Summary
This report has the aim to indicate relevant implications of the systems theory approach to the experiments in conscious brain. The reports related to comparative neurophysiology and to the understanding of brain as a ‘whole’ are rare, an outstanding comparative approach report in biological sciences was that of Darwin, who performed a voyage in order to compare structures of species and the principle of natural selectivity.
In despite of the fruitful approach of Darwin, most of the brain scientists do prefer to analyze either one type of brain or even only one structure to interpret the brain function. The single neuron doctrine developed by Sherrington also did not consider these various aspects. The avenue opened by Hans Berger which introduced the analysis of the brain oscillations was an important step towards understanding of the ‘whole brain’.
In this report we aim to describe narratively, technical, strategical and philosophical steps to bridge “Sherrington Neuron Doctrine” with the “Neurons-Brain Theory” of the whole brain by means of the method developed by Hans Berger.
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References
Adrian, E. D. (1941) “Afferent discharges to the cerebral cortex from peripheral sense organs”, J. Physiol. (Lond.) 100, 159–191.
Albright, T. D., Kandel, E. R., Posner, M. I. (2000) “Cognitive neuroscience”, Curr Opin Neurobiol. 10(5), 612–624.
Barlow, H. B. (1972) “Single Units and Sensation: A neuron doctrine for perceptual psychology”, Perception 1, 371–394.
Başar E. (1976) Biophysical and Physiological Systems Analysis, Addison Wesley, Reading, Massachusetts.
Başar E. (1980) EEG-Brain Dynamics, Elsevier, Amsterdam.
Basar, E. (ed.) (1990) Chaos in Brain Function, Springer, Berlin-Heidelberg-New York.
Başar, E. (1998) Brain Function and Oscillations. I. Brain Oscillations: Principles and Approaches, Berlin, Heidelberg, Springer.
Başar, E. (1999) Brain Function and Oscillations. II. Integrative Brain Function. Neurophysiology and Cognitive Processes, Springer, Berlin, Heidelberg.
Başar, E.; Başar-Eroğlu, C.; Karakaş, S.; Schürmann, M. (2001) Gamma, alpha, delta, and theta oscillations govern cognitive processes. Int J Psychophysiol. 39: 241–248.
Başar, E.; Demiralp, T.; Schürmann, M.; Başar-Eroğlu, C.; Ademoğlu, A. (1999) Oscillatory brain dynamics, wavelet analysis, and cognition. Brain Lang. 66: 146–183.
Başar, E.; Özgören, M.; Karakaş, S. (2001) A Brain Theory Based on Neural Assemblies and Superbinding. In: Reuter, H.; Schwab, P.; Kleiber, D., Gniech, G. (eds) Wahrnehmen und Erkennen. PABST Science Publishers, Lengerich, pp 11–24.
Başar, E.; Özgören, M.; Karakaş, S. (2001) Superbinding in integrative brain function and memory. In: Proceedings, 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Başar, E.; Özgören, M.; Başar-Eroğlu, C.; Karakaş, S. (2002) Superbinding: Spatio-Temporal Oscillatory Dynamics versus Sherrington’s Neuron Doctrine. Theory in Biosciences (submitted).
Başar-Eroğlu, C.; Başar, E.; Demiralp, T.; Schürmann, M. (1992) P300-response: possible psychophysiological correlates in delta and theta frequency channels, A review. Int. J. Psychophysiol. 13: 161–179.
Berger, H. (1929) Über das Elektroenzephalogramm des Menschen. 1. Bericht. Arch. Psychiat. Nervenkr. 87: 527–570.
Damasio, A. R.; Damasio, H. (1994) Cortical systems for retrieval of concrete knowledge: the convergence zone framework. In: C. Koch; J.L. Davis (eds) Large-Scale Neuronal Theories of the Brain, MIT Press, Cambridge, MA, pp 61–74.
Dinse, H. R.; Krüger, K.; Akhavan, A. C.; Spengler, F.; Schöner, G.; Schreiner, C. E. (1997) Low-frequency oscillations of visual, auditory and somatosensory cortical neurons evoked by sensory stimulation. Int. J. Psychophysiol. 26: 205–227.
Duke, D.; Pritchard, W. (1991) Measuring Chaos in the Human Brain, World Scientific, Singapore.
Eckhorn, R.; Bauer, R.; Jordan, R.; Brosch, W.; Kruse, M.; Munk, M.; Reitboeck, H.J. (1988) Coherent oscillations: a mechanism of feature linking in the visual cortex? Biol. Cybern. 60: 121–130.
Fessard, A. (1961) The role of neuronal networks in sensory communications within the brain. In: Rosenblith, W. A. (ed) Sensory communication, Boston, MIT Press.
Freeman, W.J. (ed.) (1975) Mass Action in the Nervous System, Academic Press, New York.
Freeman, W.J. (1998) Preface. In: Başar, E. Brain Function and Oscillations, Berlin, Heidelberg, Springer.
Fuster, J. M. (1995) Memory in the cortex of the primate. Biol. Res. 28: 59–72.
Fuster, J. M. (1997) Network Memory. Trends Neurosci. 20: 451–459.
Goldman-Rakic, P. (1988) Topography of cognition: Parallel distributed networks in primate association cortex. Ann. Rev. Neurosci. 11: 137–156.
Goldman-Rakic, P. (1997) Space and time in the mental universe. Nature 386: 559–560.
Gray, C. M.; Singer, W. (1989) Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex. Proc. Natl. Acad. Sci. USA. 86: 1698–1702.
Griffith, J. S. (1971) Mathematical Neurobiology. An Introduction to the Mathematics of the Nervous System, Academic Press, New York.
Haken, H. (1977) Synergetics. An introduction, Springer, Berlin, Heidelberg, New York.
Hayek, F. A. (1952) The sensory order, University of Chicago Press.
Hebb, D. O. (1949) The organization of behaviour, Wiley, New York.
John, E. R. (1988) Electrophysiological and radiographic evidence for the mediation of memory by an anatomically distributed system. In: Başar, E. (ed) Dynamics of Sensory and Cognitive Processing by the Brain, Springer, Berlin, Heidelberg, New York, pp. 56–87.
Kocsis, B., Viana Di Prisco, G., Vertes, R. P. (2001) Theta synchronization in the limbic system: The role of Gudden’s tegmental nuclei. European Journal of Neuroscience. 13(2): 381–388.
Lashley, K. S. (1929) Brain Mechanisms and Intelligence: A quantitative Study of Injuries to the Brain, Chicago, University of Chicago Press.
Lehnertz, K.; Arnhold, J.; Grassberger, P.; Elger, C. E. (eds.) (1999) Chaos in Brain? World Scientific, Singapore.
Llinás, R. R. (1988) The intrinsic electrophysiological properties of mammalian neurons: Insights into central nervous system function. Science 242: 1654–1664.
Mesulam, M. M. (1990) Large scale neurocognitive networks and distributed processing for attention, language, and memory. Ann. Neurol. 28: 597–613.
Mesulam, M. M. (1994) Neurocognitive networks and selectively distributed processing. Rev. Neurol. (Paris) 150: 564–569.
Molnár, M. (1999) Brain complexity as revealed by non-linear and linear electrophysiology. International Journal of Psychophysiology 1: 1–3.
Mountcastle, V. B.; (1992) Preface. In: Başar, E.; Bullock, T. H. (eds.) Induced Rhythms in the Brain. Birkhäuser, Boston, MA, pp 217–231.
Quiroga, R. Q.; Rosso, O. A.; Başar, E. (1999) Wavelet entropy: a measure of order in evoked potentials. Electrenceph. Clin. Neurophysiol. Suppl. 49: 299–303.
Quiroga, R. Q.; Rosso, O. A.; Basar, E.; Schürmann, M. (2001) Wavelet entropy in event-related potentials: a new method shows ordering of EEG oscillations. Biol Cybern. 84: 291–299.
Rosen, R. (1969) Hierarchical organization in automata theoretic models of the central nervous system. In: Leibovic, K. N. (ed) Information processing in the nervous system, Springer, Berlin Heidelberg, New York.
Rosso, O. A.; Blanco, S.; Yordanova, J.; Kolev, V.; Figliola, A.; Schürmann, M.; Başar, E. (2001) Wavelet entropy: a new tool for analysis of short duration brain electrical signals. J Neurosci Methods. 105: 65–75.
Schürmann, M.; Demiralp, T.; Başar, E.; Başar-Eroğlu, C. (2000) Electroencephalogram alpha (8–15 Hz) responses to visual stimuli in cat cortex, thalamus, and hippocampus: a distributed alpha network? Neurosci Lett. 292: 175–178.
Sherrington, C. (1948) The Integrative Action of the Nervous System, Cambridge University Press.
Sokolov, E. N. (2001) In: Başar, E., Schürmann, M. Toward new theories of Brain function and brain dynamics. Int. J. Psychophysiol. 39: 87–89.
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Özgören, M., Başar, E. Macroscopic electrical activity as a conceptual framework in cognitive neuroscience. Theory Biosci. 121, 351–369 (2003). https://doi.org/10.1007/s12064-003-0042-y
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DOI: https://doi.org/10.1007/s12064-003-0042-y