Abstract
It is a standard notion that a complex system may be analyzed by being decomposed into a set of interacting subsystems. Such a decomposition succeeds insofar as we can understand the relation between the inputs and outputs of each individual subsystem, and insofar as the interactions between the subsystems can be explained via suitable connections between various of their inputs and outputs, without further analysis of variables internal to the subsystems. Suci a decomposition is structural to the extent that the subsystems can be mapped onto physical substructures of a physical structure embodying the overall system. In this section, I show that neuroscientists have long sought structural decompositions of the brain, and in some cases referred to the physical substructures as modules. Recently, Fodor has popularized the use of the term ‘module’ to denote a unit in a functional decomposition of a cognitive system, but a subsystem that meets constraints beyond those specified above. I shall argue that Fodor’s analysis of cognitive systems is flawed and that the restrictions he introduces are not useful. Consequently, I shall use the term ‘module’ as a synonym for the term ‘subsystem’ defined above.
Preparation of this paper was supported in part by NIH NS14971. This is a revised version of a paper which has appeared in Jay L. Garfield (ed) (1987) Modularity in Knowledge Representation and Natural-Language Understanding, MIT Press.
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Notes
M.E. Scheibel and A.B. Scheibel (1958) `Structural Substrates for Integrative Patterns in the Brain Stem Reticular Core’, Reticular Formation of the Brain, H.H. Jasper et al. (eds.), Little, Brown and Company, Boston, pp. 407–434.
W.L. Kilmer, W.S. McCulloch and J. Blum (1969) `A Model of the Vertebrate Central Command System’, International Journal of Man-Machine Studies I, pp. 279–309.
W.H. Pitts and W.S. McCulloch (1947) `How We Know Universals, the Perception of Auditory and Visual Forms’, Bulletin of Mathematical BiophysicsIX, pp. 127–147.
J.Y. Lettvin, H. Maturana, W.S. McCulloch and W.H. Pitts (1959) `What the Frog’s Eye Tells the Frog’s Brain’, Proceedings of the Institute of Radio Engineers 1959 XLVII, pp. 1940–1959.
T.P.S. Powell and V.B. Mountcastle (1959) `Some Aspects of the Functional Organization of the Cortex of the Post Central Gyrus of the Monkey: A Correlation of Findings Obtained in a Single Unit Analysis with Cytoarchitecture’, Bulletin of Johns Hopkins Hospital CV, pp. 133–162.
D.H. Hubel and T.N. Wiesel (1974) `Sequence Regularity and Geometry of Orientation Columns in the Monkey Striate Cortex’, Journal of Comparative Neurology CLVIII, pp. 267–294.
J. Szentâgothai and M.A. Arbib (1974) `Conceptual Models of Neural Organization’, Neuroscience Research Program BulletinXII, No. 3, pp. 310–479.
V.B. Mountcastle (1978) ‘An Organizing Principle for Cerebral Function: The Unit Module and the Distributed System’, The Mindful Brain, G.M. Edelman and V.B. Mountcastle, MIT Press, Cambridge, Mass.
J. Fodor (1983) Modularity of Mind, MIT, Cambridge, Mass., p. 13.
Ibid. p. 40.
Ibid. p. 21 and p. 37.
Ibid. p. 21.
Ibid. Section III. 5.
Ibid. p. 41.
Ibid. p. 42.
Ibid. p. 45.
Ibid. p. 101.
Ibid. p. 102.
Ibid. p. 103.
Ibid. p. 20.
M.A. Arbib (1972) The Metaphorical Brain: An Introduction to Cybernetics as Artificial Intelligence and Brain Theory, Wiley-interscience, New York.
M.A. Arbib (1972) The Metaphorical Brain: An Introduction to Cybernetics as Artificial Intelligence and Brain Theory, Wiley-interscience, New York.
M.A. Arbib, T. Iherall and D.M. Lyons (1985) `Coordinated Control Programs for Movements of the Hand’ Experimental Brain Research SupplementX, pp. 111–129.
M.A. Arbib, E.J. Conklin and J.C. Hill (1986) From Schema Theory to Language, Oxford University Press.
M.A. Arbib, C.C. Boylls and P. Dev (1974) `Neural Models of Spatial Perception and the Control of Movement’, Cybernetics and Bionics, W.D. Keidel, W. Handler and M. Spreng (eds.), Oldenbourg, Munich, pp. 216–231.
P. Dev (1975) `Perception of Depth Surfaces in Random-Dot Stereograms: A Neural Model’, International Journal of Man-Machine Studies VII, pp. 141–202.
S. Amari and M.A. Arbib (1977) `Competition and Cooperation in Neural Nets’, Sstems Neuroscience, J. Metzler (ed.), Academic Press, New York, pp. 119–165.
D. Marr and T. Poggio (1976) `Cooperative Computation of Stereo Disparity’, Science CXCIV, pp. 283–287.
D. Marr (1982) Vision: A Computational Investigation into the Human Representation and Processing of Visual Information, W.H. Freeman and Co.
D.H. House (1984) `Neural Models of Depth Perception in Frog and Toad; Ph. D. Dissertation, Department of Computer and Information Science, Technical Report 82–16, University of Massachusetts at Amherst.
See op. cit. (note 4).
H. Barlow (1953) `Summation and Inhibition in the Frog’s Retina’, Journal of Physiol-ogy CXIX, pp. 69–88.
J.P. Ewert (1976) `The Visual System of the Toad: Behavioral and Physiological Studies on a Pattern Recognition System’, The Amphibian Visual System: A Multidisciplinary Approach, K. Fite (ed.), Academic Press, New York, pp. 141–202.
J.P. Ewert and W. von Seelen (1974) `Neurobiologie und System-Theorie eines visuellen Muster-Erkennungsmechanismus bei Kröten’, Kybernetic, XIV, pp. 167–183.
F. Cervantes-Perez, R. Lara and M.A. Arbib (1985) ‘A Neural Model of Interactions Subserving Prey-Predator Discrimination and Size Preference in Anurans’, Journal of Theoretical Biology CXIII, pp. 117–152.
R. Lara, M.A. Arbib and A.S. Cromarty (1982) ‘The Role of the Tectal Column in Facilitation of Amphibian Prey-Catching Behavior: A Neural Model’, Journal of Neuroscience II, pp. 521–530.
G. Székely and G. Lâzâr (1976) ‘Cellular and Synaptic Architecture of the Optic Tectum’, Frog Neurobiology, R. Llinas and W. Precht (eds.), Springer-Verlag, pp. 407–434.
See op. cit. (note 35), See also M.A. Arbib (1981) Perceptual Structures and Distributed Motor Control’, Handbook of Physiology - The Nervous System. Il. Motor Control. V.B. Brooks (ed.) American Physiological Society, pp. 1449–1480.
M.A. Arbib (1987) ‘Levels of Modelling of Neural Mechanism Underlying Visuomotor Coordination’, Behavioural and Brain Sciences, X, pp. 407–465.
See op. cit. (note 39).
E.M. Riseman and A.R. Hanson (1987) ‘A Methodology for the Development of General Knowledge-Based Systems’, Vision, Brain and Cooperative Computation, M.A. Arbib and A.R. Hanson (eds.), MIT, Mass., pp. 285–328.
See op. cit. (note 9), p. 104.
Ibid. p. 104.
Ibid. pp. 107–8.
Ibid. pp. 110–111.
Ibid. p. 112.
Ibid. pp. 94–5.
Ibid. p. 103; p. 139 note 43.
Ibid. p. 137.
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Arbib, M.A. (1989). Modularity, Schemas and Neurons: A Critique of Fodor. In: Slezak, P., Albury, W.R. (eds) Computers, Brains and Minds. Australasian Studies in History and Philosophy of Science, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-1181-9_9
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