NDLI: Frequency-specific adaptation and its underlying circuit model in the auditory midbrain

Content Provider	PubMed Central
Author	Shen, Li Zhao, Lingyun Hong, Bo
Copyright Year	2015
Abstract	Receptive fields of sensory neurons are considered to be dynamic and depend on the stimulus history. In the auditory system, evidence of dynamic frequency-receptive fields has been found following stimulus-specific adaptation (SSA). However, the underlying mechanism and circuitry of SSA have not been fully elucidated. Here, we studied how frequency-receptive fields of neurons in rat inferior colliculus (IC) changed when exposed to a biased tone sequence. Pure tone with one specific frequency (adaptor) was presented markedly more often than others. The adapted tuning was compared with the original tuning measured with an unbiased sequence. We found inhomogeneous changes in frequency tuning in IC, exhibiting a center-surround pattern with respect to the neuron's best frequency. Central adaptors elicited strong suppressive and repulsive changes while flank adaptors induced facilitative and attractive changes. Moreover, we proposed a two-layer model of the underlying network, which not only reproduced the adaptive changes in the receptive fields but also predicted novelty responses to oddball sequences. These results suggest that frequency-specific adaptation in auditory midbrain can be accounted for by an adapted frequency channel and its lateral spreading of adaptation, which shed light on the organization of the underlying circuitry.
Related Links	http://dx.doi.org/10.3389/fncir.2015.00055
Starting Page	55
File Format	PDF
ISSN	16625110
e-ISSN	16625110
Journal	Frontiers in Neural Circuits
Volume Number	9
Language	English
Publisher	Frontiers Media S.A.
Publisher Date	2015-10-01
Access Restriction	Open
Rights Holder	Frontiers Media S.A.
Subject Keyword	Sensory Systems Cognitive Neuroscience Cellular and Molecular Neuroscience Neuroscience (miscellaneous) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Cognitive Neuroscience Sensory Systems Cellular and Molecular Neuroscience

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