Abstract
This chapter aims to illustrate the reception, encoding, and storage of information—including its modification through learning—in the brain of mammals, especially humans. The presentation of these processes begins on the level of a black-box analysis, that is, with a description of behavior, including patient studies that measure the capabilities and limitations of the entire system. The next level investigates the brain and its function based on the anatomy and histology especially of the human cortex revealing a functional specialization of cortex as already found by Brodmann (Vergleichende Lokalisationslehre der Grosshirnrinde. In ihren Priczipien dargestellt auf Grund des Zellenbaues. Barth, 1909). This functional specialization can also be seen in the various imaging studies based on the recording of the electric or magnetic brain activity or on changes in blood flow in the brain (functional magnetic resonance imaging). The third level is that of single cell recordings, mostly in animals, which shows the properties of single neurons and small neuronal assemblies. The last and most basic level considered is that of the biochemistry of information processing. On this level, description of the cellular mechanisms underlying information storage is most prominent. Modeling will help understand the experimental results on each of these levels.
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Álvarez, R., Masjuan, J.: Agnosias visuals. Rev. Clín. Esp. 216(2), 85–91 (2016)
Bailey, C.H., Chen, M.C.: Morphological basis of long-term habituation and sensitization in Aplysia. Science. 220, 91–93 (1983)
Belke, E., Meyer, A.S.: Tracking the time course of multidimensional stimulus discrimination: analyses of viewing patterns and processing times during “same”-“different” decisions. Eur. J. Cogn. Psychol. 14(2), 237–266 (2002). https://doi.org/10.1080/09541440143000050
Bisiach, E., Luzzatti, C.: Unilateral neglect of representational space. Cortex. 14, 129–133 (1978)
Braitenberg, V.: On the Texture of Brains. An Introduction to Neuroanatomy for the Cybernetically Minded. Springer, New York (1977)
Brodal, A.: Neurological anatomy. In: Relation to Clinical Medicine. Oxford University Press, New York (1969)
Brodmann, K.: Vergleichende Lokalisationslehre der Grosshirnrinde. In ihren Principien dargestellt auf Grund des Zellenbaues. Barth, Leipzig (1909)
Crair, M.C., Ruthazer, E.S., Gillespie, D.C., Stryker, M.P.: Ocular dominance peaks at pinwheel center singularities of the orientation map in cat visual cortex. J. Neurophysiol. 77(6), 3381–3385 (1997). https://doi.org/10.1152/jn.1997.77.6.3381
Fahle, M.: Parallel perception of vernier offsets, curvature, and chevrons in humans. Vis. Res. 31, 2149–2184 (1991). https://doi.org/10.1016/0042-6989(91)90170-A
Fahle, M.: Gesichtssinn und Okulomotorik. In: Schmidt, R.F., Unsicker, K. (eds.) Lehrbuch Vorklinik Teil B: Anatomie, Biochemie und Physiologie des Nervensystems, der Sinnesorgane und des Bewegungsapparats. Kommunikation, Wahrnehmung und Handlung, pp. 253–299. Deutscher Ärzteverlag, Köln (2003)
Fahle, M., Greenlee, M. (eds.): The Neuropsychology of Vision. Oxford University Press, New York (2003)
Farah, M.J.: Visual Agnosia. Disorders of Object Recognition and What They Tell Us about Normal Vision. MIT Press, Cambridge (1991)
Goodale, M.A., Milner, A.D.: Separate visual pathways for perception and action. Trends Neurosci. 15(1), 20–25 (1992). https://doi.org/10.1016/0166-2236(92)90344-8
Hochstein, S., Ahissar, M.: View from the top hierarchies and reverse hierarchies in the visual system. Neuron. 36, 791–804 (2002)
Kandell, E.R., Schwartz, J.H., Jessell, T.M.: Principles of Neural Sciences. McGraw-Hill, New York (2000)
Kandell, E.R., Schwartz, J.H., Jessell, T.M., Siegelbaum, S.A., Hudspeth, A.J.: Principles of Neural Sciences. McGraw-Hill, New York (2013)
Kanwisher, N.: Functional specificity in the human brain: a window into the functional architecture of the mind. PNAS. 107(25), 11163–11170 (2010). https://doi.org/10.1073/pnas.1005062107
Kranz, F., Ishai, A.: Face perception is modulated by sexual preference. Curr. Biol. 16(1), 63–68 (2006). https://doi.org/10.1016/j.cub.2005.10.070
Newsome, W.T., Britten, K.H., Movshon, J.A.: Neuronal correlates of a perceptual decision. Nature. 341, 52–54 (1989). https://doi.org/10.1038/341052a0
Oxford Living Dictionaries. https://en.oxforddictionaries.com/definition/information. Accessed 4 July 2018
Palm, G.: Neural Assemblies. An Alternative Approach to Artificial Intelligence. Springer, Berlin (1982)
Penfield, W., Rasmussen, T.: The Cerebral Cortex of Man: A Clinical Study of Localization of Function. Macmillan, New York (1950)
Rey, A.: L’examen psychologique dans les cas d’encéphalopathie traumatique (Les problems.). Arch. Psychol. 28, 215–285 (1941)
Roorda, A., Metha, A.B., Lennie, B., Williams, D.R.: Packing arrangement of the three cone classes in primate retina. Vis. Res. 41, 1291–1306 (2001)
Salzman, C.D., Murasugi, C.M., Britten, K.H., Newsome, W.T.: Microstimulation in visual area MT: effects on direction discrimination performance. J. Neurosci. 12(6), 2331–2355 (1992). https://doi.org/10.1523/JNEUROSCI.12-06-02331.1992
Treisman, A.M., Gelade, G.: A feature-integration theory of attention. Cogn. Psychol. 12, 97–136 (1980)
van Essen, D.C., Anderson, C.H., Felleman, D.J.: Information processing in the primate visual system: an integrated perspective. Science. 255, 419–423 (1992)
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Fahle, M. (2020). Information Processing and Storage in the Brain. In: Große, C., Drechsler, R. (eds) Information Storage. Springer, Cham. https://doi.org/10.1007/978-3-030-19262-4_1
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