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
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