A Cortical Network Model of Cognitive Attentional Streams, Rhythmic Expectation, and Auditory Stream Segregation

  • Bill Baird


We have developed a neural network architecture that implements a theory of attention, learning, and trans-cortical communication based on adaptive synchronization of 5–15 Hz and 30–80 Hz oscillations between cortical areas. Here we present a specific higher order cortical model of attentional networks, rhythmic expectancy, and the interaction of higher-order and primary cortical levels of processing. It accounts for the “mismatch negativity” of the auditory ERP and the results of psychological experiments of Jones showing that auditory stream segregation depends on the rhythmic structure of inputs. The timing mechanisms of the model allow us to explain how relative timing information such as the relative order of events between streams is lost when streams are formed. The model suggests how the theories of auditory perception and attention of Jones and Bregman may be reconciled.


Auditory Cortex Gamma Band Memory Unit Primary Auditory Cortex Mismatch Negativity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    B. Baird, T. Troyer, and F. Eeckman, Attentional network streams of synchronized 40 Hz activity in a cortical architecture of coupled oscillating associative memories. In: S. Levine, V. Brown, and T. Shirley, editors, Oscillations in Neural Systems. Laurence Erlbaum, NJ (1997, in press).Google Scholar
  2. [2]
    B. Baird, T. Troyer, and F. H. Eeckman, Attention as selective synchronization of oscillating cortical sensory and motor associative memories. In: F. H. Eeckman, editor, Neural Systems Analysis and Modeling, pages 167–175, Kluwer, Norwell, MA, 1994.Google Scholar
  3. [3]
    M. R. Jones and M. Boltz, Dynamic attending and responses to time. Psychological Review, 96: 459–491, 1989.PubMedCrossRefGoogle Scholar
  4. [4]
    A. S. Bregman, Auditory Scene Analysis, Oxford Univ. Press, Oxford, 1992.Google Scholar
  5. [5]
    G. Brown and M. Cooke, A neural oscillator model of auditory stream segregation. In: IJCAI Workshop on Computational Auditory Scene Analysis,1996, in press.Google Scholar
  6. [6]
    R. Naatanen, editor, Attention and Brain Function, Laurence Erlbaum, NJ, 1992.Google Scholar

Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Bill Baird
    • 1
  1. 1.Department of MathematicsUniversity of California at BerkeleyBerkeleyUSA

Personalised recommendations