The brain as a fuzzy machine: A modeling problem

Fuzzy and Neuro-Fuzzy Systems in Medicine

Volumn , Issue , 2017, Pages 17-56

  Erickson, Robert P ^a   Chelaru, Mircea I ^b,c   Buhusi, Catalin V ^b,c  

^a DUKE UNIVERSITY   (United States)

^b DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c ACADEMY OF ROMANIAN SCIENTISTS   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0005132867     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/9780203713419     Document Type: Chapter

References (46)

1. Manton, K.G., Woodbury, M.A., and Tolley, H.D. Statistical Applications using Fuzzy Sets. Wiley: New York, 1994.
2. Erickson, R. P., Rodgers, J. L., and Sarle, W. S. Statistical Analyses of Neural Organization. J. Neurophysiol., 70, 2289, 1993.
3. Young, T. On the theory of light and colours. Phil. Tans. Soc. of London, 92, 12, 1802.
4. rd ed., Trans, and ed. J.P.C. Southall, Rochester, NY: Optical Soc. Of America, 1860, vol, 2, 1924.
5. Erickson, R. P. (1963). Sensory Neural Patterns and Gustation. In Y. Zotterman (Ed.), Olfaction and Taste, Oxford, England: Pergamon Press, 1963, vol. 1, 205.
6. Erickson, R. P. Stimulus Coding in Topographic and Nontopographic Afferent Modalities. Psych. Rev., 75, 447, 1968.
7. Erickson, R. P, Doetsch, G. S., and Marshall, D. A. The Gustatory Neural Response Function. J. Gen. Physiol., 49, 247, 1965.
8. Fernandez, C., Goldberg, J. M., and Abend, W. K. Response to static tilts of peripheral neurons innervating otolith organs of the squirrel monkey. J. Neurophysiol., 35, 978, 1972.
9. Henry, G. H, Dreher, B, and Bishop, P. O. Orientation specificity of cells in cat striate cortex. J. Neurophysiol., 37, 1394, 1974.
10. Rose, J.E., Galambos, R. and Hughes, J. R. Microelectrode studies of the cochlear nuclei of the cat. Bull. Johns Hopkins Hosp. 104, 211, 1959.
11. Marks, W. B, Dobelle, W. H, and MacNichol, E.F. Visual pigments in single primate cones. Science, 143, 1181, 1964.
12. DeValois, R. L, Abramov, I., and Jacobs, G. H. Analysis of response patterns of LGN cells, J. Opt. Soc. Am., 56, 966, 1966.
13. Matthews, P. C. B. Where does Sherrington’s “Muscle Sense” originate? Muscles, joints, corollary discharges? Ann. Rev. Neuroscience, 5, 189, 1982.
14. Georgopoulos, A.P., Kalaska, J.F., Caminiti, R, and Massey, J.T. On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex. J. Neurosci., 2, 1527, 1982.
15. DeSimone, R. Face-Selective Cells in the Temporal Cortex of Monkeys. J. Cog. Neuro., 3, 1, 1991.
16. Erickson, R. P. Parallel “Population “Neural Coding in Feature Extraction. In Schmitt, F. O. and Worden, F. G. (Eds.), The Neurosciences: Third Study Program. New York: Academic Press, 393, 1974.
17. Doetsch, G. S. and Erickson, R. P. Synaptic Processing of Taste-Quality Information in the Nucleus Tractus Solitaius of the Rat. J. Neurophysiol., 33, 490, 1970.
18. Erickson, R. P. Neural coding of taste quality. The Chemical Senses and Nutrition, Kare, M. R. and Mailer, O. (Eds.). The Johns Hopkins Press, Baltimore, 1967, Chap. 22.
19. Smith, C. V. and Vogt, M. B. The neural code and integrative processes of taste. In Tasting and Smelling, Beauchamp, G. K. and Bartochuk, L. M., Academic Press, 1997, Chap. 2.
20. Erickson, R. P. The “across-fiber pattern” theory: An organizing principle for molar neural function. In W. D. Neff (Ed.), Contributions to Sensory Physiology, New York: Academic Press, 1982, vol. 1, 79.
21. Erickson, R. P. A Neural Metric. Neuroscience and Biobehavioral Reviews, 10, 377, 1986.
22. Erickson, R.P., DiLorenzo, P.M., and Woodbury, M.A. Classification of Taste Responses in Brain Stem: Membership in Fuzzy Sets, Journal of Neurophysiology, 71, 2139, 1994.
23. Erickson, R.P., Woodbury, M.A., and. Doetsch, G.S. Distributed Neural Coding Based on Fuzzy Logic, Information Sciences, 95, 103, 1996.
24. Erickson, R.P., Schiffman, S.S., Doetsch, G.S., DiLorenzo, P.M., and Woodbury, M.A. A fuzzy set approach to the organization of the gustatory system. Primary Sensory Neuro., 1,65, 1995.
25. Sugeno, M. and Yasukava, T. A fuzzy-logic-based approach to qualitative modeling, IEEE Transactions on Fuzzy Systems, 1,1, 1993.
26. Widrow, B. and Stearn, S. Theory and Applications of Adaptive Signal Processing, Prentice-Hall, 1985.
27. Hebb, D. O. The Organization of Behavior: A Neuropsychological Theory. New York: Wiley, 1949.
28. Grossberg, S. (Ed.). The Adaptive Brain, vol I and II. Amsterdam: Elsevier/North-Holland, 1987.
29. Kohonen, T. Self-Organization and Associative Memory. New York: Springer Verlag, 1977.
30. Kohonen, T. (1993). Physiological interpretation of the self-organizing map algorithm. Neural Networks, 6, 895, 1993.
31. Buhusi, C.V. and Schmajuk, N.A. Attention, configuration, and hippocampal function. Hippocampus, 6, 221, 1996.
32. Buhusi, C.V., Gray, J.A., and Schmajuk, N.A. The perplexing effects of hippocampal lesions on latent inhibition: A neural network solution. Behavioral Neuroscience, in press.
33. Gray, J.A., Buhusi, C.V., Schmajuk, N.A. The transition from automatic to controlled processing. Neural Networks, 10, 1257, 1997.
34. Rescorla, R. A. and Wagner, A. R. (1972). A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. In A. H. Black and W. F. Prokasy (Eds.), Classical conditioning II. New York: Appleton-Century-Crofts, 1972, 64.
35. Rumelhart, D.E., Hinton, G.E., and Williams, G.E. Learning internal representations by error propagation. In D.E. Rumelhart and J.L. McClelland (Eds.), Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1: Foundations. Cambridge, MA: Bradford Books, MIT Press, 1986.
36. Widrow, B and Hoff, M.E. Adaptive switching circuits. IRE WESCON Convention Record, 96, 1960.
37. Buhusi, C.V. and Evans, D.J. On building a Kohonen net parallel simulator. Journal of Parallel Algorithms and Applications, 2, 229, 1994.
38. Sushmita, M. and Sankar, K.P. Logical operation based fuzzy MPL for classification and rule generation. Neural Networks, 7, 353, 1994.
39. Yager, R.R. Modeling and formulating fuzzy knowledge bases using neural networks. Neural Networks, 7,1273, 1994.
40. Gaal, G. Population coding by simultaneous activities of neurons in intrinsic coordinate systems defined by their receptive field weighting functions. Neural Networks, 6, 499, 1993.
41. Zeki, S. The Visual Image in Mind and Brain. Scientific American, 28, 1992.
42. Buhusi, C.V. On fuzzy image processing. Fuzzy Systems & A.I., 2(2), 48. Romanian Academy Publishing House, Bucharest, 1993.
43. Buhusi, C.V. Dynamic self-organizing fuzzy system for image processing. Advances in Modeling & Analysis, B: Signals, Information, Data, Patterns, 30B(l-2), 55, 1994.
44. Buhusi, C.V. Dynamic fuzzy control. The 2nd European Congress on Intelligent Technologies and Soft Computing EUFIT'94, Aachen, 1408, 1994.
45. Barnes, C. A. Involvement of LTP in memory: Are we “Searching under the streetlight?” Neuron, 15,751,1995.
46. Larkman, A. U. and Jack, J. J. B. Synaptic plasticity. Current Opinion in Neurobiology, 5, 324, 1995.