• DocumentCode
    3494655
  • Title

    Statistical models and sensory attention

  • Author

    Dayan, Peter ; Zemel, Richard S.

  • Author_Institution
    GCNU, London, UK
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1017
  • Abstract
    Physiological investigations into the neural basis of sensory attention have led to puzzling and contradictory results. Attention can seemingly lead to increased, decreased and unchanged neural activities, according to features of attentional experiments that are not well understood. We take one particular case in which activities increase as a result of attention, model its possible statistical underpinning, and relate our model to other attentional suggestions. Increased activities in population codes are associated with increased certainty about the encoded quantities. This increased certainty has to come from somewhere; in our model it emerges from particular changes in the model´s processing strategy
  • Keywords
    neurophysiology; neural activities; sensory attention; statistical models;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470)
  • Conference_Location
    Edinburgh
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-721-7
  • Type

    conf

  • DOI
    10.1049/cp:19991246
  • Filename
    818071