scholarly journals Motion contrast in primary visual cortex: a direct comparison of single neuron and population encoding

2017 ◽  
Vol 47 (4) ◽  
pp. 358-369 ◽  
Author(s):  
Sergio Conde-Ocazionez ◽  
Tiago S. Altavini ◽  
Thomas Wunderle ◽  
Kerstin E. Schmidt
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Single Neuron ◽  
Motion Contrast

scholarly journals Running reduces firing but improves coding in rodent higher-order visual cortex

2017 ◽  
Author(s):  
Amelia J. Christensen ◽  
Jonathan W. Pillow
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Single Neuron ◽  
Higher Order ◽  
Visual Responses ◽  
Cortical Layers ◽  
Response Properties ◽  
Stimulus Response ◽  
Allen Brain ◽  
Visual Areas

Running profoundly alters stimulus-response properties in mouse primary visual cortex (V1), but its effects in higher-order visual cortex remain unknown. Here we systematically investigated how locomotion modulates visual responses across six visual areas and three cortical layers using a massive dataset from the Allen Brain Institute. Although running has been shown to increase firing in V1, we found that it suppressed firing in higher-order visual areas. Despite this reduction in gain, visual responses during running could be decoded more accurately than visual responses during stationary periods. We show that this effect was not attributable to changes in noise correlations, and propose that it instead arises from increased reliability of single neuron responses during running.

scholarly journals Dynamical processing of orientation precision in the primary visual cortex

2021 ◽  
Author(s):  
Hugo J. Ladret ◽  
Nelson Cortes ◽  
Lamyae Ikan ◽  
Frédéric Chavane ◽  
Christian Casanova ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Message Passing ◽  
Single Neuron ◽  
Internal Representation ◽  
Natural Images ◽  
Population Activity ◽  
V1 Neurons ◽  
Neural Representations ◽  
Orientation Distributions

The primary visual cortex (V1) processes complex mixtures of orientations to build neural representations of our visual environment. It remains unclear how V1 adapts to the highly volatile distributions of orientations found in natural images. We used naturalistic stimuli and measured the response of V1 neurons to orientation distributions of varying bandwidth. Although broad distributions decreased single neuron tuning, a neurally plausible decoder could robustly retrieve the orientations of stimuli from the population activity. Furthermore, we showed that V1 co-encodes orientation and its precision, which enhances population discriminatory performances. This internal representation is mediated by temporally distinct neural codes, supporting a precision-based description of the neuronal message passing in the visual cortex.

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