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Related Concept Videos

Gain01:15

Gain

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Gain and phase shift are properties of linear circuits that describe the effect a circuit has on a sinusoidal input voltage or current. The circuit's behavior that contains reactive elements will depend on the frequency of the input sinusoid. As a result, it is observed that the gain and phase shift will all be frequency functions.
Gain:
Suppose Vin is the input and Vout is the output signal to a circuit.
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The Auditory Ossicles01:11

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The auditory ossicles of the middle ear transmit sounds from the air as vibrations to the fluid-filled cochlea. The auditory ossicles consist of two malleus (hammer) bones, two incus (anvil) bones, and two stapes (stirrups), one on each side. These bones develop during the fetal stage and are the ones to ossify first. They are fully mature at birth and do not grow afterward.
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Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
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The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
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Phase-Contrast Microscopes
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Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
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Functional Imaging of Auditory Cortex in Adult Cats using High-field fMRI
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Contrast gain control in mouse auditory cortex.

James E Cooke1,2, Andrew J King1, Ben D B Willmore1

  • 1Department of Physiology, Anatomy and Genetics, University of Oxford , Oxford , United Kingdom.

Journal of Neurophysiology
|July 26, 2018
PubMed
Summary
This summary is machine-generated.

Contrast gain control, a mechanism for robust neural representations, was found in the mouse auditory cortex. This systematic reduction in neural gain adjusts responses to sensory input contrast, suggesting a canonical computation.

Keywords:
auditory cortexcontrastgain controlmousespectrotemporal receptive field

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Area of Science:

  • Neuroscience
  • Auditory Cortex Research
  • Sensory Processing

Background:

  • The neocortex may use shared mechanisms for canonical computations across neural populations.
  • Understanding these mechanisms is crucial for deciphering neural processing.
  • Contrast gain control is a key computation for creating robust neural representations.

Purpose of the Study:

  • To investigate the presence and characteristics of contrast gain control in the mouse auditory cortex.
  • To determine if contrast gain control is a canonical computation in this brain region.

Main Methods:

  • Laminar extracellular recordings were performed in the auditory cortex of anesthetized mice.
  • Sensory stimuli with varying contrasts were presented to assess neural responses.
  • Neural gain was measured in response to changes in stimulus contrast.

Main Results:

  • An increase in stimulus contrast led to a compensatory reduction in neural response gain.
  • Auditory cortex representations were largely contrast invariant across layers.
  • Contrast gain control was strongest in deep cortical layers, suggesting intracortical mechanisms.

Conclusions:

  • Contrast gain control is present and widespread in the mouse auditory cortex.
  • This computation contributes to contrast-invariant neural representations.
  • The findings support contrast gain control as a canonical cortical computation and provide a basis for further mechanistic studies.