Modelling Reaction Times

  • John A. Bullinaria
Conference paper
Part of the Workshops in Computing book series (WORKSHOPS COMP.)

Abstract

We discuss the simulation of reaction times in connectionist systems. The obvious way to do this involves thinking in terms of neural activations building up towards some threshold in cascaded systems, but it has also been suggested that the output activation error scores in standard back-propagation networks should also be correlated with response times. The idea is that in the more realistic cascaded processing systems, the clearer the outputs (i.e. the lower the errors), the lower the time taken to reach the threshold. If this is correct and we can consider our simple feedforward networks to be reasonable approximations to these cascaded systems, then we have an easy way to simulate reaction times. However, the validity of this has been questioned. I will discuss these issues in some detail, suggest a more principled way of extracting simulated reaction times from back-propagation networks and show how this relates to the corresponding cascaded networks.

Keywords

Lime Dyslexia 

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References

  1. 1.
    McClelland, J.L. (1979). On the time relations of mental processes: An examination of systems of processing in cascade. Psychological Review, 86, 287–330.CrossRefGoogle Scholar
  2. 2.
    Dell, G.S. (1986). A Spreading-Activation Theory of Retrieval in Sentence Production, Psychological Review, 93, 283–321.CrossRefGoogle Scholar
  3. 3.
    McClelland, J.L. and Rumelhart, D.E. (1981). An Interactive Activation Model of Context Effects in Letter Perception: Part 1. An Account of Basic Findings, Psychological Review, 88, 375–407.CrossRefGoogle Scholar
  4. 4.
    Rumelhart, D.E. and McClelland, J.L. (1982). An Interactive Activation Model of Context Effects in Letter Perception: Part 2. The Contextual Enhancement Effect and Some Tests and Extensions of the Model, Psychological Review, 89, 60–94.Google Scholar
  5. 5.
    Cohen, J., Dunbar, K. & McClelland (1990). On the control of automatic processes: A parallel distributed processing model of the Stroop task, Psychological Review, 97, 332–361.CrossRefGoogle Scholar
  6. 6.
    Norris, D. (1993). A quantitative model of reading aloud, Technical report, MRC APU, Cambridge.Google Scholar
  7. 7.
    Bullinaria, J.A. (1994). Representation, Learning, Generalization and Damage in Neural Network Models of Reading Aloud, Submitted.Google Scholar
  8. 8.
    Sejnowski, T.J. and Rosenberg, C.R. (1987). Parallel Networks that Learn to Pronounce English Text, Complex Systems, 1, 145–168.MATHGoogle Scholar
  9. 9.
    Seidenberg, M.S. & McClelland, J.L. (1989). A distributed, developmental model of word recognition and naming, Psychological Review, 96, 523–568.CrossRefGoogle Scholar
  10. 10.
    Taraban, R. & McClelland, J.L. (1987). Conspiracy Effects in Word Pronunciation, Journal of Memory and Language, 26, 608–631.CrossRefGoogle Scholar
  11. 11.
    Waters, G.S. & Seidenberg, M.S. (1985). Spelling-sound effects in reading: Time-course and decision criteria, Memory & Cognition, 12093, 557–572.CrossRefGoogle Scholar
  12. 12.
    Glushko, R.J. (1979). The Organization and Activation of Orthographic Knowledge in Reading Aloud, Journal of Experimental Sciences: Human Perception and Performance, 5, 674–691.CrossRefGoogle Scholar
  13. 13.
    Meyer, D.E., Schvaneveldt, R.W. & Ruddy, M.G. (1974). Functions of graphemic and phonemic codes in visual word-recognition. Memory & Cognition, 2, 309–321.CrossRefGoogle Scholar
  14. 14.
    Tanenhaus, M.K., Flanigan, H.P. & Seidenberg, M.S. (1980). Orthographic and phonological activation in auditory and visual word recognition. Memory & Cognition, 8, 513–520.CrossRefGoogle Scholar
  15. 15.
    Wickelgren, W.A. (1977). Speed-accuracy tradeoff and information processing dynamics, Acta Psychologica, 41, 67–85.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London 1995

Authors and Affiliations

  • John A. Bullinaria
    • 1
  1. 1.Department of PsychologyUniversity of EdinburghEdinburghUK

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