• DocumentCode
    534429
  • Title

    Repeat burst for timing code in excitatory neuronal network on multi-electrode array

  • Author

    Li, Xiangning ; Pu, Jiangbo ; Chen, Wenjuan ; Zhou, Wei ; Gong, Hui ; Luo, Qingming

  • Author_Institution
    Wuhan Nat. Lab. for Optoelectron., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    4
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1565
  • Lastpage
    1568
  • Abstract
    Concise coding for input plays an important role in neural signal processing. In previous studies, three types of neural signal coding were raised: rate, timing and population coding. By multi-electrode array, the coding of input intensities in cultured hippocampal neuronal networks was examined. In excitatory neuronal network, responses to input intensities focused on the three periods: 1~10 ms, 11~30 ms, 41~60 ms. The dynamics on firing rate to input intensities in each timings was distinct: in 1~10 ms, the sublinear relationship to increasing input intensities was exhibited over the whole input range; in 11~30 ms, only a transition was occurred in inputs from 300 to 400mV; in 41~60 ms, a linear increase with input from 300 to 600 mV. These results suggest that the coding to input intensities was a complex mode that is repeat burst based-on timing in high density cultured neuronal network.
  • Keywords
    biomedical electrodes; medical signal processing; neural nets; neurophysiology; cultured hippocampal neuronal networks; excitatory neuronal network; multielectrode array; neural signal processing; repeat burst; time 1 ms to 10 ms; time 11 ms to 30 ms; time 41 ms to 60 ms; timing code; Arrays; Biological neural networks; Electrodes; Encoding; Firing; Neurons; Timing; excitatory neuronal network; input intensity; multi-electrode array; rate coding; timing coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639256
  • Filename
    5639256