Cortical minicolumn

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A cortical minicolumn is a vertical column through the cortical layers of the brain. Neurons within the microcolumn "receive common inputs, have common outputs, are interconnected, and may well constitute a fundamental computational unit of the cerebral cortex".[1] Minicolumns comprise perhaps 80–120 neurons, except in the primate primary visual cortex (V1), where there are typically more than twice the number. There are about 2×108 minicolumns in humans.[2] From calculations, the diameter of a minicolumn is about 28–40 μm.[citation needed] Minicolumns grow from progenitor cells within the embryo and contain neurons within multiple layers (2–6) of the cortex.[3]

Many sources support the existence of minicolumns, especially Mountcastle,[4] with strong evidence reviewed by Buxhoeveden and Casanova[5] who conclude "... the minicolumn must be considered a strong model for cortical organization" and "[the minicolumn is] the most basic and consistent template by which the neocortex organizes its neurones, pathways, and intrinsic circuits".

Cortical minicolumns can also be called cortical microcolumns.[6] Cells in 50 μm minicolumn all have the same receptive field; adjacent minicolumns may have different fields.[7]

Although many studies have observed Neurons structured into cortical columns, it is still widely disputed as to whether they serve a purpose or are even the smallest functional unit of the cortex, or whether Neurons are simply packed in such a way purely for efficient space usage and that the columns otherwise have no other role in Brain function.[8][9]

Number of neurons[]

Estimates of number of neurons in a minicolumn range from 80–100 neurons.[5][4][10]

Jones[7] describes a variety of observations that may be interpreted as mini- or micro-columns and gives example numbers from 11 to 142 neurons per minicolumn.

Number of minicolumns[]

Estimates of the number of neurons in cortex or in neocortex are on the order of 2×1010.[11][12] Most[13] (perhaps 90%[citation needed]) of cortical neurons are neocortical neurons.

Johansson and Lansner[2] use an estimate of 2×1010 neurons in the neocortex and an estimate of 100 neurons per minicolumn, yielding an estimate of 2×108 minicolumns.

Sporns et al. give an estimate of 2×107 – 2×108 minicolumns[14] with no derivation.[citation needed]

Size[]

The minicolumn measures of the order of 40–50 μm in transverse diameter;[4][5] 35–60 μm;[15][16] 50 μm with 80 μm spacing,[17] or 30 μm with 50 μm.[18] Larger sizes may not be of human minicolumns, for example macaque monkey V1 minicolumns are 31 μm diameter, with 142 pyramidal cells[19] — 1270 columns per mm2. Similarly, the cat V1 has much bigger minicolumns, ~56 μm.[20]

The size can also be calculated from area considerations. If cortex (both hemispheres) is 1.27×1011 μm2 then if there are 2×108 minicolumns in the neocortex then each is 635 μm2, giving a diameter of 28 μm (if the cortex area were doubled to the commonly quoted value, this would rise to 40 μm). Johansson and Lansner[2] do a similar calculation and arrive at 36 μm (p51, last para).

Downwards projecting axons in minicolumns are ≈10 μm in diameter, periodicity and density similar to those within the cortex, but not necessarily coincident.[21]

See also[]

References[]

  1. ^ "Microcolumns in the Brain". www.physics.drexel.edu. Retrieved 2017-12-31.
  2. ^ Jump up to: a b c Johansson, Christopher; Lansner, Anders (2007). "Towards cortex sized artificial neural systems". Neural Networks. 20 (1): 48–61. doi:10.1016/j.neunet.2006.05.029. PMID 16860539.
  3. ^ Jeff Hawkins, Sandra Blakeslee On Intelligence p. 94
  4. ^ Jump up to: a b c Mountcastle, V. B. (April 1997). "The columnar organization of the neocortex". Brain. 120 (4): 701–722. doi:10.1093/brain/120.4.701. ISSN 0006-8950. PMID 9153131.
  5. ^ Jump up to: a b c Buxhoeveden, Daniel P.; Casanova, Manuel F. (May 2002). "The minicolumn hypothesis in neuroscience". Brain. 125 (Pt 5): 935–951. doi:10.1093/brain/awf110. ISSN 0006-8950. PMID 11960884.
  6. ^ "Microcolumns in the Brain". www.physics.drexel.edu. Retrieved 2017-12-31.
  7. ^ Jump up to: a b Jones, Edward G. (2000-05-09). "Microcolumns in the cerebral cortex". Proceedings of the National Academy of Sciences. 97 (10): 5019–5021. Bibcode:2000PNAS...97.5019J. doi:10.1073/pnas.97.10.5019. ISSN 0027-8424. PMC 33979. PMID 10805761.
  8. ^ Rakic, Pasko (2008-08-26). "Confusing cortical columns". Proceedings of the National Academy of Sciences of the United States of America. 105 (34): 12099–12100. Bibcode:2008PNAS..10512099R. doi:10.1073/pnas.0807271105. ISSN 0027-8424. PMC 2527871. PMID 18715998.
  9. ^ Weiler, Nick (July 23, 2013). "Splitting the Column: new data reveals an overlooked wrinkle of cortical organization". NeuWrite West.
  10. ^ Sporns O, Tononi G, Kötter R. The human connectome: A structural description of the human brain. PLoS Comput. Biol. 2005 Sep1(4):e42.
  11. ^ Pakkenberg B., Gundersen H. J. G. (1997). "Neocortical Neuron Number in Humans: Effect of Sex and Age". The Journal of Comparative Neurology. 384 (2): 312–320. doi:10.1002/(sici)1096-9861(19970728)384:2<312::aid-cne10>3.3.co;2-g. PMID 9215725.
  12. ^ Azevedo F. A.C., Carvalho L. R.B., Grinberg L. T., Farfel J. M., Ferretti R. E.L., Leite R. E.P., Filho W. J., Lent R., Herculano-Houzel S. (2009). "Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain" (PDF). J. Comp. Neurol. 513 (5): 532–541. doi:10.1002/cne.21974. PMID 19226510. S2CID 5200449.CS1 maint: multiple names: authors list (link)
  13. ^ Claudia Krebs MD PhD, Joanne Weinberg PhD, Elizabeth Akesson MSc. Lippincott’s Illustrated Reviews: Neuroscience, accessed Nov 10 2013. Chapter 13, II.A, "Histological organization of the cortex"
  14. ^ Sporns O, Tononi G, Kötter R. The human connectome: A structural description of the human brain. PLoS Comput. Biol. 2005 Sep1(4):e42
  15. ^ Schlaug 1995.
  16. ^ Buxhoeveden 1996, 2000, 2001
  17. ^ Buldyrev, 2000
  18. ^ Buxhoeveden, 2000
  19. ^ Peters, 1994
  20. ^ Peters 1991, 1993
  21. ^ DePhilipe, 1990

External links[]

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