contrast gain control
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2020 ◽  
Vol 123 (4) ◽  
pp. 1536-1551 ◽  
Author(s):  
James E. Cooke ◽  
Martin C. Kahn ◽  
Edward O. Mann ◽  
Andrew J. King ◽  
Jan W. H. Schnupp ◽  
...  

We investigated whether contrast gain control is mediated by shunting inhibition from parvalbumin-positive interneurons in auditory cortex. We performed extracellular and intracellular recordings in mouse auditory cortex while presenting sensory stimuli with varying contrasts and manipulated parvalbumin-positive interneuron activity using optogenetics. We show that while parvalbumin-positive interneuron activity modulates the gain of cortical responses, this activity is not the primary mechanism for contrast gain control in auditory cortex.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Michael Lohse ◽  
Victoria M. Bajo ◽  
Andrew J. King ◽  
Ben D. B. Willmore

2019 ◽  
Vol 19 (13) ◽  
pp. 11
Author(s):  
Richard Russell ◽  
Carlota Batres ◽  
Alex L. Jones ◽  
Aurélie Porcheron

2019 ◽  
Author(s):  
Michael Lohse ◽  
Victoria M. Bajo ◽  
Andrew J. King ◽  
Ben D.B. Willmore

AbstractNeural adaptation enables sensory information to be represented optimally in the brain despite large fluctuations over time in the statistics of the environment. Auditory contrast gain control represents an important example, which is thought to arise primarily from cortical processing. We find, however, that neurons in both the auditory thalamus and midbrain of mice show robust contrast gain control, and that this is implemented independently of cortical activity. Although neurons at each level exhibit contrast gain control to similar degrees, adaptation time constants become longer at later stages of the processing hierarchy, resulting in progressively more stable representations. We also show that auditory discrimination thresholds in human listeners compensate for changes in contrast, and that the strength of this perceptual adaptation can be predicted from physiological measurements. Contrast adaptation is therefore a robust property of both the subcortical and cortical auditory system and accounts for the short-term adaptability of perceptual judgments.


2018 ◽  
Vol 38 (47) ◽  
pp. 10069-10079
Author(s):  
Melchi M. Michel ◽  
Yuzhi Chen ◽  
Eyal Seidemann ◽  
Wilson S. Geisler

2018 ◽  
Vol 120 (4) ◽  
pp. 1872-1884 ◽  
Author(s):  
James E. Cooke ◽  
Andrew J. King ◽  
Ben D. B. Willmore ◽  
Jan W. H. Schnupp

The neocortex is thought to employ a number of canonical computations, but little is known about whether these computations rely on shared mechanisms across different neural populations. In recent years, the mouse has emerged as a powerful model organism for the dissection of the circuits and mechanisms underlying various aspects of neural processing and therefore provides an important avenue for research into putative canonical computations. One such computation is contrast gain control, the systematic adjustment of neural gain in accordance with the contrast of sensory input, which helps to construct neural representations that are robust to the presence of background stimuli. Here, we characterized contrast gain control in the mouse auditory cortex. We performed laminar extracellular recordings in the auditory cortex of the anesthetized mouse while varying the contrast of the sensory input. We observed that an increase in stimulus contrast resulted in a compensatory reduction in the gain of neural responses, leading to representations in the mouse auditory cortex that are largely contrast invariant. Contrast gain control was present in all cortical layers but was found to be strongest in deep layers, indicating that intracortical mechanisms may contribute to these gain changes. These results lay a foundation for investigations into the mechanisms underlying contrast adaptation in the mouse auditory cortex. NEW & NOTEWORTHY We investigated whether contrast gain control, the systematic reduction in neural gain in response to an increase in sensory contrast, exists in the mouse auditory cortex. We performed extracellular recordings in the mouse auditory cortex while presenting sensory stimuli with varying contrasts and found this form of processing was widespread. This finding provides evidence that contrast gain control may represent a canonical cortical computation and lays a foundation for investigations into the underlying mechanisms.


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