaget Biography". The New York Times Company. 
  26. Child Psychology: A Contemporary Viewpoint (7th ed.). Boston: McGraw-Hill. 2009. 
  27. 27.0 27.1 27.2 27.3 27.4 27.5 Val Danilov, Igor (2023). "Shared Intentionality Modulation at the Cell Level: Low-Frequency Oscillations for Temporal Coordination in Bioengineering Systems" (in en). OBM Neurobiology 7 (4): 1–17. doi:10.21926/obm.neurobiol.2304185. 
  28. Val Danilov I. (2022). "Smartphone in Detecting Developmental Disability in Infancy: A Theoretical Approach to Shared Intentionality for Assessment Tool of Cognitive Decline and e-Learning". K. Arai (Ed.): Proceedings of the SAI 2022, LNNS 508, pp. 1–11, 2022. Springer Nature Switzerland AG 2022, doi:10.1007/978-3-031-10467-1_19.
  29. 29.0 29.1 Val Danilov, Igor; Mihailova, Sandra (2022). "A New Perspective on Assessing Cognition in Children through Estimating Shared Intentionality" (in en). Journal of Intelligence 10 (2): 21. doi:10.3390/jintelligence10020021. ISSN 2079-3200. PMID 35466234. 
  30. Tomasello, M. Becoming Human: A Theory of Ontogeny. Cambridge, Massachusetts: Harvard University Press; 2019.
  31. 31.0 31.1 31.2 31.3 31.4 31.5 31.6 Val Danilov I. (2023). "Theoretical Grounds of Shared Intentionality for Neuroscience in Developing Bioengineering Systems". OBM Neurobiology 2023; 7(1): 156; doi:10.21926/obm.neurobiol.2301156
  32. Val Danilov Igor, Mihailova Sandra. (2021). "Neuronal Coherence Agent for Shared Intentionality: A Hypothesis of Neurobiological Processes Occurring during Social Interaction". OBM Neurobiology 2021;5(4):26; doi:10.21926/obm.neurobiol.2104113.
  33. 33.0 33.1 33.2 33.3 33.4 33.5 Val Danilov, Igor (2023). "Low-Frequency Oscillations for Nonlocal Neuronal Coupling in Shared Intentionality Before and After Birth: Toward the Origin of Perception" (in en). OBM Neurobiology 7 (4): 1–17. doi:10.21926/obm.neurobiol.2304192. 
  34. Castiello, U.; Becchio, C.; Zoia, S.; Nelini, C.; Sartori, L.; Blason, L.; D'Ottavio, G.; Bulgheroni, M.; Gallese, V. (2010). "Wired to be social: the ontogeny of human interaction." PloS one, 5(10), p.e13199.
  35. Kisilevsky, B.C. (2016). "Fetal Auditory Processing: Implications for Language Development? Fetal Development." Research on Brain and Behavior, Environmental In uences, and Emerging Technologies,: 133-152.
  36. Lee, G.Y.C.; Kisilevsky, B.S. (2014). "Fetuses respond to father’s voice but prefer mother’s voice after birth." Developmental Psychobiology, 56: 1-11.
  37. Hepper, P.G.; Scott, D.; Shahidullah, S. (1993). "Newborn and fetal response to maternal voice." Journal of Reproductive and Infant Psychology, 11: 147-153.
  38. Lecanuet, J.P.; Granier‐Deferre, C.; Jacquet, A.Y.; Capponi, I.; Ledru, L. (1993). "Prenatal discrimination of a male and a female voice uttering the same sentence." Early development and parenting, 2(4): 217-228.
  39. Hepper P. (2015). "Behavior during the prenatal period: Adaptive for development and survival." Child Development Perspectives, 9(1): 38-43. DOI: 10.1111/cdep.12104.
  40. Jardri, R.; Houfflin-Debarge, V.; Delion, P.; Pruvo, J-P.; Thomas, P.; Pins, D. (2012). "Assessing fetal response to maternal speech using a noninvasive functional brain imaging technique." International Journal of Developmental Neuroscience, 2012, 30: 159–161. doi:10.1016/j.ijdevneu.2011.11.002.
  41. "Shared intentionality modulates interpersonal neural synchronization at the establishment of communication system". Communications Biology 6 (1): 832. August 2023. doi:10.1038/s42003-023-05197-z. PMID 37563301. 
  42. "Joint control of visually guided actions involves concordant increases in behavioural and neural coupling". Communications Biology 4 (1): 816. June 2021. doi:10.1038/s42003-021-02319-3. PMID 34188170. 
  43. "Inter-brain synchrony and cooperation context in interactive decision making". Biological Psychology 133: 54–62. March 2018. doi:10.1016/j.biopsycho.2017.12.005. PMID 29292232. 
  44. "Putting our heads together: interpersonal neural synchronization as a biological mechanism for shared intentionality". Social Cognitive and Affective Neuroscience 13 (8): 841–849. September 2018. doi:10.1093/scan/nsy060. PMID 30060130. 
  45. "Teams on the same wavelength perform better: Inter-brain phase synchronization constitutes a neural substrate for social facilitation". NeuroImage 152: 425–436. May 2017. doi:10.1016/j.neuroimage.2017.03.013. PMID 28284802. 
  46. Takeuchi, T; Duszkiewicz, A.J.; Morris, R.G. (2013). "The synaptic plasticity and memory hypothesis: encoding, storage and persistence." Philos Trans R Soc Lond B Biol Sci. 2013 Dec 2;369(1633):20130288. doi: 10.1098/rstb.2013.0288. PMID: 24298167; PMCID: PMC3843897.
  47. 47.0 47.1 Atta-ur-Rahman, ; Choudhary, M.I. (2001). "Bioactive natural products as a potential source of new pharmacophores. A theory of memory." Pure Appl. Chem., 2001, 73(3), 555-560,
  48. Amtul, Z.; Atta-ur-Rahman, Neural plasticity and memory,is memory encoded in hydrogen bonding patterns? Neuroscientist, 2016, 22(1), 9-18, PMID 25168338
  49. Amtul, Z.; Atta-ur-Rahman, Neural plasticity and memory:molecular mechanism. Rev. Neurosci., 2015, 26(3), 253- 268, PMID 25995328
  50. Atta-ur-Rahman, Molecular basis of memory: A grand orchestra of pattern formation by hydrogen bonds? Curr. Med. Chem., 2019, 25(42), 5800-5802,
  51. Chatterjee, S.; Bahl, E.; Mukherjee, U.; Walsh, E.N.; Shetty, M.S.; Yan, A.L.; Vanrobaeys, Y.; Lederman, J.D.; Giese, K.P.; Michaelson, J.; Abel, T. Endoplasmic reticulum chaperone genes encode effectors of long-term memory. Sci. Adv., 2022, 8(12), eabm6063, PMID 35319980
  52. Fein, Y.Y.; Geyer, P.; Zwick, P.; Kiałka, F.; Pedalino, S.; Mayor, M.; Gerlich, S.; Arndt, M. Quantum superposition of molecules beyond 25 kDa. Nat. Phys., 2019, 15(12), 1242-1245,
  53. ] Lewton, T. Quantum experiments add weight to a fringetheory of consciousness. NewScientist, 2022. Available from:
  54. Nicholson, C. The secret world in the gaps between brain cells. Phys. Today, 2022, 75(5), 26-32.
  55. Yan, L.; Ma, Y.; Seminario, J. Encoding information using molecular vibronics. J. Nanosci. Nanotechnol., 2016, 6(3), 675
  56. Discovery of quantum vibrations in 'microtubules' inside brain neurons supports controversial theory of consciousness. ScienceDaily 2014. Available from:
  57. Discovery of quantum vibrations in "microtubules" inside brain neurons corroborates contro-versial 20-year-old theory of consciousness. Elsevier 2014. Available from:
  58. Lewton, T. Quantum experiments add weight to a fringe theory of consciousness. NewScientist, 2022. Available from: quantum-experiments-add-weight-to-a-fringe-theory-ofconsciousness/
  59. ] Nicholson, C. The secret world in the gaps between brain cells. Phys. Today, 2022, 75(5), 26-32.
  60. "Distinctiveness and serial position effects in tonal sequences". Perception & Psychophysics 63 (4): 737–45. May 2001. doi:10.3758/BF03194434. PMID 11436742. 
  61. "The word-superiority effect and phonological recoding". Memory & Cognition 20 (6): 685–94. November 1992. doi:10.3758/BF03202718. PMID 1435271. 
  62. "Short-term forgetting of order under conditions of reduced interference". Quarterly Journal of Experimental Psychology A 52: 241–251. 1999. doi:10.1080/713755806. Retrieved 2018-01-09. 
  63. "The role of interference in memory span". Memory & Cognition 27 (5): 759–67. September 1999. doi:10.3758/BF03198529. PMID 10540805. 
  64. "Guided search: An alternative to the feature integration model for visual search". Journal of Experimental Psychology: Human Perception and Performance 15 (3): 419–433. 1989. doi:10.1037/0096-1523.15.3.419. PMID 2527952. 
  65. "Natural language and natural selection.". Behavioral and Brain Sciences 13 (4): 707–727. December 1990. doi:10.1017/S0140525X00081061. 
  66. "Dose-response relationship between exercise and cognitive function in older adults with and without cognitive impairment: A systematic review and meta-analysis". PLOS ONE 14 (1): e0210036. 2019-01-10. doi:10.1371/journal.pone.0210036. PMID 30629631. Bibcode2019PLoSO..1410036S. 
  67. "Aerobic exercise to improve cognitive function in older people without known cognitive impairment". The Cochrane Database of Systematic Reviews 2015 (4): CD005381. April 2015. doi:10.1002/14651858.CD005381.pub4. PMID 25900537. 
  68. Hazamy, Audrey A.; Altmann, Lori J.P.; Stegemöller, Elizabeth; Bowers, Dawn; Lee, Hyo Keun; Wilson, Jonathan; Okun, Michael S.; Hass, Chris J. (April 2017). "Improved cognition while cycling in Parkinson's disease patients and healthy adults" (in en). Brain and Cognition 113: 23–31. doi:10.1016/j.bandc.2017.01.002. PMID 28088064. 
  69. "The effects of acute wild blueberry supplementation on the cognition of 7-10-year-old schoolchildren". European Journal of Nutrition 58 (7): 2911–2920. October 2019. doi:10.1007/s00394-018-1843-6. PMID 30327868. 
  70. "Does phytoestrogen supplementation improve cognition in humans? A systematic review". Annals of the New York Academy of Sciences 1403 (1): 150–163. September 2017. doi:10.1111/nyas.13459. PMID 28945939. Bibcode2017NYASA1403..150T. 
  71. "Chocolate and the brain: neurobiological impact of cocoa flavanols on cognition and behavior". Neuroscience and Biobehavioral Reviews 37 (10 Pt 2): 2445–53. December 2013. doi:10.1016/j.neubiorev.2013.06.013. PMID 23810791. 
  72. Clement, Yuri N.; Onakpoya, Igho; Hung, Shao K.; Ernst, Edzard (March 2011). "Effects of herbal and dietary supplements on cognition in menopause: A systematic review" (in en). Maturitas 68 (3): 256–263. doi:10.1016/j.maturitas.2010.12.005. PMID 21237589. 
  73. "Cognitive stimulation to improve cognitive functioning in people with dementia". The Cochrane Database of Systematic Reviews (2): CD005562. February 2012. doi:10.1002/14651858.CD005562.pub2. PMID 22336813. 
  74. "Transcranial magnetic stimulation improves cognition over time in Parkinson's disease". Parkinsonism & Related Disorders 66: 3–8. September 2019. doi:10.1016/j.parkreldis.2019.07.006. PMID 31300260. 
  75. "Computerised cognitive training for 12 or more weeks for maintaining cognitive function in cognitively healthy people in late life". The Cochrane Database of Systematic Reviews 2020 (2): CD012277. February 2020. doi:10.1002/14651858.CD012277.pub3. PMID 32104914. 

Further reading

External links