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Population Coding and Correlated Variability in Electrosensory Pathways
by
Hofmann, Volker
, Chacron, Maurice J.
in
correlated variability
/ electric fish
/ Electrosensory system
/ feedback
/ Fish
/ Hindbrain
/ Lateral line
/ Neural coding
/ Neurons
/ Neuroscience
/ Noise
/ noise correlations
/ Physiology
/ Population
/ population coding
/ stimulus encoding
2018
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Population Coding and Correlated Variability in Electrosensory Pathways
by
Hofmann, Volker
, Chacron, Maurice J.
in
correlated variability
/ electric fish
/ Electrosensory system
/ feedback
/ Fish
/ Hindbrain
/ Lateral line
/ Neural coding
/ Neurons
/ Neuroscience
/ Noise
/ noise correlations
/ Physiology
/ Population
/ population coding
/ stimulus encoding
2018
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Do you wish to request the book?
Population Coding and Correlated Variability in Electrosensory Pathways
by
Hofmann, Volker
, Chacron, Maurice J.
in
correlated variability
/ electric fish
/ Electrosensory system
/ feedback
/ Fish
/ Hindbrain
/ Lateral line
/ Neural coding
/ Neurons
/ Neuroscience
/ Noise
/ noise correlations
/ Physiology
/ Population
/ population coding
/ stimulus encoding
2018
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Population Coding and Correlated Variability in Electrosensory Pathways
Journal Article
Population Coding and Correlated Variability in Electrosensory Pathways
2018
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Overview
The fact that perception and behavior depend on the simultaneous and coordinated activity of neural populations is well established. Understanding encoding through neuronal population activity is however complicated by the statistical dependencies between the activities of neurons, which can be present in terms of both their mean (signal correlations) and their response variability (noise correlations). Here, we review the state of knowledge regarding population coding and the influence of correlated variability in the electrosensory pathways of the weakly electric fish
. We summarize known population coding strategies at the peripheral level, which are largely unaffected by noise correlations. We then move on to the hindbrain, where existing data from the electrosensory lateral line lobe (ELL) shows the presence of noise correlations. We summarize the current knowledge regarding the mechanistic origins of noise correlations and known mechanisms of stimulus dependent correlation shaping in ELL. We finish by considering future directions for understanding population coding in the electrosensory pathways of weakly electric fish, highlighting the benefits of this model system for understanding the origins and impact of noise correlations on population coding.
Publisher
Frontiers Research Foundation,Frontiers Media S.A
Subject
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