• DocumentCode
    3595862
  • Title

    Cortical neural networks revealed by spatio-temporal neural observation and analysis on guinea pig auditory cortex

  • Author

    Fukunishi, Kohyu ; Murai, Nobuyuki ; Uno, Hiroyuki ; Miyashita, Tsuyoshi

  • Author_Institution
    Adv. Res. Lab., Hitachi Ltd., Saitama, Japan
  • Volume
    1
  • fYear
    1993
  • Firstpage
    73
  • Abstract
    The neural network structure of the tonotopical organization in the guinea pig primary auditory cortex was studied by observing the evoked responses to tone bursts. A 128-channel optical recording system was used and the patterns were analyzed by time series analysis using on the multivariable autoregressive model. The results revealed the existence of synchronized oscillatory neural activities of about 30 Hz in the response regions to the tone bursts. In addition, the dominant sources (the cortical region) that generated the oscillation in every responding cortical region were identified. The existence of the mutual neural connections in the cortical field were identified along the tonotopical band from the dorsal to the ventral. On the other hand, the oscillation might be propagated from the source region to the cortical region in the caudal or the rostral direction. Thus neural networks of the tonotopicity in the cortex were estimated by spatio-temporal neural observation and analysis.
  • Keywords
    auditory evoked potentials; autoregressive processes; hearing; neural nets; neurophysiology; physiological models; time series; auditory cortex; caudal direction; cortical neural networks; evoked responses; guinea pig; multivariable autoregressive model; rostral direction; spatio-temporal neural observation; synchronized oscillatory neural activities; tone bursts; tonotopical organization; Biological neural networks; Diodes; Neural networks; Optical arrays; Optical filters; Optical imaging; Optical recording; Pattern analysis; Time series analysis; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
  • Print_ISBN
    0-7803-1421-2
  • Type

    conf

  • DOI
    10.1109/IJCNN.1993.713862
  • Filename
    713862