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Neural Network Models of Categorical Perception

By R.I. Damper and S.R. Harnad


Studies of the categorical perception (CP) of sensory continua have a long and rich history in psychophysics. In 1977, Macmillan et al. introduced the use of signal detection theory to CP studies. Anderson et al. simultaneously proposed the first neural model for CP, yet this line of research has been less well explored. In this paper, we assess the ability of neural-network models of CP to predict the psychophysical performance of real observers with speech sounds and artificial/novel stimuli. We show that a variety of neural mechanisms is capable of gen-erating the characteristics of categorical perception. Hence, CP may not be a special mode of perception but an emergent property of any sufficiently powerful general learning system

Topics: Neural Nets, Perceptual Cognitive Psychology
Year: 2000
DOI identifier: 10.3758/bf03206927
OAI identifier:

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  1. (1991). A computational model of afferent neural activity from the cochlea to the dorsal acoustic stria.
  2. (1964). A cross-language study of voicing in initial stops.
  3. (1978). A mathematical theory on formation of category detecting neurons.
  4. (1968). A memory storage model utilizing spatial correlation functions.
  5. (1971). A model of the mechanisms for speech perception – quantitative analysis of categorical effects in discrimination.
  6. (1989). A specialization for speech perception.
  7. (1963). A threshold theory for simple detection experiments.
  8. (1992). ALCOVE: An exemplar-based connectionist model of category learning.
  9. (1998). An exemplar-based account of emergent phonetic categories.
  10. (1995). An introduction to neural networks.
  11. (1977). Associative memory: A system theoretic approach.
  12. (1986). Attractor dynamics and parallelism in a connectionist sequential machine.
  13. (1998). Auditory representations of speech sounds in a neural model: The role of peripheral processing.
  14. (1991). Categorical perception and the evolution of supervised learning in neural nets. In
  15. (1998). Categorical perception effects induced by category learning.
  16. (1996). Categorical perception of novel dimensions.
  17. (1982). Categorical results do not imply categorical perception.
  18. (1982). Context independence and phonetic mediation in categorical perception.
  19. (1998). Depolarizing the perceptual magnet effect.
  20. (1976). Discriminability, response bias, and phoneme categories in discrimination of voice onset time. doi
  21. (1970). Discrimination along the voicing continuum: Cross-language tests.
  22. (1977). Distinctive features, categorical perception, and probability learning: Some applications for a neural model.
  23. (1998). Emergence: From chaos to order.
  24. (1983). Enhanced discriminability at the phonetic boundaries for the place feature in macaques.
  25. (1986). Exploiting lawful variability in the speech wave. In
  26. (2000). Extracting phonetic knowledge from learning systems: Perceptrons, support vector machines and linear discriminants.
  27. (1990). Finding structure in time.
  28. (1991). Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system.
  29. (1995). Handbook of brain theory and neural networks.
  30. (1991). Human adults and human infants show a “perceptual magnet effect” for the prototypes of speech categories, monkeys do not.
  31. (1959). Individual choice behavior.
  32. (1994). Influences of categorization on perceptual discrimination.
  33. (1995). Learned categorical perception in neural nets: Implications for symbol grounding. In V. Honavar & L. Uhr (Eds.), Symbol processors and connectionist network models in artificial intelligence and cognitive modeling: Steps towards principled integration
  34. (1988). Learning the hidden structure of speech.
  35. (1988). Making a mind versus modeling the brain: Artificial intelligence back at a branchpoint.
  36. (1995). Mapping the perceptual magnet effect for speech using signal detection theory and multidimensional scaling.
  37. (1977). Neural models with cognitive implications. In
  38. (1992). Neural nets tested by psychophysical methods.
  39. (1989). Neural networks and principal component analysis: Learning from examples without local minima.
  40. (1987). On the categorization of speech sounds. In
  41. (1969). On the modes and mechanisms of speech perception.
  42. (1981). Parallel models of associative memory.
  43. (1967). Perception of the speech code.
  44. (1998). Perceptual learning.
  45. (1979). Perceptual origins of the phoneme boundary effect and selective adaptation to speech: A signal detection theory analysis.
  46. (1975). Probit analysis: A statistical treatment of the sigmoid response curve (3rd edition).
  47. (1978). Reply to Grossberg.
  48. (1990). Representation of initial stop consonants in a computational model of the dorsal cochlear nucleus (Tech.
  49. (1966). Signal detection theory and psychophysics.
  50. (1989). Simple minds.
  51. (1958). Some cues for the distinction between voiced and voiceless stops in initial position.
  52. (1970). Some experiments on speech perception and a model for the perceptual mechanism.
  53. (1978). Speech perception by the chinchilla: Identification functions for synthetic VOT stimuli.
  54. (1996). Speech: A special code.
  55. (1978). Tables of d n for variable standard discrimination paradigms.
  56. (1957). The discrimination of speech sounds within and across phoneme boundaries.
  57. (1962). The identification and discrimination of synthetic vowels.
  58. (1985). The motor theory of speech perception revised.
  59. (1992). The role of F1 transitions in the perception of voicing
  60. (1987). The special-mechanisms debate in speech research: Categorization tests on animals and infants. In
  61. (1970). The voicing dimension: Some experiments in comparative phonetics.
  62. (1978). Variations on a theme by Lashley: Lesion experiments with the neural model of Anderson, Silverstein, Ritz and Jones. doi
  63. (1977). Vowel pre-processing with a neurally based model.

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