Rhythm binding by electrical activity in different layers of the cat's visual cortex during conditioned stimulation

1982 ◽  
Vol 12 (6) ◽  
pp. 482-484
Author(s):  
D. B. Dordzhieva
Keyword(s):  
Visual Cortex ◽  
Electrical Activity ◽  
Conditioned Stimulation ◽  
Rhythm Binding

Ocular dominance shift in kitten visual cortex caused by imbalance in retinal electrical activity

Nature ◽  
1986 ◽  
Vol 324 (6093) ◽  
pp. 154-156 ◽  
Author(s):  
Barbara Chapman ◽  
Michael D. Jacobson ◽  
Holger O. Reiter ◽  
Michael P. Stryker
Keyword(s):  
Visual Cortex ◽  
Electrical Activity ◽  
Ocular Dominance

Oxygenation of the cat primary visual cortex

1999 ◽  
Vol 86 (5) ◽  
pp. 1490-1496 ◽  
Author(s):  
Lissa B. Padnick ◽  
Robert A. Linsenmeier ◽  
Thomas K. Goldstick
Keyword(s):  
Cerebrospinal Fluid ◽  
Visual Cortex ◽  
Electrical Activity ◽  
Primary Visual Cortex ◽  
Tissue Oxygenation ◽  
Fluid Pressure ◽  
Cerebrospinal Fluid Pressure ◽  
The Brain

Tissue [Formula: see text] was measured in the primary visual cortex of anesthetized, artificially ventilated normovolemic cats to examine tissue oxygenation with respect to depth. The method utilized 1) a chamber designed to maintain cerebrospinal fluid pressure and prevent ambient[Formula: see text] from influencing the brain, 2) a microelectrode capable of recording electrical activity as well as local[Formula: see text], and 3) recordings primarily during electrode withdrawal from the cortex rather than during penetrations. Local peaks in the [Formula: see text] profiles were consistent with the presence of numerous vessels. Excluding the superficial 200 μm of the cortex, in which the ambient[Formula: see text] may have influenced tissue[Formula: see text], there was a slight decrease (4.9 Torr/mm cortex) in [Formula: see text] as a function of depth. After all depths and cats were weighted equally, the average [Formula: see text] in six cats was 12.8 Torr, with approximately one-half of the values being ≤10 Torr. The kurtosis of the [Formula: see text] histogram, with all depths and cats weighted equally, was 3.61, and the skewness was 1.70.

Behavior and 40-C/Sec. Electrical Activity in the Brain

1966 ◽  
Vol 19 (3_suppl) ◽  
pp. 1333-1334 ◽  
Author(s):  
Daniel E. Sheer ◽  
Netta W. Grandstaff ◽  
Vernon A. Benignus
Keyword(s):  
Visual Cortex ◽  
Electrical Activity ◽  
Behavioral Response ◽  
The Brain

A 40-c/sec. rhythmic electrical activity occurs in various rhinencephalic structures, auditory and visual cortex of the cat with the acquisition of a behavioral response during learning.

scholarly journals Perception of cuts in different editing styles

2021 ◽  
Author(s):  
Celia Andreu-Sánchez ◽  
Miguel-Ángel Martín-Pascual
Keyword(s):  
Visual Cortex ◽  
Electrical Activity ◽  
Cognitive Processing ◽  
Brain Activity ◽  
The Other ◽  
Music Video ◽  
Video Clips ◽  
Hollywood Movies ◽  
Initial Hypothesis ◽  
Processing Zone

The goal of this work is to explain how the cuts and their insertion in different editing styles influence the attention of viewers. The starting hypothesis is that viewers’ response to cuts varies depending on whether they watch a movie with a classical versus a messy or chaotic editing style. To undertake this investigation, we created three videos with the same narrative content and duration but different editing styles. One video was a fixed one-shot movie. Another video followed a classical editing style, based on the rules of classic Hollywood movies, according to David Bordwell’s studies. The other video used a chaotic style, beyond post-classic, which broke the classical rules of continuity and was inspired by music video clips. We showed these stimuli to 40 subjects while recording their brain activity using the electroencephalography (EEG) technique. The results showed that cuts reduce the eyeblink frequency during the second after they are seen. Since blinking is a well-known attention marker, we propose that cuts increase viewers’ attention. Cuts initiate a flow of electrical activity from the visual cortex to the cognitive processing zone in the prefrontal area. We also found that the different editing styles in which cuts are inserted affected perception, confirming the initial hypothesis. These results could be of great interest and utility for creators of audiovisual content and the management of attention in their work.

scholarly journals Transient shifts in frontal and parietal circuits scale with enhanced visual feedback and changes in force variability and error

2013 ◽  
Vol 109 (8) ◽  
pp. 2205-2215 ◽  
Author(s):  
Cynthia Poon ◽  
Stephen A. Coombes ◽  
Daniel M. Corcos ◽  
Evangelos A. Christou ◽  
David E. Vaillancourt
Keyword(s):  
Visual Cortex ◽  
Electrical Activity ◽  
Frontal Cortex ◽  
Parietal Cortex ◽  
Cortical Activity ◽  
Source Analysis ◽  
Force Variability ◽  
Time Varying ◽  
Visual Gain ◽  
Extrastriate Visual Cortex

When subjects perform a learned motor task with increased visual gain, error and variability are reduced. Neuroimaging studies have identified a corresponding increase in activity in parietal cortex, premotor cortex, primary motor cortex, and extrastriate visual cortex. Much less is understood about the neural processes that underlie the immediate transition from low to high visual gain within a trial. This study used 128-channel electroencephalography to measure cortical activity during a visually guided precision grip task, in which the gain of the visual display was changed during the task. Force variability during the transition from low to high visual gain was characterized by an inverted U-shape, whereas force error decreased from low to high gain. Source analysis identified cortical activity in the same structures previously identified using functional magnetic resonance imaging. Source analysis also identified a time-varying shift in the strongest source activity. Superior regions of the motor and parietal cortex had stronger source activity from 300 to 600 ms after the transition, whereas inferior regions of the extrastriate visual cortex had stronger source activity from 500 to 700 ms after the transition. Force variability and electrical activity were linearly related, with a positive relation in the parietal cortex and a negative relation in the frontal cortex. Force error was nonlinearly related to electrical activity in the parietal cortex and frontal cortex by a quadratic function. This is the first evidence that force variability and force error are systematically related to a time-varying shift in cortical activity in frontal and parietal cortex in response to enhanced visual gain.

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