ArticleFrontiers in neural circuits2015
Frequency-specific adaptation and its underlying circuit model in the auditory midbrain.
Article in Frontiers in neural circuits, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Novelty detection in an auditory oddball task on freely moving rats.Communications biology · 2023Article
- Context-Dependent Inhibitory Control of Stimulus-Specific Adaptation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Directional Preference in Avian Midbrain Saliency Computing Nucleus Reflects a Well-Designed Receptive Field Structure.Animals : an open access journal from MDPI · 2022Article
- Synaptic Adaptation Contributes to Stimulus-Specific Adaptation in the Thalamic Reticular Nucleus.Neuroscience bulletin · 2020Article
- Article
- Stimulus-Specific Adaptation Decreases the Coupling of Spikes to LFP Phase.Frontiers in neural circuits · 2019Article
- Neuronal Organization in the Inferior Colliculus Revisited with Cell-Type-Dependent Monosynaptic Tracing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
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3 authors.
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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.
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