AB062. Cortical state contribution to neuronal response variability

2018 ◽  
Vol 3 ◽  
pp. AB062-AB062
Author(s):  
Shangge Jiang ◽  
Guangxing Li ◽  
Curtis L. Baker
Keyword(s):  
Neuronal Response ◽  
Response Variability ◽  
State Contribution

scholarly journals Neuronal response variability as a product of divisive normalization; neurobiological implications at a macroscale level

2020 ◽  
Vol 3 ◽  
pp. 34
Author(s):  
Kathy L. Ruddy ◽  
David M. Cole ◽  
Colin Simon ◽  
Marc T. Bächinger
Keyword(s):  
Potential Role ◽  
Neuronal Response ◽  
Quantitative Model ◽  
Response Variability ◽  
Sensory Cortex ◽  
Neural Oscillations ◽  
Neural Encoding ◽  
Approach Response ◽  
Divisive Normalization

The occurrence of neuronal spikes recorded directly from sensory cortex is highly irregular within and between presentations of an invariant stimulus. The traditional solution has been to average responses across many trials. However, with this approach, response variability is downplayed as noise, so it is assumed that statistically controlling it will reveal the brain’s true response to a stimulus. A mounting body of evidence suggests that this approach is inadequate. For example, experiments show that response variability itself varies as a function of stimulus dimensions like contrast and state dimensions like attention. In other words, response variability has structure, is therefore potentially informative and should be incorporated into models which try to explain neural encoding. In this article we provide commentary on a recently published study by Coen-Cagli and Solomon that incorporates spike variability in a quantitative model, by explaining it as a function of divisive normalization. We consider the potential role of neural oscillations in this process as a potential bridge between the current microscale findings and response variability at the mesoscale/macroscale level.

Intermittent stimulus presentation stabilizes neuronal responses in macaque area MT

2012 ◽  
Vol 108 (8) ◽  
pp. 2101-2114 ◽  
Author(s):  
P. Christiaan Klink ◽  
Anna Oleksiak ◽  
Martin J. M. Lankheet ◽  
Richard J. A. van Wezel
Keyword(s):  
Neuronal Response ◽  
Stimulus Presentation ◽  
Sensory Stimulation ◽  
Response Variability ◽  
Spike Timing ◽  
Response Magnitude ◽  
General Effect ◽  
Neuronal Responses ◽  
Area Mt ◽  
Response Characteristics

Repeated stimulation impacts neuronal responses. Here we show how response characteristics of sensory neurons in macaque visual cortex are influenced by the duration of the interruptions during intermittent stimulus presentation. Besides effects on response magnitude consistent with neuronal adaptation, the response variability was also systematically influenced. Spike rate variability in motion-sensitive area MT decreased when interruption durations were systematically increased from 250 to 2,000 ms. Activity fluctuations between subsequent trials and Fano factors over full response sequences were both lower with longer interruptions, while spike timing patterns became more regular. These variability changes partially depended on the response magnitude, but another significant effect that was uncorrelated with adaptation-induced changes in response magnitude was also present. Reduced response variability was furthermore accompanied by changes in spike-field coherence, pointing to the possibility that reduced spiking variability results from interactions in the local cortical network. While neuronal response stabilization may be a general effect of repeated sensory stimulation, we discuss its potential link with the phenomenon of perceptual stabilization of ambiguous stimuli as a result of interrupted presentation.

scholarly journals Local field potentials indicate network state and account for neuronal response variability

2010 ◽  
Vol 29 (3) ◽  
pp. 567-579 ◽  
Author(s):  
Ryan C. Kelly ◽  
Matthew A. Smith ◽  
Robert E. Kass ◽  
Tai Sing Lee
Keyword(s):  
Local Field ◽  
Neuronal Response ◽  
Local Field Potentials ◽  
Response Variability ◽  
Field Potentials ◽  
Network State

scholarly journals Relating Divisive Normalization to Neuronal Response Variability

2019 ◽  
Vol 39 (37) ◽  
pp. 7344-7356 ◽  
Author(s):  
Ruben Coen-Cagli ◽  
Selina S. Solomon
Keyword(s):  
Neuronal Response ◽  
Response Variability ◽  
Divisive Normalization
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