Abstract
The goals of artificial neural net, ANN, research are several. The very name bespeaks
-
i)
A biological aim. There are a number of examples of straight-forward models of biologicaI systems generated from knowledge about a system’s neural elements and the behavior controlled by that neural system (or speculation regarding such behavior). Outstanding neurophysiological research is the Lettvin-McCulloch (1959) paper ”What the frog’s eye tells the frog’s brain.” This was, of course, based upon the McCulloch-Pitts formal neuron theory that initiated the neural network concept (Fig. 1, left)(McCulloch, 1945; McCulloch and Pitts, 1943). John von Neumann, after meeting McCulloch (on the train station at Princeton Junction), used such neurons to depict the logical design of ALU operators of the EDVAC (Fig. 1, right)(Von Neumann, 1945)
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
R.A. Anderson, G.K. Essick, and R.M. Siegel (1985), “Encoding of spatial location by posterior parietal neurons,” Science vol. 230, pp. 456–458
N. Chomsky (1956), “Three models for the description of language,” I.R.E. Transactions on Information Theory vol. IT-2 pp. 113–124
V. Eliashberg (1981), “The concept of E-machine: On brain hardware and the algorithms of thinking,” Proceedings of the Third Annual Meetings of the Cognitive Science Society pp. 289–291
V. Eliashberg (1989), “Context-sensitive associative memory: ‘Residual excitation’ in neural networks as the mechanism ofSTM and mental set,Proceedings of IJCNN-89 Washington, D.C.
V. Eliashberg (1990), “Universal Learning Neurocomputers,” Proceedings of the Fourth Annual Parallel Processing Symposium April 1990
S. Goodman, and R. Andersen (1989), “Microstimulation of a neuralnetwork model for visually guided saccades,” Journal of Cognitive Neuroscience vol. 1, No.4, pp. 317–326
S. Grossberg (1982), Studies of Mind and Brain, Boston: Reidel Press
J.Y. Lettvin and H. Maturana, W. McCulloch, and W.H. Pitts (1959), “What the frog’s eye tells the frog’s brain,” Proceedings of the I.R.E. vol. 47, No. 11, pp. 1940–1959.
W. McCulloch (1945), “A Heterarchy of values determined by the topology of nervous nets,” Bulletin of Mathematical Biophysics vol. 7 pp. 89–93.
W. McCulloch, and W. Pitts (1943), “A logical calculus of the ideas immanent in nervous activity,” Bulletin of Mathematical Biophysics vol. 5 pp. 115–133.
M. Minsky (1954), “Neural nets and the brain-model problem,” Unpublished doctoral dissertation, Princeton University.
S. Nakauchi, S. Usui, and S. Miyake (1990), “ A three-layered neural network model which simulates color-opponent processing.” Proceedings of the International Conference on Fuzzy Logic and Neural Networks pp. 481–484.
N.J. Nilsson (1965), Learning Machines: Foundations of trainable patternclassifying systems pp. 125 126, California: McGraw-Hill Inc.
M. Okajima, L. Stark, G. Whipple, and S. Yasui (1963), ,“Computer recognition techniques; Some results with real electrocardiographic data,,” IEEE 7ransactions on Biomedical Electronics, BME vol. 10 pp. 106–114.
F. Rosenblatt (1962), Principles of Neurodynamics Washington, D.C.: Spartan Books
D. Sankoff and J.B. Kruskal, editors (1983) Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison Massachusetts: Addison-Wesley Inc.
L. Stark (1961), ,“Pattern recognition for electroencephalographic diagnosis,,” Quart. Prog. Report No 61, Research lab. of Electronics, M.l. T. pp. 215–219.
L. Stark, M. Okajima, and G.H. Whipple (1962), ,“Computer pattern recognition techniques: Electrocardiographic diagnosis,,” Communications of the Association for Computing Machinery vol. 5 pp. 527–532.
L. Stark, and J. Dickson (1965), ,“Remote computerized medical diagnostic systems,,” Computers and Automation vol. 14 pp. 18–21.
S. Usui, S. Nakauchi, and S. Miyake (1993), ,“Acquisition of the coloropponent representation by a three-layered neural network model,,” Proceedings of IEEE Conference
J. Von Neumann (1945), ,“First draft of a report on the EDVAC,,” Contract Report, Moore School of Electrical Engineering, University of Pennsylvania June 30, 1945.
B. Widrow (1962), ,“Generalization and information storage in networks of Adaline neurons,,” in Self-organizing systems, Washington, D.C.: Spartan Books; Cambridge, MA: MIT Press.
S. Yasui, G. Whipple, and L. Stark (1964), ,“Comparison of human and com puter electrocardiographic waveform classification and identification,,” American Heart Journal vol. 68 pp. 236–242.
D. Zipser, and R.A. Andersen (1988), ,“A back-propogation programmed network that simulates response properties of a subset of posterior parietal neurons,,” Nature vol. 331 pp. 697–684, 1988.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1994 Springer-Verlag London Limited
About this paper
Cite this paper
Stark, L.W. (1994). ANNs and MAMFs: Transparency or Opacity?. In: Marinaro, M., Morasso, P.G. (eds) ICANN ’94. ICANN 1994. Springer, London. https://doi.org/10.1007/978-1-4471-2097-1_29
Download citation
DOI: https://doi.org/10.1007/978-1-4471-2097-1_29
Published:
Publisher Name: Springer, London
Print ISBN: 978-3-540-19887-1
Online ISBN: 978-1-4471-2097-1
eBook Packages: Springer Book Archive