• DocumentCode
    471439
  • Title

    Behaviorally Modulated Filter Model for the Thalamic Reticular Nucleus

  • Author

    Scaglione, Alessandro ; Moxon, Karen A.

  • Author_Institution
    Sch. of Biomed. Eng., Sci. & Health Syst., Drexel Univ., Philadelphia, PA
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    595
  • Lastpage
    598
  • Abstract
    Incoming sensory information is first processed in the thalamocortical network. Previous studies showed that the responses generated in the nuclei of this network are behaviorally modulated, suggesting that the processing of the somatosensory information could be state dependent. Most theories, proposed to describe this response modulation have postulated that the thalamic reticular nucleus (TRN) plays a role in this response modulation. We suggest that the TRN acts as a bandpass filter whose bandwidth increases or decreases depending on the state of the animal. To test this idea, we used multineuron recordings and demonstrate, for the first time, that the responses of single neurons in the reticular nucleus are modulated by the behavior of the animal. This result, taken together with the anatomy of the thalamocortical network and previous studies on anesthetized rats, suggests that the modulation of the responses in the thalamus and cortex could be at least partially due to the TRN through a mechanism that is similar to that of a behavioral modulated filter
  • Keywords
    band-pass filters; behavioural sciences; brain; cellular biophysics; neurophysiology; somatosensory phenomena; TRN; anatomy; anesthetized rats; bandpass filter; behaviorally modulated filter model; incoming sensory information; multineuron recording; somatosensory information; thalamic reticular nucleus; thalamocortical network; Animals; Band pass filters; Bandwidth; Cities and towns; Electrodes; Frequency response; Neurons; Rats; Signal processing; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.260583
  • Filename
    4461820