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Can brains make psychological sense of neurological data?

Published online by Cambridge University Press:  04 February 2010

Robert Brown
Robert Brown
Affiliation:
Department of Psychology, University of Exeter, Exeter EX4 4QG, England
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Behavioral and Brain Sciences , Volume 10 , Issue 2 , June 1987 , pp. 175 - 176
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Copyright © Cambridge University Press 1987

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References

Abraham, R. H. & Shaw, C. D. (1985) Dynamics, the geometry of behavior, vol. 2. Ariel Press. [aCAS]Google Scholar
Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985). A learning algorithm for Boltzmann machines. Cognitive Science 9:147–69. [RR]Google Scholar
Anderson, J. A., Silverstein, J. W., Ritz, S. A. & Jones, R. S. (1977) Distinctive features, categorical perception, and probability learning: Some applications of a neural model. Psychological Review 84:413–51. [aCAS]CrossRefGoogle Scholar
Arbib, M. A. (1972) The metaphorical brain. Wiley-lnterscience. [DHP]Google Scholar
Ashby, W. R. (1952) Design for a brain. Chapman & Hall. [aCAS, DHP]Google Scholar
Auslander, D., Guckenheimer, J. & Oster, G. (1978) Random evolutionarily stable strategies. Theoretical Population Biology 13:276–93. [AC]CrossRefGoogle ScholarPubMed
Babloyantz, A. & Destexhe, A. (1986) Low-dimensional chaos in an instance of epilepsy. Proceedings of the National Academy of Sciences of the United States of America 83:3513–17. [a CAS, AB]CrossRefGoogle Scholar
Babloyantz, A. & Destexhe, A. (in press) Strange attractors in the human cortex. In: Temporal disorder and human oscillatory systems, ed. Rensing, L, Heiden, U. an der & Maekey, M. C.. Springer. [AB]Google Scholar
Babloyantz, A. & Kaczmarek, L. K. (1981) Self-organization in biological systems with multiple cellular contacts. Bulletin of Mathematical Biology 41:193–201. [rCAS]CrossRefGoogle Scholar
Babloyantz, A., Nicolis, C. & Salazar, M. (1985) Evidence of chaotic dynamics of brain activity during the sleep cycle. Physics Letters 111A:152. [AB]CrossRefGoogle Scholar
Baird, B. (in press) Nonlinear dynamics of pattern formation and pattern recognition in the rabbit olfactory bulb. Physica D. [aCAS]Google Scholar
Barlow, H. B. (1972) Single units and sensation: A neuron doctrine for perceptual psychology? Perception 1:371–94. [aCAS]CrossRefGoogle ScholarPubMed
Bénard, H. (1900) Les tourbillons cellulaires dans une nappe liquide. Revue Générate des Sciences Pures et Appliquées 12:1309–28. [RT]Google Scholar
Bressler, S. (1987a) Relation of olfactory bulb and cortex I: Spatial variation of bulbo-cortical interdependence. Brain Research. 409:285–93. [aCAS]CrossRefGoogle Scholar
Bressler, S. (1987b) Relation of olfactory bulb and cortex II: Model for driving of cortex by bulb. Brain Research. 409:294–301. [aCAS]CrossRefGoogle ScholarPubMed
Brown, T. H., Perkel, D. H. & Feldman, M. W. (1976) Evoked neurotransmitter release: Statistical effects of nonuniformity and nonstationarity. Proceedings of the National Academy of Sciences of the United States of America 73:2913–17. [DHP]CrossRefGoogle ScholarPubMed
Bullock, T. H. & Horridge, G. A. (1965) Structure and function in the nervous systems of invertebrates, vol. 1. W. H. Freeman. [aCAS]Google Scholar
Burns, B. D. (1958) The mammalian cerebral cortex. Edward Arnold. [aCAS]Google Scholar
Cain, W. S. (1980) Chemosensation and cognition. In: Olfaction and taste VII, ed. Van Der Starre, H.. IRL Press. [aCAS]Google Scholar
Carpenter, G. A. & Grossberg, S. (1987) A massively parallel architecture for a self-organizing neural pattern recognition machine. Computer Vision, Graphics, and Image Processing 37:54–115. [SG]CrossRefGoogle Scholar
Chatrian, G. E., Bickford, R. G. & Uihlein, A. (1960) Depth electrographic study of a fast rhythm evoked from human calcarine region by steady illumination. Electroencephalography and Clinical Neurophysiology 12:167–76. [rCAS]CrossRefGoogle ScholarPubMed
Chay, T. R. & Rinzel, J. (1985) Bursting, beating, and chaos in an excitable membrane model. Biophysical Journal 47:357–66. [DHP]CrossRefGoogle Scholar
Churchland, P. S. (1980) A perspective on mind-brain research. Journal of Philosophy 77:185–207. [RB]CrossRefGoogle Scholar
Churchland, P. S. (1986) Neurophilosophy: Toward a unified understanding of the mindbrain. MIT/Bradford. [aCAS]Google Scholar
Cohen, M. A. & Grossberg, S. (1983) Absolute stability of global pattern formation and parallel memory storage by competitive neural networks. IEEE Transactions on Systems, Man, and Cybernetics 13:815–26. [DSL]CrossRefGoogle Scholar
Cohen, M. A. & Grossberg, S. (1986) Neural dynamics of speech and language coding: Developmental programs, perceptual grouping, and competition for short term memory. Human Neurobiology 5:1–22. [SG]Google ScholarPubMed
Conrad, M. (1986) What is the use of chaos? In: Chaos, ed. Holden, A. V.. Manchester University Press. [aCAS]Google Scholar
Cowan, J. D. (1968) Statistical mechanics of nerve nets. In: Neural networks, ed. Caianiello, E. R.. Springer-Verlag. [DHP]Google Scholar
Craik, K. (1952) The nature of explanation. Cambridge University Press. [rCAS]Google Scholar
del Castillo, J. & Katz, B. (1954) Quantal components of the end-plate potential. Journal of Physiology (London) 124:560–73. [DHP]Google Scholar
Demott, D. W. (1970) Toposcopic studies of learning. Charles C. Thomas. [rCAS, RMB]Google Scholar
Dretske, F. (1986) Boston studies in the philosophy of science. Vol. 90: Minds, machines and meaning, philosophy and technology II, ed. Mitcham, C. & Hunning, H.. Reidel. [GW]Google Scholar
Dreyfus, H. L. (1972) What computers can't do. Harper & Row. [RB]Google Scholar
Dreyfus, H. & Dreyfus, S. (1986) Mind over machine. Free Press. [aCAS]Google Scholar
Ellias, S. A. & Grossberg, S. (1975) Pattern formation, contrast control, and oscillations in the short term memory of shunting on-center off-surround networks. Biological Cybernetics 20:69–98. [SG]CrossRefGoogle Scholar
Emery, J. D. & Freeman, W. J. (1969) Pattern analysis of cortical evoked potential parameters during attention changes. Physiology and Behavior 4:60–77. [rCAS]CrossRefGoogle Scholar
Ermentrout, B., Campbell, J. & Oster, G. (1986) A model for shell patterns based on neural activity. Veliger 28(4):369–88. [aCAS]Google Scholar
Farmer, D., Hart, J. & Weidman, P. (1982) A phase space analysis of baroclinic flow. Physics Letters 91A:22–24. [AG]CrossRefGoogle Scholar
Feldman, J. A. & Ballard, D. H. (1982) Connectionist models and their properties. Cognitive Science 6:205–54. [aCAS]CrossRefGoogle Scholar
Feyerabend, P. (1978) Against method. Verso. [GW]Google Scholar
Fienberg, S. E. (1974) Stochastic models for single neurone firing trains: A survey. Biometrics 30:399–427. [DHP]CrossRefGoogle ScholarPubMed
Fodor, J. A. (1983) The modularity of mind: An essay on faculty psychology. Bradford/MIT Press. [rCAS]CrossRefGoogle Scholar
Freeman, W. J. (1972) Waves, pulses and the theory of neural masses. Progress in Theoretical Biology 2:87–165. [arCAS]CrossRefGoogle Scholar
Freeman, W. J. (1975) Mass action in the nervous system. Academic Press. [arCAS]Google Scholar
Freeman, W. J. (1978) Spatial properties of an EEG event in the olfactory bulb and cortex. Electroencephalography and Clinical Neurophysiology-EEG Journal 44:586–605. [aCAS]CrossRefGoogle ScholarPubMed
Freeman, W. J. (1979a) Nonlinear gain mediating cortical stimulus-response relations. Biological Cybernetics 33:237–47. [aCAS]CrossRefGoogle ScholarPubMed
Freeman, W. J. (1979b) Nonlinear dynamics of pleocortex manifested in the olfactory EEG. Biological Cybernetics 35:21–34. [arCAS]CrossRefGoogle ScholarPubMed
Freeman, W. J. (1979c) EEG analysis gives model of neuronal template-matching mechanism for sensory search with olfactory bulb. Biological Cybernetics 35:221–34. [aCAS]CrossRefGoogle ScholarPubMed
Freeman, W. J. (1980) Use of spatial deconvolution to compensate for distortion of EEG by volume conduction. IEEE Transactions on Biomedical Engineering 27:421–29. [aCAS]CrossRefGoogle ScholarPubMed
Freeman, W. J. (1981) A physiological hypothesis of perception. Perspectives in Biology and Medicine 24:561–92. [arCAS]CrossRefGoogle ScholarPubMed
Freeman, W. J. (1983a) Physiological basis of mental images. Biological Psychiatry 18:1107–25. [arCAS]Google ScholarPubMed
Freeman, W. J. (1983b) Dynamics of image formation by nerve cell assemblies. In: Synergetics of the brain, ed. Basar, E.. Flohr, H. & Mandell, A.. Springer-Verlag. [aCAS]Google Scholar
Freeman, W. J. (1986) Petit mal seizure spikes in olfactory bulb and cortex caused by runaway inhibition after exhaustion of excitation. Brain Research Reviews 11:259–84. [aCAS]CrossRefGoogle Scholar
Freeman, W. J. (1987a) Simulation of chaotic EEG patterns with a dynamic model of the olfactory system. Biological Cybernetics 56:139–50. [aCAS]CrossRefGoogle ScholarPubMed
Freeman, W. J. (1987b) Techniques used in the search for the physiological basis of the EEG. In: Handbook of electroencephalography and clinical neurophysiology, vol. 3A, part 2, ch. 18, ed. Gevins, A. & Remond, A.. Elsevier. [arCAS]Google Scholar
Freeman, W. J. & Ahn, S. M. (1976) Spatial and temporal characteristic frequencies of interactive neural masses. Proceedings, Institute of Electronics and Electrical Engineering, International Conference on Proc. IEEE. Intern. Conf. Cybernetics and Society 1–3:279–84 [aCAS]Google Scholar
Freeman, W. J. & Baird, B. (in press) Correlation of olfactory EEG with behavior: Spatial analysis. Behavioral Neuroscience. [aCAS]Google Scholar
Freeman, W. J. & Grajski, K. A. (in press) Correlation of olfactory EEG with behavior: Factor analysis. Behavioral Neuroscience. [aCAS]Google Scholar
Freeman, W. J. & Schneider, W. S. (1982) Changes in spatial patterns of rabbit olfactory EEG with conditioning to odors. Psychophysiology 19:44–56. [arCAS]CrossRefGoogle ScholarPubMed
Freeman, W. J. & Skarda, C. A. (1985) Spatial EEG patterns, nonlinear dynamics and perception: The neo-Sherringtonian view. Brain Research Reviews 10:147–75. [arCAS]CrossRefGoogle Scholar
Freeman, W. J. & Van Dijk, B. (submitted) Spatial patterns of visual cortical fast EEG during conditioned reflex in a rhesus monkey. [aCAS]Google Scholar
Freeman, W. J. & Viana Di Frisco, G. (1986a) EEG spatial pattern differences with discriminated odors manifest chaotic and limit cycle attractors in olfactory bulb of rabbits. In: Brain theory, ed. Palm, G.. Springer-Verlag. [aCAS]Google Scholar
Freeman, W. J. & Viana Di Frisco, G. (1986b) Correlation of olfactory EEG with behavior: Time series analysis. Behavioral Neuroscience 100:753–63. [arCAS]CrossRefGoogle Scholar
Froehling, H., Crutchfield, J., Farmer, D., Packard, N. & Shaw, R. (1981) On determining the dimension of chaotic flows. Physica 3D:605–17. [AG]Google Scholar
Garfinkel, A. (1983) A mathematics for physiology. American Journal of Physiology 245: (Regulatory, Integrative and Comparative Physiology) 14:R455–66. [arCAS]Google ScholarPubMed
Gauld, A. & Shotter, J. (1977) Human action and its psychological investigation. Routledge & Kegan Paul. [RB]Google Scholar
Gerstein, G. L. & Mandelbrot, B. (1964) Random walk models for the spike activity of a single neuron. Biophysical Journal 4:41–68. [DHP]CrossRefGoogle ScholarPubMed
Gibson, J. J. (1979) The ecological approach to visual perception. Houghton Mifflin. [aCAS]Google Scholar
Class, L. & Mackey, M. (1979) Pathological conditions resulting from instabilities in physiological control systems. Annals of New York Academy of Sciences 316:214–35. [AG]Google Scholar
Gonzalez-Estrada, M. T. & Freeman, W. J. (1980) Effects of carnosine on olfactory bulb EEG, evoked potential and DC potentials. Brain Research 202:373–86. [rCAS]CrossRefGoogle ScholarPubMed
Goodman, N. (1968) Languages of art: An approach to a theory of symbols. Bobbs-Merrill. [JAB]Google Scholar
Grajski, K., Breiman, L., Viana Di Frisco, G. & Freeman, W. J. (in press) Classification of EEG spatial patterns with a tree-structured methodology: CART [Classification and regressive trees). IEEE Transactions in Biomedical Engineering. [aCAS]Google Scholar
Grassberger, P. (1986) Do climatic attractors exist? Nature 323:609–12. [AG]CrossRefGoogle Scholar
Grassberger, P. & Procaccia, I. (1983) Measuring the strangeness of strange attractors. Physica 9D:189–208. [aCAS]Google Scholar
Gray, C. M. (1986) Centrifugal regulation of olfactory coding and response plasticity in the olfactory bulb of the conscious rabbit. Ph.D. thesis, Baylor University. [aCAS]Google Scholar
Gray, C. M., Freeman, W. J. & Skinner, J. E. (1986) Chemical dependencies of learning in the rabbit olfactory bulb: Acquisition of the transient spatial-pattern change depends on norepinephrine. Behavioral Neuroscience 100:585–96. [arCAS]CrossRefGoogle ScholarPubMed
Grossberg, S. (1975) A neural model of attention, reinforcement, and discrimination learning. International Review of Neurobiology 18:263–327. [DSL]CrossRefGoogle ScholarPubMed
Grossberg, S. (1976) Adaptive pattern classification and universal receding. 11: Feedback, expectation, olfaction, and illusions. Biological Cybernetics 23:187–202. [rCAS]CrossRefGoogle Scholar
Grossberg, S. (1980) How does the brain build a cognitive code? Psychological Review 87:1–51. [aCAS, DSL]CrossRefGoogle ScholarPubMed
Grossberg, S. (1981) Adaptive resonance in development, perception, and cognition. In: Mathematical psychology and psychophysiology, ed. Grossberg, S.. American Mathematical Society. [rCAS, SG]Google Scholar
Grossberg, S. (1982a) Studies of mind and brain: Neural principles of learning, perception, development, cognition, and motor control. Reidel. [SG]CrossRefGoogle Scholar
Grossberg, S. (1982b) Processing of expected and unexpected events during conditioning and attention: A psychophysiological theory. Psychological Review 89:529–72. [DSL]CrossRefGoogle ScholarPubMed
Grossberg, S. (1983) Neural substrates of binocular form perception: Filtering, matching, diffusion, and resonance. In: Synergetics of the brain, ed. Basar, E., Flohr, H., Haken, H. & Mandell, A. J.. Springer-Verlag. [SG]Google Scholar
Grossberg, S. (1987a) The adaptive brain. I: Cognition, learning, reinforcement, and rhythm. Elsevier/North-Holland. [SG]Google Scholar
Grossberg, S. (1987b) The adaptive brain, II: Vision, speech, language, and motor control. Elsevier/North-Holland. [SG]Google Scholar
Grossberg, S. & Levine, D. S. (submitted) Neural dynamics of attentionally modulated Pavlovian conditioning: Blocking, interstimulus interval, and secondary reinforcement. [DSL]Google Scholar
Grossberg, S. & Stone, G. O. (1986) Neural dynamics of word recognition and recall: Attentional priming, learning, and resonance. Psychological Review 93:46–74. [SG]CrossRefGoogle ScholarPubMed
Guckenheimer, J. & Holmes, P. (1983). Dynamical systems and bifurcations of vector fields. Springer. [RT]CrossRefGoogle Scholar
Hebb, D. D. (1949) The organization of behavior. Wiley. [arCAS]Google Scholar
Hinton, G. (1985) Learning in parallel networks. Byte 10:265. [aCAS]Google Scholar
Hinton, G. & Anderson, J. A. (1981) Parallel models of associative memory. Erlbaum. [aCAS]Google Scholar
Holden, A. V. ed. (1986) Chaos. Manchester University Press. [rCAS]CrossRefGoogle Scholar
Hopfield, J. J. (1982) Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences of the United States of America [arCAS, RR]Google Scholar
Hopfield, J. J. & Tank, D. W. (1986) Computing with neural circuits: A model. Science 233:625–33. [aCAS, DSL, DHP]CrossRefGoogle ScholarPubMed
Julesz, B. (1984) A brief outline in the texton theory of human vision. Trends in Neuroscience 7:41–45. [arCAS]CrossRefGoogle Scholar
Kaczmarek, L. K. & Babloyantz, A. (1977) Spatiotemporal patterns in epileptic seizures. Biological Cybernetics 26:199. [AB]CrossRefGoogle ScholarPubMed
Kohonen, T. (1984) Self-organization and associative memory. Springer-Verlag. [aCAS, JAB]Google Scholar
Lancet, D., Greer, C. A., Kauer, J. S. & Shepherd, G. M. (1982) Mapping of odor-related neuronal activity in the olfactory bulb by high-resolution 2-deoxyglueose autoradiography. Proceedings of the National Academy of Sciences of the United States of America 79:670–74. [aCAS]CrossRefGoogle ScholarPubMed
Lashley, K. S. (1942) The problem of cerebral organization in vision. In: Biological Symposia Vii, ed. Cartel, J.. Cattel, J. Press. [rCAS]Google Scholar
Layne, S. P., Mayer-Kress, G. & Holzfuss, J. (1986) Problems associated with dimensional analysis of EEG data. In: Dimensions and entropies in chaotic systems, ed. Mayer-Kress, G.. Springer. [AB]Google Scholar
Levine, D. S. (1986) A neural network model of temporal order effects in classical conditioning. In: Modelling of biomedical systems, ed. Eisenfeld, J. & Witten, M.. Elsevier. [DSL]Google Scholar
Lilly, J. C. & Cherry, R. B. (1951) Traveling waves of action and of recovery during responses and spontaneous activity in the cerebral cortex. American Journal of Physiology 167:806. [RMB]Google Scholar
Lilly, J. C. & Cherry, R. B. (1954) Surface movements of click responses from acoustical cerebral cortex of cat: Leading and trailing edges of a response figure. Journal of Neurophysiology 17:521–32. [RMB]CrossRefGoogle ScholarPubMed
Lilly, J. C. & Cherry, R. B. (1955) Surface movements of figures in spontaneous activity of anesthetized cortex: Leading and trailing edges. Journal of Neurophysiology 18:18–32. [rCAS]CrossRefGoogle ScholarPubMed
Livanov, M. N. (1977) Spatial organization of cerebral processes. Wiley. [rCAS]Google Scholar
Lorente De Nó, R. (1934) Studies in the structure of the cerebral cortex. I: The area entorhinalis. Journal von Psychologic und Neurologie 45:381–438. [rCAS]Google Scholar
Lorenz, E. (1963) Deterministic nonperiodic flow. Journal of Atmospheric Sciences 20:130–41. [AG]2.0.CO;2>CrossRefGoogle Scholar
Mandell, A. J. (1986) Complexity versus disorder in the cardiac monitoring problem: A four-minute warning. Technical report, Mathematics Institute, University of Warwick. Coventry, England. [DHP]Google Scholar
Marr, D. (1982) Vision. Freeman. [DCE]Google Scholar
Marr, D. & Poggio, T. (1976) Cooperative computation of stereo disparity. Science 194:283–87. [DCE]CrossRefGoogle ScholarPubMed
Martinez, D. M. & Freeman, W. J. (1984) Periglomerular cell action on mitral cell in olfactory bulb shown by current source density analysis. Brain Research 308:223–33. [aCAS]CrossRefGoogle ScholarPubMed
Maturana, H. R. & Varela, F. J. (1980) Boston studies in the philosophy of science. Vol. 42: Autopoiesis and cognition, ed. Cohen, R. S. & Wartofsky, M. W.. Reidel. [GW]CrossRefGoogle Scholar
May, R. M. (1976) Simple mathematical models with very complicated dynamics. Nature 261:459–67. [DHP]CrossRefGoogle ScholarPubMed
McClelland, J. L. & Rumelhart, D. E. (1981) An interactive activation model of context effects in letter perception: Part 1. Psychological Review 88:375–407. [JAB]CrossRefGoogle Scholar
McCulloch, W. S. & Pitts, W. H. (1943) A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 5:115–33. [DHP]CrossRefGoogle Scholar
Misgeld, U., Deisz, R., Dodt, H. & Lux, H. (1986) The role of chloride transport in postsynaptic inhibition of hippocampal neurons. Science 232:1413–15. [aCAS]CrossRefGoogle ScholarPubMed
Moore, G. P., Perkel, D. H. & Segundo, J. P. (1966) Statistical analysis and functional interpretation of neuronal spike data. Annual Review of Physiology 28:493–522. [DHP]CrossRefGoogle Scholar
Moulton, D. G. (1976) Spatial patterning of response to odors in the peripheral olfactory system. Physiological Reviews 56:578–93. [aCAS]CrossRefGoogle ScholarPubMed
Mpitsos, G. J. & Cohan, C. S. (1986) Convergence in a distributed nervous system: Parallel processing and self-organization. Journal of Neurobiology 17:517–45. [DHP]CrossRefGoogle Scholar
Newberry, N. & Nicoll, R. (1985) Comparison of the action of baclofen with y-aminobutyric acid on rat hippocampal pyramidal cells in vitro. Journal of Physiology 360:161–85. [aCAS]CrossRefGoogle Scholar
Nicolis, J. S. (1985a) Hierarchical systems. Springer. [AB]Google Scholar
Nicolis, J. S. (1985b) Chaotic dynamics of information processing with relevance to cognitive brain functions. Kybernetes 14:167–73. [rCAS]CrossRefGoogle Scholar
Nicolis, J. S. & Tsuda, I. (1985) Chaotic dynamics of information processing: The “magic number seven plus-minus two” revisited. Bulletin of Mathematical Biology 47:343–65. [rCAS]Google ScholarPubMed
Oono, Y. & Kohmoto, M. (1985) Discrete model of chemical turbulence. Physical Review Letters 55:2927–31. See especially the references to the work of Kuramoto, , Yamada, et al. , most of which has been published in the journal Progress in Theoretical Physics over the past decade. [MAC]CrossRefGoogle ScholarPubMed
Pellionisz, A. & Llinás, R. (1979) Brain modeling by tensor network theory and computer simulation. The cerebellum: Distributed processor for predictive coordination. Neuroscience 4:323–48. [DHP]CrossRefGoogle ScholarPubMed
Perkel, D. H. & Bullock, T. H. (1968) Neural coding. Neurosciences Research Program Bulletin 6:221–348. [aCAS]Google Scholar
Perkel, D. H., Gerstein, G. L. & Moore, G. P. (1967a) Neuronal spike trains and stochastic point processes. I. The single spike train. Biophysical Journal 7:391–418. [DHP]CrossRefGoogle ScholarPubMed
Perkel, D. H., Gerstein, G. L. & Moore, G. P. (1967b) Neuronal spike trains and stochastic point processes. II.Google Scholar
Simultaneous spike trains. Biophysical Journal 7:419–40. [DHP]CrossRefGoogle Scholar
Pylyshyn, Z. W. (1984) Computation and cognition: Toward a foundation for cognitive science. Bradford Books/MIT Press. [aCAS]Google Scholar
Rapp, P. E., Zimmerman, I. D., Albano, A. M., Deguzman, G. C. & Greenbaun, N. N. (1985) Dynamics of spontaneous neural activity in the simian motor cortex. Physics Letters 110A:335. [AB]CrossRefGoogle Scholar
Rayleigh, Lord (John William Strutt) (1916) Philosophical Magazine 32:529–46. [RT]Google Scholar
Riemann, B. (1902) Cesammelte Werke, Nachträge. Teubner. [RT]Google Scholar
Roschke, J. & Basar, E. (in press) EEG is not a simple noise. Strange attractors in intercranial structures. In: Dynamics of sensory and cognitive signal processing in the brain, ed. Basar, E.. Springer. [AB]Google Scholar
Rosenblatt, F. (1962) Principles of neurodynamics, perceptrons and the theory of brain mechanisms. Spartan. [aCAS, DHP]Google Scholar
Rössler, O. E. (1983) The chaotic hierarchy. Zeitschrift fur Naturforschung. 38A:788–802. [arCAS]CrossRefGoogle Scholar
Ruelle, D. & Takens, F. (1971) On the nature of turbulence. Communications in Mathematical Physics 20:167 [RT]CrossRefGoogle Scholar
Rumelhart, D. E., Hinton, G. E. & Williams, R. J. (1986) Learning representations by back-propagating errors. Nature 323:533–36. [DHP]CrossRefGoogle Scholar
Rumelhart, D., McClelland, J. L. & PDP Research Group (1986) Parallel distributed processing: Explorations in the microstructures of cognition, vol. I: Foundations. MIT/Bradford. (arCAS]Google Scholar
Sampath, G. & Srinivasan, S. K. (1977) Stochastic models for spike trains of single neurons. Springer-Verlag. [DHP]CrossRefGoogle Scholar
Schuster, H. (1984) Deterministic chaos: An introduction. Physik-Verlag. [aCAS, RB]Google Scholar
Searle, J. R. (1980) Minds, brains, and programs. Behavioral and Brain Sciences 3:417–57. [RB]CrossRefGoogle Scholar
Shaw, G. L., Silverman, D. J. & Pearson, J. C. (1985) Model of cortical organization embodying a basis for a theory of information processing and memory recall. Proceedings of the National Academy of Sciences of the United States of America 82:2364–68. [DHP]CrossRefGoogle ScholarPubMed
Shaw, R. (1984) The Dripping Faucet as a Model Chaotic System. Ariel Press. [rCAS]Google Scholar
Sheer, D. (1976) Focused arousal and 40 Hz EEG. In: The neuropsychology of learning disorders: Theoretical approaches, ed. Knights, R. M. & Baker, D. J., University Park Press. [rCAS]Google Scholar
Shepherd, G. M. (1972) Synaptic organization of the mammalian olfactory bulb. Physiological Review 52:864–917. [aCAS]CrossRefGoogle ScholarPubMed
Sherrington, C. (1906) The integrative action of the nervous system. Yale University Press. [rCAS]Google Scholar
Sherrington, C. (1940) Man on his nature (rev. ed. 1953). Cambridge University Press. [DHP]Google Scholar
Skarda, C. A. (1986) Explaining behavior: Bringing the brain back in. Inquiry 29:187–202. [aCAS]CrossRefGoogle Scholar
Thom, R. (1981) Morphologie du sémiotique, recherches sémiotiques. Semiotic Inquiry 1:301–10. [RT]Google Scholar
Turner, J. S., Roux, J. C., McCormick, W. D. & Swinney, H. L. (1981) Alternating periodic and chaotic regimes in a chemical reaction — experiment and theory. Physics Letters 85A:9–14 [AC]CrossRefGoogle Scholar
Viana Di Prisco, G. (1984) Hebb synaptic plasticity. Progress in Neurobiology 22:89–102. [aCAS]CrossRefGoogle ScholarPubMed
Viana Di Prisco, G. & Freeman, W. J. (1985) Odor-related bulbar EEG spatial pattern analysis during appetitive conditioning in rabbits. Behavioral Neuroscience 99:964–78. [aCAS]CrossRefGoogle Scholar
Von Neumann, J. (1958) The computer and the brain. Yale University Press. [rCAS, DHP]Google Scholar
Waddington, C. H. (1957) The strategy of the genes. Allen and Unwin. [RT]Google Scholar
Walter, W. G. (1953) The living brain. Norton. [arCAS]Google Scholar
Whitehead, A. N. (1960) Process and reality. Harper & Row. [rCAS, RT]Google Scholar
Willey, T. J. (1973) The untrastructure of the cat olfactory bulb. Journal of Comparative Neurology 152:211–32. [aCAS]CrossRefGoogle Scholar
Wilson, D. A., Sullivan, R. M. & Leon, M. (1985) Odor familiarity alters mitral cell response in the olfactory bulb of neonatal rats. Developmental Brain Research 22:314–17. [rCAS, DHP]CrossRefGoogle Scholar
Winfree, A. T. (1980) The geometry of biological time (section 8D). Springer-Verlag. [MAC]CrossRefGoogle Scholar
Wolfram, S. (1984) Cellular automata as models of complexity. Nature 311:419–24. [DHP]CrossRefGoogle Scholar
Zucker, R. S. (1973) Changes in the statistics of transmitter release during facilitation. Journal of Physiology (London) 241:69–89. [DHP]CrossRefGoogle Scholar