Approximate number system

Last updated

The approximate number system (ANS) is a cognitive system that supports the estimation of the magnitude of a group without relying on language or symbols. The ANS is credited with the non-symbolic representation of all numbers greater than four, with lesser values being carried out by the parallel individuation system, or object tracking system. [1] Beginning in early infancy, the ANS allows an individual to detect differences in magnitude between groups. The precision of the ANS improves throughout childhood development and reaches a final adult level of approximately 15% accuracy, meaning an adult could distinguish 100 items versus 115 items without counting. [2] The ANS plays a crucial role in development of other numerical abilities, such as the concept of exact number and simple arithmetic. The precision level of a child's ANS has been shown to predict subsequent mathematical achievement in school. [3] The ANS has been linked to the intraparietal sulcus of the brain. [4]

Contents

History

Piaget's theory

Jean Piaget was a Swiss developmental psychologist who devoted much of his life to studying how children learn. A book summarizing his theories on number cognition, The Child's Conception of Number, was published in 1952. [2] Piaget's work supported the viewpoint that children do not have a stable representation of number until the age of six or seven. His theories indicate that mathematical knowledge is slowly gained and during infancy any concept of sets, objects, or calculation is absent. [2]

Challenging the Piagetian viewpoint

Piaget's ideas pertaining to the absence of mathematical cognition at birth have been steadily challenged. The work of Rochel Gelman and C. Randy Gallistel among others in the 1970s suggested that preschoolers have intuitive understanding of the quantity of a set and its conservation under non cardinality-related changes, expressing surprise when objects disappear without an apparent cause. [2]

Current theory

Beginning as infants, people have an innate sense of approximate number that depends on the ratio between sets of objects. [5] Throughout life the ANS becomes more developed, and people are able to distinguish between groups having smaller differences in magnitude. [6] The ratio of distinction is defined by Weber's law, which relates the different intensities of a sensory stimulus that is being evaluated. [7] In the case of the ANS, as the ratio between the magnitudes increases, the ability to discriminate between the two quantities increases.

Today, some theorize that the ANS lays the foundation for higher-level arithmetical concepts. Research has shown that the same areas of the brain are active during non-symbolic number tasks in infants and both non-symbolic and more sophisticated symbolic number tasks in adults. [8] These results could suggest that the ANS contributes over time to the development of higher-level numerical skills that activate the same part of the brain.

However, longitudinal studies do not necessarily find that non-symbolic abilities predict later symbolic abilities. Conversely, early symbolic number abilities have been found to predict later non-symbolic abilities, not vice versa as predicted. [9] In adults for example, non-symbolic number abilities do not always explain mathematics achievement. [10]

Neurological basis

Brain imaging studies have identified the parietal lobe as being a key brain region for numerical cognition. [11] Specifically within this lobe is the intraparietal sulcus which is "active whenever we think about a number, whether spoken or written, as a word or as an Arabic digit, or even when we inspect a set of objects and think about its cardinality". [2] When comparing groups of objects, activation of the intraparietal sulcus is greater when the difference between groups is numerical rather than an alternative factor, such as differences in shape or size. [5] This indicates that the intraparietal sulcus plays an active role when the ANS is employed to approximate magnitude.

Parietal lobe brain activity seen in adults is also observed during infancy during non-verbal numerical tasks, suggesting that the ANS is present very early in life. [6] A neuroimaging technique, functional Near-Infrared Spectroscopy, was performed on infants revealing that the parietal lobe is specialized for number representation before the development of language. [6] This indicates that numerical cognition may be initially reserved to the right hemisphere of the brain and becomes bilateral through experience and the development of complex number representation.

It has been shown that the intraparietal sulcus is activated independently of the type of task being performed with the number. The intensity of activation is dependent on the difficulty of the task, with the intraparietal sulcus showing more intense activation when the task is more difficult. [2] In addition, studies in monkeys have shown that individual neurons can fire preferentially to certain numbers over others. [2] For example, a neuron could fire at maximum level every time a group of four objects is seen, but will fire less to a group three or five objects.

Pathology

Damage to intraparietal sulcus

Damage done to parietal lobe, specifically in the left hemisphere, can produce difficulties in counting and other simple arithmetic. [2] Damage directly to the intraparietal sulcus has been shown to cause acalculia, a severe disorder in mathematical cognition. [5] Symptoms vary based the location of damage, but can include the inability to perform simple calculations or to decide that one number is larger than another. [2] Gerstmann syndrome, a disease resulting in lesions in the left parietal and temporal lobes, results in acalculia symptoms and further confirms the importance of the parietal region in the ANS. [12]

Developmental delays

A syndrome known as dyscalculia is seen in individuals who have unexpected difficulty understanding numbers and arithmetic despite adequate education and social environments. [13] This syndrome can manifest in several different ways from the inability to assign a quantity to Arabic numerals to difficulty with times tables. Dyscalculia can result in children falling significantly behind in school, regardless of having normal intelligence levels.

In some instances, such as Turner syndrome, the onset of dyscalculia is genetic. Morphological studies have revealed abnormal lengths and depths of the right intraparietal sulcus in individuals suffering from Turner syndrome. [13] Brain imaging in children exhibiting symptoms of dyscalculia show less gray matter or less activation in the intraparietal regions stimulated normally during mathematical tasks. [2] Additionally, impaired ANS acuity has been shown to differentiate children with dyscalculia from their normally-developing peers with low maths achievement. [14]

Further research and theories

Impact of the visual cortex

The intraparietal region relies on several other brain systems to accurately perceive numbers. When using the ANS we must view the sets of objects in order to evaluate their magnitude. The primary visual cortex is responsible for disregarding irrelevant information, such as the size or shape of the objects. [2] Certain visual cues can sometimes affect how the ANS functions.

Arranging the items differently can alter the effectiveness of the ANS. One arrangement proven to influence the ANS is visual nesting, or placing the objects within one another. This configuration affects the ability to distinguish each item and add them together at the same time. The difficulty results in underestimation of the magnitude present in the set or a longer amount of time needed to perform an estimate. [15]

Another visual representation that affects the ANS is the spatial-numerical association response code, or the SNARC effect. The SNARC effect details the tendency of larger numbers to be responded to faster by the right hand and lower numbers by the left hand, suggesting that the magnitude of a number is linked to a spatial representation. [16] Dehaene and other researchers believe this effect is caused by the presence of a “mental number line” in which small numbers appear on the left and increase as you move right. [16] The SNARC effect indicates that the ANS works more effectively and accurately if the larger set of objects is on the right and the smaller on the left.

Development and mathematical performance

Although the ANS is present in infancy before any numerical education, research has shown a link between people's mathematical abilities and the accuracy in which they approximate the magnitude of a set. This correlation is supported by several studies in which school-aged children's ANS abilities are compared to their mathematical achievements. At this point the children have received training in other mathematical concepts, such as exact number and arithmetic. [17] More surprisingly, ANS precision before any formal education accurately predicts better math performance. A study involving 3- to 5-year-old children revealed that ANS acuity corresponds to better mathematical cognition while remaining independent of factors that may interfere, such as reading ability and the use of Arabic numerals. [18]

ANS in animals

Many species of animals exhibit the ability to assess and compare magnitude. This skill is believed to be a product of the ANS. Research has revealed this capability in both vertebrate and non-vertebrate animals including birds, mammals, fish, and even insects. [19] In primates, implications of the ANS have been steadily observed through research. One study involving lemurs showed that they were able to distinguish groups of objects based only on numerical differences, suggesting that humans and other primates utilize a similar numerical processing mechanism. [20]

In a study comparing students to guppies, both the fish and students performed the numerical task almost identically. [19] The ability for the test groups to distinguish large numbers was dependent on the ratio between them, suggesting the ANS was involved. Such results seen when testing guppies indicate that the ANS may have been evolutionarily passed down through many species. [19]

Applications in society

Implications for the classroom

Understanding how the ANS affects students' learning could be beneficial for teachers and parents. The following tactics have been suggested by neuroscientists to utilize the ANS in school: [2]

Such tools are most helpful in training the number system when the child is at an earlier age. Children coming from a disadvantaged background with risk of arithmetic problems are especially impressionable by these tactics. [2]

Related Research Articles

<span class="mw-page-title-main">Parietal lobe</span> Part of the brain responsible for sensory input and some language processing

The parietal lobe is one of the four major lobes of the cerebral cortex in the brain of mammals. The parietal lobe is positioned above the temporal lobe and behind the frontal lobe and central sulcus.

Dyscalculia is a disability resulting in difficulty learning or comprehending arithmetic, such as difficulty in understanding numbers, learning how to manipulate numbers, performing mathematical calculations, and learning facts in mathematics. It is sometimes colloquially referred to as "math dyslexia", though this analogy is misleading as they are distinct syndromes.

<span class="mw-page-title-main">Brodmann area 40</span> Part of the parietal cortex in the human brain

Brodmann area 40 (BA40) is part of the parietal cortex in the human brain. The inferior part of BA40 is in the area of the supramarginal gyrus, which lies at the posterior end of the lateral fissure, in the inferior lateral part of the parietal lobe.

<span class="mw-page-title-main">Angular gyrus</span> Gyrus of the parietal lobe of the brain

The angular gyrus is a region of the brain lying mainly in the posteroinferior region of the parietal lobe, occupying the posterior part of the inferior parietal lobule. It represents the Brodmann area 39.

Acalculia is an acquired impairment in which people have difficulty performing simple mathematical tasks, such as adding, subtracting, multiplying, and even simply stating which of two numbers is larger. Acalculia is distinguished from dyscalculia in that acalculia is acquired late in life due to neurological injury such as stroke, while dyscalculia is a specific developmental disorder first observed during the acquisition of mathematical knowledge. The name comes from the Greek a- meaning "not" and Latin calculare, which means "to count".

<span class="mw-page-title-main">Superior parietal lobule</span>

The superior parietal lobule is bounded in front by the upper part of the postcentral sulcus, but is usually connected with the postcentral gyrus above the end of the sulcus. The superior parietal lobule contains Brodmann's areas 5 and 7.

<span class="mw-page-title-main">Inferior parietal lobule</span> Portion of the parietal lobe of the brain

The inferior parietal lobule lies below the horizontal portion of the intraparietal sulcus, and behind the lower part of the postcentral sulcus. Also known as Geschwind's territory after Norman Geschwind, an American neurologist, who in the early 1960s recognised its importance. It is a part of the parietal lobe.

In psychology, number sense is the term used for the hypothesis that some animals, particularly humans, have a biologically determined ability that allows them to represent and manipulate large numerical quantities. The term was popularized by Stanislas Dehaene in his 1997 book "The Number Sense".

<span class="mw-page-title-main">Intraparietal sulcus</span> Sulcus on the lateral surface of the parietal lobe

The intraparietal sulcus (IPS) is located on the lateral surface of the parietal lobe, and consists of an oblique and a horizontal portion. The IPS contains a series of functionally distinct subregions that have been intensively investigated using both single cell neurophysiology in primates and human functional neuroimaging. Its principal functions are related to perceptual-motor coordination and visual attention, which allows for visually-guided pointing, grasping, and object manipulation that can produce a desired effect.

Numerical cognition is a subdiscipline of cognitive science that studies the cognitive, developmental and neural bases of numbers and mathematics. As with many cognitive science endeavors, this is a highly interdisciplinary topic, and includes researchers in cognitive psychology, developmental psychology, neuroscience and cognitive linguistics. This discipline, although it may interact with questions in the philosophy of mathematics, is primarily concerned with empirical questions.

<span class="mw-page-title-main">Stanislas Dehaene</span> French cognitive neuroscientist

Stanislas Dehaene is a French author and cognitive neuroscientist whose research centers on a number of topics, including numerical cognition, the neural basis of reading and the neural correlates of consciousness. As of 2017, he is a professor at the Collège de France and, since 1989, the director of INSERM Unit 562, "Cognitive Neuroimaging".

In human developmental psychology or non-human primate experiments, ordinal numerical competence or ordinal numerical knowledge is the ability to count objects in order and to understand the greater than and less than relationships between numbers. It has been shown that children as young as two can make some ordinal numerical decisions. There are studies indicating that some non-human primates, like chimpanzees and rhesus monkeys have some ordinal numerical competence.

<span class="mw-page-title-main">Posterior parietal cortex</span>

The posterior parietal cortex plays an important role in planned movements, spatial reasoning, and attention.

Educational neuroscience is an emerging scientific field that brings together researchers in cognitive neuroscience, developmental cognitive neuroscience, educational psychology, educational technology, education theory and other related disciplines to explore the interactions between biological processes and education. Researchers in educational neuroscience investigate the neural mechanisms of reading, numerical cognition, attention and their attendant difficulties including dyslexia, dyscalculia and ADHD as they relate to education. Researchers in this area may link basic findings in cognitive neuroscience with educational technology to help in curriculum implementation for mathematics education and reading education. The aim of educational neuroscience is to generate basic and applied research that will provide a new transdisciplinary account of learning and teaching, which is capable of informing education. A major goal of educational neuroscience is to bridge the gap between the two fields through a direct dialogue between researchers and educators, avoiding the "middlemen of the brain-based learning industry". These middlemen have a vested commercial interest in the selling of "neuromyths" and their supposed remedies.

In psychology, the numerical Stroop effect demonstrates the relationship between numerical values and physical sizes. When digits are presented visually, they can be physically large or small, irrespective of their actual values. Congruent pairs occur when size and value correspond while incongruent pairs occur when size and value are incompatible. It was found that when people are asked to compare digits, their reaction time tends to be slower in the case of incongruent pairs. This reaction time difference between congruent and incongruent pairs is termed the numerical Stroop effect

Number sense in animals is the ability of creatures to represent and discriminate quantities of relative sizes by number sense. It has been observed in various species, from fish to primates. Animals are believed to have an approximate number system, the same system for number representation demonstrated by humans, which is more precise for smaller quantities and less so for larger values. An exact representation of numbers higher than three has not been attested in wild animals, but can be demonstrated after a period of training in captive animals.

<span class="mw-page-title-main">Avishai Henik</span> Israeli neurocognitive psychologist (born 1945)

Avishai Henik is an Israeli neurocognitive psychologist who works at Ben-Gurion University of the Negev (BGU). Henik studies voluntary and automatic (non-voluntary/reflexive) processes involved in cognitive operations. He characterizes automatic processes, and clarifies their importance, the relationship between automatic and voluntary processes, and their neural underpinnings. Most of his work involves research with human participants and in recent years, he has been working with Archer fish in order to examine evolutionary aspects of various cognitive functions.

<span class="mw-page-title-main">Roi Cohen Kadosh</span> Israeli-British cognitive neuroscientist

Roi Cohen Kadosh is an Israeli-British cognitive neuroscientist notable for his work on numerical and mathematical cognition and learning and cognitive enhancement. He is a professor of Cognitive Neuroscience and the head of the School of Psychology at the University of Surrey.

Social cognitive neuroscience is the scientific study of the biological processes underpinning social cognition. Specifically, it uses the tools of neuroscience to study "the mental mechanisms that create, frame, regulate, and respond to our experience of the social world". Social cognitive neuroscience uses the epistemological foundations of cognitive neuroscience, and is closely related to social neuroscience. Social cognitive neuroscience employs human neuroimaging, typically using functional magnetic resonance imaging (fMRI). Human brain stimulation techniques such as transcranial magnetic stimulation and transcranial direct-current stimulation are also used. In nonhuman animals, direct electrophysiological recordings and electrical stimulation of single cells and neuronal populations are utilized for investigating lower-level social cognitive processes.

<span class="mw-page-title-main">Occipital gyri</span> Three parallel gyri of the occipital lobe of the brain

The occipital gyri (OcG) are three gyri in parallel, along the lateral portion of the occipital lobe, also referred to as a composite structure in the brain. The gyri are the superior occipital gyrus, the middle occipital gyrus, and the inferior occipital gyrus, and these are also known as the occipital face area. The superior and inferior occipital sulci separates the three occipital gyri.

References

  1. Piazza, M. (2010). "Neurocognitive start-up tools for symbolic number representations". Trends in Cognitive Sciences. 14 (12): 542–551. doi:10.1016/j.tics.2010.09.008. PMID   21055996. S2CID   13229498.
  2. 1 2 3 4 5 6 7 8 9 10 11 12 13 Sousa, David (2010). Mind, Brain, and Education: Neuroscience Implications for the Classroom. Solution Tree Press. ISBN   9781935249634.
  3. Mazzocco, M.M.M.; Feigenson, L.; Halberda, J. (2011). "Preschoolers' precision of the approximate number system predicts later school mathematics performance". PLOS ONE. 6 (9): e23749. Bibcode:2011PLoSO...623749M. doi: 10.1371/journal.pone.0023749 . PMC   3173357 . PMID   21935362.
  4. Piazza, M. (2004). "Tuning curves for approximate numerosity in the human parietal cortex". Neuron. 44 (3): 547–555. doi: 10.1016/j.neuron.2004.10.014 . PMID   15504333.
  5. 1 2 3 Cantlon, JF (2006). "Functional Imaging of Numerical Processing in Adults and 4-y-old Children". PLOS Biology. 4 (5): e125. doi: 10.1371/journal.pbio.0040125 . PMC   1431577 . PMID   16594732.
  6. 1 2 3 Hyde, DC (2010). "Near-infrared spectroscopy shows right parietal specialization for number in pre-verbal infants". NeuroImage. 53 (2): 647–652. doi:10.1016/j.neuroimage.2010.06.030. PMC   2930081 . PMID   20561591.
  7. Pessoa, L; Desimone R. (2003). "From Humble Neural Beginnings Comes Knowledge of Numbers". Neuron. 37 (1): 4–6. doi: 10.1016/s0896-6273(02)01179-0 . PMID   12526766.
  8. Piazza, M (2007). "A magnitude code common to numerosity and number symbols in human intraparietal cortex". Neuron. 53 (2): 293–305. doi: 10.1016/j.neuron.2006.11.022 . PMID   17224409.
  9. Mussolin, Christophe; Nys, Julie; Content, Alain; Leybaert, Jacqueline (2014-03-17). "Symbolic Number Abilities Predict Later Approximate Number System Acuity in Preschool Children". PLOS ONE. 9 (3): e91839. Bibcode:2014PLoSO...991839M. doi: 10.1371/journal.pone.0091839 . PMC   3956743 . PMID   24637785.
  10. Inglis, Matthew; Attridge, Nina; Batchelor, Sophie; Gilmore, Camilla (2011-12-01). "Non-verbal number acuity correlates with symbolic mathematics achievement: but only in children". Psychonomic Bulletin & Review. 18 (6): 1222–1229. doi: 10.3758/s13423-011-0154-1 . ISSN   1531-5320. PMID   21898191.
  11. Dehaene, S (2003). "Three parietal circuits for number processing". Cognitive Neuropsychology. 20 (3): 487–506. CiteSeerX   10.1.1.4.8178 . doi:10.1080/02643290244000239. PMID   20957581. S2CID   13458123.
  12. Ashkenazi, S (2008). "Basic Numerical Processing in Left Intraparietal Sulcus (IPS) Acalculia". Cortex. 44 (4): 439–448. doi:10.1016/j.cortex.2007.08.008. PMID   18387576. S2CID   11505775.
  13. 1 2 Molko, N (2003). "Functional and structural alterations of the intraparietal sulcus in a developmental dyscalculia of genetic origin". Neuron. 40 (4): 847–858. doi: 10.1016/s0896-6273(03)00670-6 . PMID   14622587. S2CID   346457.
  14. Mazzocco, M.M.M.; Feigenson, L.; Halberda, J. (2011). "Impaired Acuity of the Approximate Number System Underlies Mathematical Learning Disability(Dyscalculia)". Child Development. 82 (4): 1224–1237. doi:10.1111/j.1467-8624.2011.01608.x. PMC   4411632 . PMID   21679173.
  15. Chesney, DL (2012). "Visual Nesting Impacts Approximate Number System Estimation". Attention, Perception, & Psychophysics. 74 (6): 1104–13. doi: 10.3758/s13414-012-0349-1 . PMID   22810562.
  16. 1 2 Ren, P (2011). "Size matters: non-numerical magnitude affects the spatial coding of response". PLOS ONE. 6 (8): e23553. Bibcode:2011PLoSO...623553R. doi: 10.1371/journal.pone.0023553 . PMC   3154948 . PMID   21853151.
  17. Halberda, J (2008). "Individual differences in non-verbal number acuity correlate with maths achievement". Nature. 455 (7213): 665–8. Bibcode:2008Natur.455..665H. doi:10.1038/nature07246. PMID   18776888. S2CID   27196030.
  18. Libertus, ME (2011). "Preschool acuity of the approximate number system correlates with school math ability". Developmental Science. 14 (6): 1292–1300. doi:10.1111/j.1467-7687.2011.01080.x. PMC   3338171 . PMID   22010889.
  19. 1 2 3 Agrillo, Christian (2012). "Evidence for Two Numerical Systems That Are Similar in Humans and Guppies". PLOS ONE. 7 (2): e31923. Bibcode:2012PLoSO...731923A. doi: 10.1371/journal.pone.0031923 . PMC   3280231 . PMID   22355405.
  20. Merritt, Dustin (2011). "Numerical rule-learning in ring-tailed Lemurs (Lemur catta)". Frontiers in Psychology. 2 (23): 23. doi: 10.3389/fpsyg.2011.00023 . PMC   3113194 . PMID   21713071.