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Behaviorally Modulated Filter Model for the Thalamic Reticular Nucleus

Authors: Alessandro Scaglione; Karen A. Moxon;

Behaviorally Modulated Filter Model for the Thalamic Reticular Nucleus

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.

Related Organizations
Keywords

Neuronal Plasticity, Behavior, Animal, Models, Neurological, Adaptation, Physiological, Rats, Touch, Evoked Potentials, Somatosensory, Thalamic Nuclei, Vibrissae, Neural Pathways, Animals, Computer Simulation, Nerve Net

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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