Browsing Psychology by Subject "Visual Cortex"
Now showing items 1-7 of 7
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Adaptation maintains population homeostasis in primary visual cortex.
(2013-06)Sensory systems exhibit mechanisms of neural adaptation, which adjust neuronal activity on the basis of recent stimulus history. In primary visual cortex (V1) in particular, adaptation controls the responsiveness of ... -
Coding of stimulus sequences by population responses in visual cortex.
(2009-10)Neuronal populations in sensory cortex represent time-changing sensory input through a spatiotemporal code. What are the rules that govern this code? We measured membrane potentials and spikes from neuronal populations in ... -
Efficient coding of natural images in the mouse visual cortex.
(Springer Nature, 2024-03-19)How the activity of neurons gives rise to natural vision remains a matter of intense investigation. The mid-level visual areas along the ventral stream are selective to a common class of natural images-textures-but a ... -
Restoration of vision after transplantation of photoreceptors.
(2012-05-03)Cell transplantation is a potential strategy for treating blindness caused by the loss of photoreceptors. Although transplanted rod-precursor cells are able to migrate into the adult retina and differentiate to acquire the ... -
A review of interactions between peripheral and foveal vision.
(2020-11-02)Visual processing varies dramatically across the visual field. These differences start in the retina and continue all the way to the visual cortex. Despite these differences in processing, the perceptual experience of ... -
Standing waves and traveling waves distinguish two circuits in visual cortex.
(2007-07-05)The visual cortex represents stimuli through the activity of neuronal populations. We measured the evolution of this activity in space and time by imaging voltage-sensitive dyes in cat area V1. Contrast-reversing stimuli ... -
Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance.
(2015-03-04)An increasingly powerful approach for studying brain circuits relies on targeting genetically encoded sensors and effectors to specific cell types. However, current approaches for this are still limited in functionality ...
