Synopsis
A summary of brain theory is given inasfar as it is contained within the framework of localization theory. Difficulties of this “conventional theory” are traced back to a specific deficiency: there is no way to express relations between active cells (as for instance their representing parts of the same object). A new theory is proposed to cure this deficiency. It introduces a new kind of dynamical control, termed synaptic modulation, according to which synapses switch between a conducting and a nonconducting state. The dynamics of this variable is controlled on a fast time scale by correlations in the temporal fine structure of cellular signals. Furthermore, conventional synaptic plasticity is replaced by a refined version. Synaptic modulation and plasticity form the basis for short-term and long-term memory, respectively. Signal correlations, shaped by the variable network, express structure and relationships within objects. In particular, the figure-ground problem may be solved in this way. Synaptic modulation introduces flexibility into cerebral networks which is necessary to solve the invariance problem. Since momentarily useless connections are deactivated, interference between different memory traces can be reduced, and memory capacity increased, in comparison with conventional associative memory.
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References
Ariens Kappers CU, Huber GC, Crosby EC (1936) The Comparative Anatomy of the Nervous System of Vertebrates, Including Man (MacMillan, New York); a reprint appeared in 1960 (Hafner, New York)
Baranyi A, and Feher O (1981) Synaptic facilitation requires paired activation of convergent pathways in the neocortex. Nature 290:413–415
Barlow HB (1972) Single units and sensation: A neuron doctrine for perceptual psychology? Perception 1:371–394
Beurle RL (1956) Properties of a mass of cells capable of regenerating pulses. Philos. Trans. R. Soc. London Ser. B 240:55
Bliss TVP, Gardner-Medwin AR (1973) Long-lasting potentiation of synaptic transmission in the dentate area of the unanaesthetized rabbit following stimulation of the perforant path. J. Physiol. 232:357–374
Fukushima K (1980) Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biol. Cybern. 36:193–202
Haken H (1978): Synergetics, An Introduction (Springer, Berlin)
Haussier AF, von der Malsburg C (1983) Development of retinotopic projections, an analytical treatment. J. Theor. Neurobiol. 2:47–73
Hebb DO (1949) The organization of behavior (Wiley, New York). See also Hayek FA (1952) The sensory order (Univ. of Chicago Press, Chicago)
Julesz B (1981) Textons: The elements of texture perception, and their interactions. Nature 290:91–97
Little WA (1974) The existence of persistent states in the brain. Math. Biosci. 19:101–120
Legendy CR (1967) On the scheme by which the human brain stores information. Math. Biosci. 1:555–597
Luria AR (1973) The Working Bruin, An Introduction to Neuropsychology (Penguin, New York)
von der Malsburg C, Willshaw DJ (1977) How to label nerve cells so that they can interconnect in an ordered fashion. Proc. Natl. Acad. Sci. U.S.A. 74:5176–5178
Rosenblatt F (1962) Principles of Neurodynamics. Perceptrons and the Theory of Brain Mechanisms (Spartan, Washington, DC)
Sutherland NS (1968) Outlines of a theory of visual pattern recognition in animals and man. Proc. R. Soc. London Ser. B 171:297–317
Willshaw DJ, von der Malsburg C (1976) How patterned neural connections can be set up by self-organization. Proc. R. Soc. London Ser. B 194:431–445
Willshaw DJ, von der Malsburg C (1979) A marker induction mechanism for the establishment of ordered neural mappings: Its application to the retinotectal problem. Philos. Trans. R. Soc. London Ser. B 287:203–243
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© 1994 Springer-Verlag New York, Inc.
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von der Malsburg, C. (1994). The Correlation Theory of Brain Function. In: Domany, E., van Hemmen, J.L., Schulten, K. (eds) Models of Neural Networks. Physics of Neural Networks. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4320-5_2
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DOI: https://doi.org/10.1007/978-1-4612-4320-5_2
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